2025 Conference Program


Online-Only Days: Wednesday, May 28th | Thursday, May 29th

Hybrid Days: Wednesday, June 11th | Thursday, June 12th | Friday, June 13th


Thursday, May 29th, 2025 (Online-Only)

All times are Eastern time. All sessions will be streamed online and recorded for registered attendees.


9:00 AM - 9.15 AM

Opening Session

David Guralnick, Ph.D.
President and CEO
Kaleidoscope Learning
New York, New York, USA


9:15 AM - 10:45 PM - PARALLEL SESSIONS


TRACK 1 [ONLINE] - SESSION 1D
Session Chair: TBD
9:15 AM - 10:45 PM


9:15 AM - 9:45 AM

The Development of an AI Counselor in the Metaverse and Classification of Conversational Content

Hiroko Kanoh, Ph.D., Yamagata University, Yamagata-ken, Japan

With the recent surge in the number of students who refuse to attend school, educational applications of the Metaverse have garnered increasing attention. This study focuses on the development of an AI counselor, "Hironya AI," within a Metaverse environment to support the learning of these students. We selected Cluster as the Metaverse platform and integrated ChatGPT API using Unity and Google Apps Script to enable interactive conversations. By designing the AI in the form of an animal, we aimed to reduce the anxiety and resistance associated with human-to-human interactions, particularly for individuals with social anxiety tendencies. While the system is ultimately intended for school-refusing students, in this study, we analyzed conversations of visitors who interacted with the AI in an openly accessible Metaverse environment. The collected conversations were classified into the following five categories: (1) Academic and work-related concerns, (2) Daily life and health inquiries, (3) Social and interpersonal issues, (4) Discussions about the Metaverse and AI, and (5) Casual conversations and entertainment. This classification serves as a foundational step toward the future integration of AI counselors in educational settings, providing insights into how virtual AI interactions can be effectively leveraged in schools.

Keywords: metaverse, AI, generative AI, AI counsellor, school refusal

The Development of an AI Counselor in the Metaverse and Classification of Conversational Content

Hiroko Kanoh, Ph.D.


With the recent surge in the number of students who refuse to attend school, educational applications of the Metaverse have garnered increasing attention. This study focuses on the development of an AI counselor, "Hironya AI," within a Metaverse environment to support the learning of these students. We selected Cluster as the Metaverse platform and integrated ChatGPT API using Unity and Google Apps Script to enable interactive conversations. By designing the AI in the form of an animal, we aimed to reduce the anxiety and resistance associated with human-to-human interactions, particularly for individuals with social anxiety tendencies. While the system is ultimately intended for school-refusing students, in this study, we analyzed conversations of visitors who interacted with the AI in an openly accessible Metaverse environment. The collected conversations were classified into the following five categories: (1) Academic and work-related concerns, (2) Daily life and health inquiries, (3) Social and interpersonal issues, (4) Discussions about the Metaverse and AI, and (5) Casual conversations and entertainment. This classification serves as a foundational step toward the future integration of AI counselors in educational settings, providing insights into how virtual AI interactions can be effectively leveraged in schools.


9:45 AM - 10:45 AM

Using Adaptivity and Personalization in Training People on Occupational Accident Prevention Based on the Artificial Intelligence Analysis of Interactions

Klaus P. Jantke, Ph.D., ADAMATIK GmbH, Weimar, Germany, Oksana Arnold, Ph.D., Erfurt University of Applied Sciences, Erfurt, Germany, Ronny Franke, Fraunhofer Institute for Factory Operation and Automation IFF, Magdeburg, Germany, and Hans-Holger Wache, Institution for Statutory Accidents Insurance and Prevention for Raw Materials and Chemical Industry, Prevention Center Berlin, Berlin, Germany

The authors’ principal area of application is training for the prevention of accidents in the process technology industries. They run a professional training center with their own 3D virtual environments. Their approach may be carried over to application domains such as health care, crime prevention, and child safety.

At TLIC 2021, the authors delivered a contribution advocating planning of training experiences as dynamically as managing disturbed technical systems back into normal operation. Trainees who failed to complete their task – thereby possibly ruining a (fortunately only virtual) technical installation – are enabled to virtually travel back in time to make good the damage…

Keywords: occupational accident prevention, game-based training, adaptivity, personalization, artificial intelligence

Using Adaptivity and Personalization in Training People on Occupational Accident Prevention Based on the Artificial Intelligence Analysis of Interactions

Klaus P. Jantke, Ph.D., Oksana Arnold, Ph.D., Ronny Franke, and Hans-Holger Wache


The authors' principal area of application is training for the prevention of accidents in the process technology industries. They run a professional training center with their own 3D virtual environments. Their approach may be carried over to application domains such as health care, crime prevention, and child safety.

At TLIC 2021, the authors delivered a contribution advocating planning of training experiences as dynamic as managing disturbed technical systems back into normal operation. Trainees who failed to complete their task – thereby possibly ruining a (fortunately only virtual) technical installation – are enabled to virtually travel back in time to make good the damage. At TLIC 2022, they introduced cascades of gradually more intricate categories of time travel games. At TLIC 2023, the extended team of authors presented a novel perspective that leads to a more human-centered adaptive guidance. Training is seen through the lens of deontic modal logic. At TLIC 2024, training was seen as interactive digital storytelling, more appropriately, as interactive story engagement. Trainees participate in stories and contribute to the personalized unfolding of the plot. The creative process in focus was the interdisciplinary design of spaces of stories with high educational potential.

At TLIC 2025, the authors focus the question where the information comes from that enables the game’s AI to adapt to a trainee’s needs and desires. The keys are patterns in the history of game play. The authors develop a catalogue of patterns and methods to respond to occurring patterns by appropriate guidance of trainees. The approach bears the potential of explainability – the game AI is able to explain what it is doing and why it is doing so.

All concepts and their respective representations are illustrated through intuitive examples and demonstrated by screenshots and videos from the authors’ running applications. This includes personalized behavior and explanations on demand.


TRACK 2 [ONLINE] - SESSION 2D
Session Chair:
TBD
9:15 AM - 10:45 AM


9:15 AM - 9:45 AM

Enhancing Corporate Wellness through Work Passion Focused Learning Environments

Jhoanna Paula Daria, Shangri-La Group, Hong Kong, China

Corporate wellness programs traditionally emphasize physical health and superficial engagement activities, often neglecting deeper intrinsic factors like work passion. This paper redefines corporate wellness by integrating work passion into wellness programs, highlighting the importance of a supportive learning environment that fosters enthusiasm for work. By focusing on the emotional and cognitive dimensions of employee engagement and satisfaction, the paper suggests that conceptual change through online learning and self-regulated learning via performance management can effectively nurture work passion. This approach reduces stress and burnout and enhances job satisfaction, performance, and retention, ultimately contributing to organizational success. The aim is to provide a framework for developing work passion-oriented corporate wellness programs that promote a holistic approach to employee well-being, valuable for HR professionals and organizational leaders aiming to enhance corporate wellness and employee performance through a passion-driven approach.

Keywords: corporate wellness, work passion, conceptual change, self-regulated learning

Enhancing Corporate Wellness through Work Passion Focused Learning Environments

Jhoanna Paula Daria


Corporate wellness programs traditionally emphasize physical health and superficial engagement activities, often neglecting deeper intrinsic factors like work passion. This paper redefines corporate wellness by integrating work passion into wellness programs, highlighting the importance of a supportive learning environment that fosters enthusiasm for work. By focusing on the emotional and cognitive dimensions of employee engagement and satisfaction, the paper suggests that conceptual change through online learning and self-regulated learning via performance management can effectively nurture work passion. This approach reduces stress and burnout and enhances job satisfaction, performance, and retention, ultimately contributing to organizational success. The aim is to provide a framework for developing work passion-oriented corporate wellness programs that promote a holistic approach to employee well-being, valuable for HR professionals and organizational leaders aiming to enhance corporate wellness and employee performance through a passion-driven approach.


9:45 AM - 10:15 AM

Immersive Museum Experiences: Natural Sciences, Cultural Heritage, Ancient Building Techniques

Fernando Salvetti, Ph.D., and Barbara Bertagni, Ph.D., Logosnet LLC, Houston, Texas, USA

At e-REAL labs, we are revolutionizing museum experiences by integrating extended reality (XR) and generative artificial intelligence (AI). Collaborating with leading cultural institutions, we have developed interactive and immersive solutions that bring natural sciences, cultural heritage, and ancient building techniques to life. Our projects include installations at the Regional Museum of Natural Sciences in Turin, Italy, the "Mortar Mixer" joint initiative (managed by the University of Italian Switzerland and the University of Applied Sciences and Arts of Southern Switzerland, on behalf of the Swiss Government, the Foundation Pro Kloster St. Johann in Müstair and the City of Bellinzona, Switzerland, jointly with UNESCO in Paris, France), and the Digital Alpine Museum (DAM) that is a project developed by the European Union involving two Italian regional governments (Aoste Valley and Liguria) and two French Departments (Savoy and the Hautes-Alpes).

At the Museum of Natural Sciences in Turin, we created interactive video-mapping installations, immersive displays, and AI-powered avatars, enabling visitors to engage in dynamic dialogues with historical figures and explore ecosystems through augmented and mixed reality. Switzerland's "Mortar Mixer" initiative focuses on reconstructing medieval building methods: it features a 3D-modeled mortar mixer and interactive displays blending physical artifacts with virtual replicas. The DAM project combines digitalized artifacts and customizable virtual exhibition halls, enhancing cross-border access to cultural heritage…

Keywords: immersive technology, cultural heritage, extended reality (XR), AI-powered avatars, interactive storytelling

Immersive Museum Experiences: Natural Sciences, Cultural Heritage, Ancient Building Techniques

Fernando Salvetti, Ph.D., and Barbara Bertagni, Ph.D.


At e-REAL labs, we are revolutionizing museum experiences by integrating extended reality (XR) and generative artificial intelligence (AI). Collaborating with leading cultural institutions, we have developed interactive and immersive solutions that bring natural sciences, cultural heritage, and ancient building techniques to life. Our projects include installations at the Regional Museum of Natural Sciences in Turin, Italy, the "Mortar Mixer" joint initiative (managed by the University of Italian Switzerland and the University of Applied Sciences and Arts of Southern Switzerland, on behalf of the Swiss Government, the Foundation Pro Kloster St. Johann in Müstair and the City of Bellinzona, Switzerland, jointly with UNESCO in Paris, France), and the Digital Alpine Museum (DAM) that is a project developed by the European Union involving two Italian regional governments (Aoste Valley and Liguria) and two French Departments (Savoy and the Hautes-Alpes).

At the Museum of Natural Sciences in Turin, we created interactive video-mapping installations, immersive displays, and AI-powered avatars, enabling visitors to engage in dynamic dialogues with historical figures and explore ecosystems through augmented and mixed reality. Switzerland's "Mortar Mixer" initiative focuses on reconstructing medieval building methods: it features a 3D-modeled mortar mixer and interactive displays blending physical artifacts with virtual replicas. The DAM project combines digitalized artifacts and customizable virtual exhibition halls, enhancing cross-border access to cultural heritage.

Our AI-driven avatars act as dynamic learning and engagement partners, capable of understanding and responding to visitors' queries in multiple languages. They facilitate a deeper connection to exhibits by personalizing the experience and offering interactive storytelling that adapts to user interactions. By incorporating advanced XR platforms, we have transformed static museum displays into living, interactive environments.

This innovative approach redefines how museums connect with their audiences. By blending historical content with cutting-edge technology, our solutions preserve cultural heritage while making it accessible and engaging for future generations. With projects spanning multiple regions and disciplines, we set a new standard for immersive, educational, and inclusive museum experiences.


10:15 AM - 10:45 AM

Fostering Climate Literacy Through the 2CG Multi-Method Approach: Imagination, Storytelling, Art & AI

Christina Merl, TalkShop/2CG, Wien, Austria

The 2CG (Content and Context) multi-method approach integrates climate fiction, polyphonic storytelling, artistic disruptions, and AI to cultivate essential future skills, including climate literacy. By empowering learners to imagine and co-create alternative futures, this innovative framework counteracts the dominance of dystopian thinking and promotes the articulation of utopian possibilities. Imagination and storytelling are positioned as critical tools for fostering emotional connections, inspiring critical reflection, and enabling creative problem-solving in the face of complex global challenges.

This session examines the application of the 2CG approach through case studies conducted across diverse educational contexts, including higher education, schools, and organizational training. These examples illustrate how integrating creative methodologies with climate education raises awareness, facilitates the co-creation of alternative narratives, and fosters individual and collective agency. By demonstrating the transformative potential of this integrated approach, the paper highlights its capacity to inspire sustainable and just futures…

Keywords: climate literacy, future skills, AI, storytelling, art and imagination

Fostering Climate Literacy Through the 2CG Multi-Method Approach: Imagination, Storytelling, Art & AI

Christina Merl


The 2CG (Content and Context) multi-method approach integrates climate fiction, polyphonic storytelling, artistic disruptions, and AI to cultivate essential future skills, including climate literacy. By empowering learners to imagine and co-create alternative futures, this innovative framework counteracts the dominance of dystopian thinking and promotes the articulation of utopian possibilities. Imagination and storytelling are positioned as critical tools for fostering emotional connections, inspiring critical reflection, and enabling creative problem-solving in the face of complex global challenges.

This session examines the application of the 2CG approach through case studies conducted across diverse educational contexts, including higher education, schools, and organizational training. These examples illustrate how integrating creative methodologies with climate education raises awareness, facilitates the co-creation of alternative narratives, and fosters individual and collective agency. By demonstrating the transformative potential of this integrated approach, the paper highlights its capacity to inspire sustainable and just futures.

The session will contribute to current discourse on climate education by showcasing how the 2CG framework addresses the urgent need for innovative pedagogies that empower learners, enhance climate literacy, involve AI, and develop the skills necessary for systemic change in the face of the climate crisis.


TRACK 3 [ONLINE] - SESSION 3D
Session Chair: TBD
9:15 AM - 10:45 AM


9:15 AM - 9:45 AM

Interactive Learning in Fashion Design Education: Enhancing Creativity and Engagement with AI

Ngan Yi Kitty Lam, Ph.D., Kawai Lo, Ph.D., and Xingxing Zou, Ph.D., School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, China

In the rapidly evolving landscape of fashion design education, integrating artificial intelligence (AI) is becoming increasingly essential to foster creativity and engagement among students. The interaction between learners and instructors plays a pivotal role in interactive learning environments, aiming to enrich the student learning experience and elevate learning outcomes. This paper examines the integration of AI into these environments, focusing on how AI can enhance interactions and elevate student creativity. The study employs a mixed-methods approach, utilising pre- and post-test assessments to evaluate the impact of AI integration on student creativity and engagement…

Keywords: interactive learning, artificial intelligence (AI), fashion design education, creativity enhancement, student engagement

Interactive Learning in Fashion Design Education: Enhancing Creativity and Engagement with AI

Ngan Yi Kitty Lam, Ph.D., Kawai Lo, Ph.D., and Xingxing Zou, Ph.D.


In the rapidly evolving landscape of fashion design education, integrating artificial intelligence (AI) is becoming increasingly essential to foster creativity and engagement among students. The interaction between learners and instructors plays a pivotal role in interactive learning environments, aiming to enrich the student learning experience and elevate learning outcomes. This paper examines the integration of AI into these environments, focusing on how AI can enhance interactions and elevate student creativity. The study employs a mixed-methods approach, utilising pre- and post-test assessments to evaluate the impact of AI integration on student creativity and engagement.

Participants included both fashion design majors and students taking the course as an elective. AI tools were integrated into the course curriculum, allowing students to explore innovative design solutions and receive real-time insights from instructors. Results from the pre- and post-tests indicate significant improvements, highlighting the effectiveness of AI in enriching students' learning experiences in fashion and textile design within an interactive learning environment.

Student feedback reveals that AI tools significantly elevated their work, offering new perspectives and enhancing their design capabilities. These tools not only supported creative exploration but also strengthened the interaction between learners and instructors, fostering a more collaborative and responsive learning environment. This paper underscores the transformative potential of AI in fashion design education, providing practical recommendations for educators on leveraging technology to optimise classroom dynamics and student outcomes.


9:45 AM - 10:15 AM

Tourism Employees' Well-Being: An Innovative Educational Framework Integrating the PERMA Model of Well-Being and Transformative Learning

Sofia Kallou, Ph.D., Aikaterina Kikilia, Ph.D., University of West Attica, Aegaleo, Greece, Michael Kalogiannakis, Ph.D, University of Thessaly, Volos, Greece, and Dimitrios A. Papachristos, Ph.D., National Kapodistrian University of Athens, Psachna-Evia, Greece

In today's fast-changing work environment, there is a growing emphasis on the well-being of employees in both organizations and academia. While previous research in the tourism sector has mainly focused on the well-being of tourists, the psychological well-being of tourism employees has been neglected. This paper aims to fill this gap by focusing on the well-being of tourism employees and presenting an educational framework that integrates well-being, modern adult learning theories, and interactive educational technologies into tourism education and training.

The educational framework is rooted in Positive Psychology, emphasizing well-being, empowerment, resilience building, and flourishing. It also incorporates Transformative Learning Theory as a contemporary adult education approach derived from adults' experiences. Incorporating Transformative Learning into the educational process helps students challenge their existing beliefs and values through critical reflection and rational dialogue…

Keywords: well-being, positive psychology, Perma model, tourism education, transformative learning

Tourism Employees' Well-Being: An Innovative Educational Framework Integrating the PERMA Model of Well-Being and Transformative Learning

Sofia Kallou, Ph.D., Katerina Kikilia, Ph.D., Michael Kalogiannakis, Ph.D, and Dimitrios A. Papachristos


In today's fast-changing work environment, there is a growing emphasis on the well-being of employees in both organizations and academia. While previous research in the tourism sector has mainly focused on the well-being of tourists, the psychological well-being of tourism employees has been neglected. This paper aims to fill this gap by focusing on the well-being of tourism employees and presenting an educational framework that integrates well-being, modern adult learning theories, and interactive educational technologies into tourism education and training.

The educational framework is rooted in Positive Psychology, emphasizing well-being, empowerment, resilience building, and flourishing. It also incorporates Transformative Learning Theory as a contemporary adult education approach derived from adults' experiences. Incorporating Transformative Learning into the educational process helps students challenge their existing beliefs and values through critical reflection and rational dialogue. This enables them to become more open and receptive, inspiring them to change their mindset and develop within the diverse and multicultural environment of the tourism sector. This paper also utilizes Seligman's PERMA model, which emphasizes five key elements of well-being: Positive emotion, Engagement, Relationships, Meaning, and Accomplishment. Digital learning tools are also employed since they enhance learning and transform the educational process into an engaging and effective experience.


10:15 AM - 10:45 AM

AI’s Role in Transforming Educator-Student Dynamics and Teaching Efficacy in Ugandan Secondary Schools: Advancing Quality Education in the New Competency-Based Curriculum

Saadat Kimuli, Ph.D., Makerere University Business School, Kampala, Uganda, Nashua Kimuli Nabaggala, Kibuli Secondary School, Kampala, Uganda, Samuel Walulumba, and Apio Juliet Joy, Makerere University Business School, Kampala, Uganda

This study explores the role of artificial intelligence (AI) in transforming educator-student dynamics and enhancing teaching efficacy within Uganda’s newly adopted competency-based curriculum for secondary schools. The curriculum, designed to promote critical thinking, practical skills, and student-centered learning, aligns with Sustainable Development Goal 4 (SDG 4) on Quality Education. However, achieving these objectives presents significant challenges, including limited resources, large class sizes, and insufficient teacher training, especially in rural and under-resourced areas.

Using a qualitative approach, this research incorporates in-depth interviews and case studies to gather insights from educators and students in Ugandan secondary schools that have begun integrating AI technologies. Findings reveal that AI tools, such as adaptive learning platforms and automated assessment systems, contribute to personalized feedback and more targeted instruction. However, teachers report challenges in adapting to AI-enhanced instructional roles and express concerns about limited infrastructure and training, which impact effective AI integration. Additionally, discrepancies in technology access hinder equitable student engagement, especially in rural schools…

Keywords: artificial intelligence, competency-based curriculum, educator-student dynamics, teaching efficacy, quality education

AI’s Role in Transforming Educator-Student Dynamics and Teaching Efficacy in Ugandan Secondary Schools: Advancing Quality Education in the New Competency-Based Curriculum

Saadat Kimuli, Ph.D., Nashua Kimuli Nabaggala, Samuel Walulumba, and Apio Juliet Joy


This study explores the role of artificial intelligence (AI) in transforming educator-student dynamics and enhancing teaching efficacy within Uganda’s newly adopted competency-based curriculum for secondary schools. The curriculum, designed to promote critical thinking, practical skills, and student-centered learning, aligns with Sustainable Development Goal 4 (SDG 4) on Quality Education. However, achieving these objectives presents significant challenges, including limited resources, large class sizes, and insufficient teacher training, especially in rural and under-resourced areas.

Using a qualitative approach, this research incorporates in-depth interviews and case studies to gather insights from educators and students in Ugandan secondary schools that have begun integrating AI technologies. Findings reveal that AI tools, such as adaptive learning platforms and automated assessment systems, contribute to personalized feedback and more targeted instruction. However, teachers report challenges in adapting to AI-enhanced instructional roles and express concerns about limited infrastructure and training, which impact effective AI integration. Additionally, discrepancies in technology access hinder equitable student engagement, especially in rural schools.

The study highlights the dual impact of AI in supporting the competency-based curriculum while also identifying barriers to effective implementation. Recommendations for policymakers and school leaders include enhancing teacher training, improving digital infrastructure, and ensuring equitable access to AI tools. These findings contribute to a deeper understanding of AI’s role in advancing high-quality, inclusive education in resource-constrained settings, offering actionable insights to optimize AI integration for competency-based education in Uganda.


TRACK 4 (ONLINE] - SESSION 4D
Session Chair: TBD
9:15 AM - 10:45 AM


9:15 AM - 9:45 AM

Pause for Impact! Evaluating the Efficacy of Microbreaks on Wellbeing and Productivity in Trust & Safety Content Moderation through a Controlled Study

Bindiya Lakshmi Raghunath, Wipro, Hyderabad, Telangana, India, Aparna Samuel Balasundaram, Wipro, Austin, Texas, USA, and Sunil Varma Mudundi, Wipro, Hyderabad, Telangana, India

Content moderators in the Trust and Safety field work in high-stress environments, moderating user-generated content during their shifts. Their role involves continuous exposure to potentially distressing material, making it essential to adopt innovative approaches to support their well-being and productivity. While existing research underscores the benefits of microbreaks in routine tasks, their role in mitigating stress and improving performance in the unique context of content moderation remains underexplored. Despite efforts to encourage breaks, our survey with more than 3,000 content moderators revealed that 91.68% take only three or fewer breaks per shift, with a mere 38% incorporating short breaks. Hence, there was a need to formally introduce structured breaks into the work shift to harness their benefits and examine their specific impact in the unique context of content moderation…

Keywords: microbreaks, content moderation, wellbeing, productivity, controlled experimental study

Pause for Impact! Evaluating the Efficacy of Microbreaks on Wellbeing and Productivity in Trust & Safety Content Moderation through a Controlled Study

Bindiya Lakshmi Raghunath, Aparna Samuel Balasundaram, and Sunil Varma Mudundi


Content moderators in the Trust and Safety field work in high-stress environments, moderating user-generated content during their shifts. Their role involves continuous exposure to potentially distressing material, making it essential to adopt innovative approaches to support their well-being and productivity. While existing research underscores the benefits of microbreaks in routine tasks, their role in mitigating stress and improving performance in the unique context of content moderation remains underexplored. Despite efforts to encourage breaks, our survey with more than 3,000 content moderators revealed that 91.68% take only three or fewer breaks per shift, with a mere 38% incorporating short breaks. Hence, there was a need to formally introduce structured breaks into the work shift to harness their benefits and examine their specific impact in the unique context of content moderation.

This controlled study with 307 content moderators introduces formal microbreaks as a novel workplace intervention for content moderators, leveraging automated reminders via Microsoft Teams to integrate structured breaks into daily workflows. Participants were divided into three groups with differing microbreak frequencies (every hour, every 1.5 hours, and no scheduled breaks). Outcomes were measured through long-term indicators (stress levels, coping mechanisms) and immediate metrics (mood and task efficiency).

This presentation will share key findings, including the optimal frequency of microbreaks and their transformative effect on well-being and performance. The study demonstrates how structured, automated microbreaks can serve as a scalable, evidence-based strategy to sustain operational effectiveness and emotional resilience in high-stress environments. Future directions include exploring the potential of AI to refine microbreak schedules for individual needs, further enhancing their impact. Attendees will gain actionable insights into designing learning experiences and organizational strategies that incorporate structured microbreaks, fostering resilience and productivity.


9:45 AM - 10:15 AM

The Need for a Paradigm Shift in Engineering Education in View of Available Computation Power

Kanmani Buddhi, Ph.D., BMS College of Engineering, Bengaluru, Karnataka, India

Engineering education can be viewed as the application of fundamental concepts of mathematics, statistics, science and engineering for the benefit of society. The fundamental concepts do not change with time. The distribution of marks secured by students in a class; the height of students in a class; the emoluments earned by the alumni of graduating batch shall always follow the normal distribution with specific mean and standard deviation. The people arriving at a restaurant; the parcels arriving at a post office; the packets arriving at a node in network; always follow the Poisson distribution with interarrival times following the exponential distribution. The frequency components present in a continuous time signal can always be obtained through the Fourier Transform (FT); and this signal can be converted to an equivalent digital signal through the sampling theorem; and its frequency components obtained through the Discrete Fourier Transform (DFT).

The course on engineering mathematics provides the essential mathematical foundation to define and solve engineering problems in various domains; and hence the ability to implement and demonstrate an application of the engineering concept. The course on engineering mathematics also introduces students to numerical techniques for established mathematical operations like integration, differentiation, solving differential equations. Today there is significant development in the computation power; and is available with every student through the electronic device he/she possesses. However, students refer to the Tables at the back of text books to compute the area of Normal curve/ to compute the bit error rate of a digital modulation scheme/ to obtain the coefficients of a digital filters/ to compute telecom traffic using Erlang Table/ to apply the companding law/ and others. There is a need to ensure these back of book Tables vanish; and students develop simple code to compute the desired parameter in view of available computation power…

Keywords: numerical integration, Fourier transform, Gaussian distribution, FIR filter design, engineering concepts

The Need for a Paradigm Shift in Engineering Education in View of Available Computation Power

Kanmani Buddhi, Ph.D.


Engineering education can be viewed as the application of fundamental concepts of mathematics, statistics, science and engineering for the benefit of society. The fundamental concepts do not change with time. The distribution of marks secured by students in a class; the height of students in a class; the emoluments earned by the alumni of graduating batch shall always follow the normal distribution with specific mean and standard deviation. The people arriving at a restaurant; the parcels arriving at a post office; the packets arriving at a node in network; always follow the Poisson distribution with interarrival times following the exponential distribution. The frequency components present in a continuous time signal can always be obtained through the Fourier Transform (FT); and this signal can be converted to an equivalent digital signal through the sampling theorem; and its frequency components obtained through the Discrete Fourier Transform (DFT).

The course on engineering mathematics provides the essential mathematical foundation to define and solve engineering problems in various domains; and hence the ability to implement and demonstrate an application of the engineering concept. The course on engineering mathematics also introduces students to numerical techniques for established mathematical operations like integration, differentiation, solving differential equations. Today there is significant development in the computation power; and is available with every student through the electronic device he/she possesses. However, students refer to the Tables at the back of text books to compute the area of Normal curve/ to compute the bit error rate of a digital modulation scheme/ to obtain the coefficients of a digital filters/ to compute telecom traffic using Erlang Table/ to apply the companding law/ and others. There is a need to ensure these back of book Tables vanish; and students develop simple code to compute the desired parameter in view of available computation power. For example, numerical integration can be used to compute the area of the Gaussian distribution; to evaluate the Fourier transform of any continuous time signal (without moving to the discrete time/frequency domain); to evaluate the product of time-duration and band-width for any signal; to compute the coefficients of a linear phase Finite-Impulse-Response (FIR) filter directly from the frequency response of the analog Butterworth filters.

Hence, there is a need to exploit available computation power and redefine performance metrics for engineering systems. Few of the above examples shall be illustrated through Python using the Google colaboratory. Graduating engineering students usually equipped themselves with text books for engineering concepts. However, today there is a need to ensure every graduating engineer has blocks of code to implement/demonstrate every engineering concept using any open source tool. This becomes possible in view of the power of electronic gadgets available; together with the availability of open source programming tools. This paradigm shift will enable engineers to have a successful professional career.


10:15 AM - 10:45 AM

Addressing Sustainable Development Goals through Engineering Education: An Example

Kanmani Buddhi, Ph.D., BMS College of Engineering, Bengaluru, Karnataka, India

In this work we present an example for addressing the Sustainable Development Goals through Engineering Education. In India, engineering education is governed by guidelines from the AICTE (All India Council for Technical Education), the UGC (University Grants Commission) and the NEP (National Education policy 2020). Engineering Institutions in India are broadly classified as Tier-I (institutions with academic autonomy), and Tier – II (institutions with affiliation to a University). Programs effectively addressing the guidelines together with well-defined pedagogy, assessments to address the attributes of the 21st century are accredited by NBA (National Board of Accreditation). The guidelines provide broad framework for credits to be earned for the award of degree; a suggested framework for credit distribution among various curricular components: Basic Science Courses; Basic Engineering Courses; Program Core Courses; Program Elective Courses; Humanities and Social Sciences; Projects, Internships and Seminars; Ability Enhancement Courses; and mandatory non-credit courses.

In addition to complying with the credit framework; the AICTE has mandated since 2019, the need for every student to earn 100 points through activities during semester breaks. These activities need to be spread across five different heads from the total of 15 typical activities; with each head contributing to a maximum of 20 points; with 80 to 90 hours of cumulative work/association. These domains include: creation of local job opportunities; improve quality of education in village; plan for doubling the income of villagers; developing sustainable water management system; low cost sanitation; promotion of tourism; energy conservation; skill development leading to employment; localized techniques for construction; sustainable growth of villages; support to women leading to addressing social/economic issues; efficient garbage disposal system; skill India/ digital India/Swachh Bharat initiatives…

Keywords: sustainable development goals, signals and systems analog, AICTE activity points

Addressing Sustainable Development Goals through Engineering Education: An Example

Kanmani Buddhi, Ph.D.


In this work we present an example for addressing the Sustainable Development Goals through Engineering Education. In India, engineering education is governed by guidelines from the AICTE (All India Council for Technical Education), the UGC (University Grants Commission) and the NEP (National Education policy 2020. Engineering Institutions in India are broadly classified as Tier-I (institutions with academic autonomy), and Tier – II (institutions with affiliated to a University). Programs effectively addressing the guidelines together with well-defined pedagogy, assessments to address the attributes of the 21st century are accredited by NBA (National Board of Accreditation). The guidelines provide broad framework for credits to be earned for the award of degree; a suggested framework for credit distribution among various curricular components: Basic Science Courses; Basic Engineering Courses; Program Core Courses; Program Elective Courses; Humanities and Social Sciences; Projects, Internships and Seminars; Ability Enhancement Courses; and mandatory non-credit courses.

In addition to complying with the credit framework; the AICTE has mandated since 2019, the need for every student to earn 100 points through activities during semester breaks. These activities need to be spread across five different heads from the total of 15 typical activities; with each head contributing to a maximum of 20 points; with 80 to 90 hours of cumulative work/association. These domains include: creation of local job opportunities; improve quality of education in village; plan for doubling the income of villagers; developing sustainable water management system; low cost sanitation; promotion of tourism; energy conservation; skill development leading to employment; localized techniques for construction; sustainable growth of villages; support to women leading to addressing social/economic issues; efficient garbage disposal system; skill India / digital India / Swachh Bharat initiatives. It is surprising to note that each of these activity heads align directly to one or more SDGs. Every engineering student takes up four to six weeks of social internships during the semester break after the first year. This activity helps address one or more SDGs. Further activities through the engineering program ensure students gain the required knowledge and are sensitized towards the SDGs through carefully designed assessments of courses of the curriculum. In this work, we present an example of the plan of action towards addressing SDGs by the class of students; and an application of the concepts of the course for society to address the SDG; as implemented through a carefully designed assessment task for the III semester course on "Signals and Systems Analog."


10:45 AM - 11:00 AM - BREAK


11:00 AM - 12:00 PM - PARALLEL SESSIONS


TRACK 1 [ONLINE] - SESSION 1E
Session Chair: TBD
11:00 AM - 12:00 PM


11:00 AM - 11:30 AM

AI as a Co-Educator: Crafting the Perfect Balance in Modern Courses

Joseph Evanick, Ed.D., Geisinger College of Health Sciences, Scranton, Pennsylvania, USA

As artificial intelligence reshapes education, educators face a critical challenge: how to meaningfully integrate AI tools while preserving the irreplaceable human elements of teaching and learning. This presentation moves beyond the AI-versus-human narrative to explore practical frameworks for human-AI collaboration across diverse learning environments.

Drawing from current educational research and real-world implementations, we examine how AI can be a co-educator that amplifies rather than replaces instructor expertise. Through practical examples and case studies, participants will discover strategies for leveraging AI in three key areas: personalized learning support, course material development, and student engagement. We'll explore how AI tools can handle routine tasks and provide adaptive feedback, freeing educators to focus on higher-order teaching activities like mentoring, fostering critical thinking, and building meaningful student connections…

Keywords: artificial intelligence, human-AI collaboration, teaching effectiveness

AI as a Co-Educator: Crafting the Perfect Balance in Modern Courses

Joseph Evanick, Ed.D.


As artificial intelligence reshapes education, educators face a critical challenge: how to meaningfully integrate AI tools while preserving the irreplaceable human elements of teaching and learning. This presentation moves beyond the AI-versus-human narrative to explore practical frameworks for human-AI collaboration across diverse learning environments.

Drawing from current educational research and real-world implementations, we examine how AI can be a co-educator that amplifies rather than replaces instructor expertise. Through practical examples and case studies, participants will discover strategies for leveraging AI in three key areas: personalized learning support, course material development, and student engagement. We'll explore how AI tools can handle routine tasks and provide adaptive feedback, freeing educators to focus on higher-order teaching activities like mentoring, fostering critical thinking, and building meaningful student connections.

The session addresses common concerns about AI in education, including academic integrity, over-reliance on technology, and the maintenance of authentic human interaction. Participants will learn concrete approaches for implementing AI tools thoughtfully, ensuring technology serves pedagogical goals while strengthening the essential human elements of education. Special attention will be given to establishing clear boundaries and expectations for AI use, developing AI-inclusive course policies, and creating assignments that capitalize on human and AI capabilities.

Attendees will leave with practical strategies for crafting a balanced approach to AI integration that enhances rather than diminishes their teaching effectiveness, along with actionable guidelines for implementing these tools in their courses.


11:30 AM - 12:00 PM

AI as a Creative Partner in Instructional Design: Strategies for Effective Course Development

Carla Huck, Ed.D., and Anica Cisneroz, Ph.D., American College of Education, Indianapolis, Indiana, USA

As artificial intelligence reshapes higher education, instructional designers encounter new opportunities and challenges in effectively leveraging AI tools. This session explores AI's potential as a creative partner in evidence-based instructional design. Drawing from real-world experience developing courses for our fully online college, we'll present practical strategies for using AI to enhance four critical areas of course development: (1) creating authentic case studies, (2) crafting engaging discussion prompts, (3) formulating multi-level assessments, and (4) ensuring learning objective alignment. Participants will gain insights into specific techniques for using AI to generate realistic and career-relevant scenarios (or learning experiences) that resonate with students, transform mundane discussion questions into catalysts for critical thinking, and design assessments across cognitive complexity levels. We will showcase how we employ AI across programs of study to identify curriculum gaps, propose improvements in objective alignment, and diversify the range of learning activities while preserving pedagogical integrity. Through concrete examples and lessons learned, this session will equip participants with a toolkit of prompts and examples for integrating AI into their instructional design workflow.

Keywords: artificial intelligence, instructional design, curriculum, higher education

AI as a Creative Partner in Instructional Design: Strategies for Effective Course Development

Carla Huck, Ed.D., and Anica Cisneroz, Ph.D.


As artificial intelligence reshapes higher education, instructional designers encounter new opportunities and challenges in effectively leveraging AI tools. This session explores AI's potential as a creative partner in evidence-based instructional design. Drawing from real-world experience developing courses for our fully online college, we'll present practical strategies for using AI to enhance four critical areas of course development: (1) creating authentic case studies, (2) crafting engaging discussion prompts, (3) formulating multi-level assessments, and (4) ensuring learning objective alignment. Participants will gain insights into specific techniques for using AI to generate realistic and career-relevant scenarios (or learning experiences) that resonate with students, transform mundane discussion questions into catalysts for critical thinking, and design assessments across cognitive complexity levels. We will showcase how we employ AI across programs of study to identify curriculum gaps, propose improvements in objective alignment, and diversify the range of learning activities while preserving pedagogical integrity. Through concrete examples and lessons learned, this session will equip participants with a toolkit of prompts and examples for integrating AI into their instructional design workflow.


TRACK 2 [ONLINE] - SESSION 2E
Session Chair: TBD
11:00 AM - 12:00 PM


11:00 AM - 11:30 AM

Decolonizing Cultural Heritage: Virtual Museums and Co-Design with Marginalized Communities in Italy

Luca Contardi, Sapienza University of Rome, Bologna, Emilia Romagna, Italy

Museums play a central role in informal learning and are increasingly reclaiming their social mission (Poce, 2020). In recent years, many institutions worldwide have embraced a paradigm shift inspired by the concept of decoloniality (Mignolo, 2018) and are pioneering practices that promote equity, diversity, and inclusion. A key driver of this transformation has been the adoption of co-design practices within the framework of the participatory museum (Simon, 2010).

According to the Museums Association's ‘Decolonising Principles’, effective decolonisation involves challenging neutrality, acknowledging power and privilege, building meaningful relationships, and valuing diverse knowledge systems. As Simona Bodo (2012) highlights, museums can achieve this by engaging communities in creating new narratives through storytelling, theatre, and other interpretative methodologies. These approaches recognize participants' unique contributions to understanding and reinterpreting museum collections…

Keywords: decolonization, participatory museum, virtual heritage, co-design, social inclusion

Decolonizing Cultural Heritage: Virtual Museums and Co-Design with Marginalized Communities in Italy

Luca Contardi


Museums play a central role in informal learning and are increasingly reclaiming their social mission (Poce, 2020). In recent years, many institutions worldwide have embraced a paradigm shift inspired by the concept of decoloniality (Mignolo, 2018) and are pioneering practices that promote equity, diversity, and inclusion. A key driver of this transformation has been the adoption of co-design practices within the framework of the participatory museum (Simon, 2010).

According to the Museums Association's ‘Decolonising Principles’, effective decolonisation involves challenging neutrality, acknowledging power and privilege, building meaningful relationships, and valuing diverse knowledge systems. As Simona Bodo (2012) highlights, museums can achieve this by engaging communities in creating new narratives through storytelling, theatre, and other interpretative methodologies. These approaches recognize participants' unique contributions to understanding and reinterpreting museum collections.

Digital and virtual spaces expand these possibilities, especially when physical access to collections is limited due to logistical or socio-cultural barriers. This contribution explores the development of a virtual museum featuring 3D objects and narratives co-created with migrant-background communities in Italy. It examines the methodologies employed, the challenges faced, and the processes of defining, selecting, and creating content within a decolonial framework.

The project also evaluates the impact of these activities on participants' social inclusion and well-being, offering valuable insights into the replicability of such initiatives. It serves as a model for fostering heritage decolonisation and engaging marginalized communities through co-design processes, thereby contributing to the creation of more inclusive and equitable cultural institutions.


11:30 AM - 12:00 PM

Preparing Ugandan University Students for the AI-Driven Gig Economy: Advancing Decent Work for All through Education

Saadat lubowa Kimuli Nakyejwe, Ph.D., Sarah Nassali, Nashua Kimuli Nabaggala, and Ibtihal K Nabayego, Makerere University Business School, Kampala, Uganda

The gig economy, characterized by short-term, flexible, and task-based employment facilitated through digital platforms, is reshaping the labor market globally. In Uganda, university students face significant challenges in aligning their education with the skills needed to thrive in this evolving employment landscape. This study focuses on achieving "Decent Work for All," a key target of SDG 8, by examining how universities in Uganda—Makerere University Business School, Makerere University, Kampala University, Kampala International University, and Kyambogo University—prepare students for meaningful and equitable participation in the gig economy.

The research adopts a qualitative approach, using interviews with students and university staff to explore the alignment of curricula and teaching practices with the skills required for the gig economy. The study also highlights the role of emerging technologies, including artificial intelligence (AI), in shaping the gig economy landscape. Interviews with academic staff reveal that while universities recognize the growing importance of the gig economy, they often struggle with integrating practical, technology-driven skills such as AI proficiency, digital literacy, and entrepreneurship into their curricula due to resource constraints and a lack of industry collaboration…

Keywords: gig economy, artificial intelligence in education, university curriculum development, skills for future work, decent work for all

Preparing Ugandan University Students for the AI-Driven Gig Economy: Advancing Decent Work for All through Education

Saadat lubowa Kimuli Nakyejwe, Ph.D., Sarah Nassali, Nashua Kimuli Nabaggala, and Ibtihal K Nabayego


The gig economy, characterized by short-term, flexible, and task-based employment facilitated through digital platforms, is reshaping the labor market globally. In Uganda, university students face significant challenges in aligning their education with the skills needed to thrive in this evolving employment landscape. This study focuses on achieving "Decent Work for All," a key target of SDG 8, by examining how universities in Uganda—Makerere University Business School, Makerere University, Kampala University, Kampala International University, and Kyambogo University—prepare students for meaningful and equitable participation in the gig economy.

The research adopts a qualitative approach, using interviews with students and university staff to explore the alignment of curricula and teaching practices with the skills required for the gig economy. The study also highlights the role of emerging technologies, including artificial intelligence (AI), in shaping the gig economy landscape. Interviews with academic staff reveal that while universities recognize the growing importance of the gig economy, they often struggle with integrating practical, technology-driven skills such as AI proficiency, digital literacy, and entrepreneurship into their curricula due to resource constraints and a lack of industry collaboration.

Findings from staff also indicate a pressing need for universities to adapt teaching strategies to foster self-directed learning, project management, and critical thinking, which are essential for success in the gig economy. Both students and staff emphasize the lack of exposure to real-world applications, such as ethical AI usage and platform-based gig work, as a barrier to preparing students effectively for the gig economy.

The study recommends integrating AI-focused training into university curricula, fostering partnerships between academia and industry, and implementing mentorship programs to equip students with the necessary skills for flexible and dignified employment. These interventions aim to bridge the identified gaps, ensuring students are prepared to achieve "Decent Work for All" in the gig economy, while advancing the broader objectives of SDG 8.


TRACK 3 [ONLINE] - SESSION 3E
Session Chair: TBD
11:00 AM - 12:00 PM


11:00 AM - 11:30 AM

Online Simulations in the Service of Death Education in Higher Education

Rivi Frei-Landau, Ph.D., Achva Academic College, Yinon, Israel

In recent decades, there has been increased advocacy of death education and grief literacy, which refers to the ability to understand grief and loss in order to act competently when supporting grieving individuals (Breen et al., 2022). This is particularly important in the context of pediatric grief as childhood bereavement can profoundly affect child development, yet children may receive insufficient support post-loss (Frei-Landau, 2023). Similarly, in the last decade, simulation-based learning has been extensively integrated into higher education (Dotger & Chandler-Olcott, 2022) and during the COVID-19 pandemic it was modified to the online platform (Frei-Landau et al., 2022). Although digitalization was previously explored in the context of death education (Sofka & Gilbert, 2012), the benefits of using online simulations to facilitate death education related to pediatric grief have yet to be examined.

The current study explored the integration of simulation-based death education, related to childhood bereavement, in an undergraduate online course, to gain insight into the learning outcomes alongside the role of the online platform. Employing a qualitative case study design, 37 students participated in an online simulation workshop related to pediatric grief. Data collection included open-ended reflections, a focus group, and semi-structured interviews, all of which were analyzed using thematic analysis. Findings revealed four themes denoting the learning outcomes. In addition, the analysis indicated the ways in which the online format facilitated these learning outcomes. The study provides theoretical insights into the role of simulation-based death education in the service of grief literacy alongside practical implications to promote best practices when supporting grieving children.

Keywords: simulation-based learning, online learning, death education, childhood bereavement, qualitative study

Online Simulations in the Service of Death Education in Higher Education

Rivi Frei-Landau, Ph.D.


In recent decades, there has been increased advocacy of death education and grief literacy, which refers to the ability to understand grief and loss in order to act competently when supporting grieving individuals (Breen et al., 2022). This is particularly important in the context of pediatric grief as childhood bereavement can profoundly affect child development, yet children may receive insufficient support post-loss (Frei-Landau, 2023). Similarly, in the last decade, simulation-based learning has been extensively integrated into higher education (Dotger & Chandler-Olcott, 2022) and during the COVID-19 pandemic it was modified to the online platform (Frei-Landau et al., 2022). Although digitalization was previously explored in the context of death education (Sofka & Gilbert, 2012), the benefits of using online simulations to facilitate death education related to pediatric grief have yet to be examined.

The current study explored the integration of simulation-based death education, related to childhood bereavement, in an undergraduate online course, to gain insight into the learning outcomes alongside the role of the online platform. Employing a qualitative case study design, 37 students participated in an online simulation workshop related to pediatric grief. Data collection included open-ended reflections, a focus group, and semi-structured interviews, all of which were analyzed using thematic analysis. Findings revealed four themes denoting the learning outcomes. In addition, the analysis indicated the ways in which the online format facilitated these learning outcomes. The study provides theoretical insights into the role of simulation-based death education in the service of grief literacy alongside practical implications to promote best practices when supporting grieving children.


11:30 AM - 12:00 PM

Talking with the Expert: An Intelligent Avatar Performing with Emotional and Social Intelligence

Fernando Salvetti, Ph.D., Logosnet LLC, Houston, Texas, USA

At the e-REAL labs, we are transforming digital interaction and expertise-sharing with Mia Williams, an agentic application designed to perform as an expert across diverse programmed topics. Powered by Retrieval-Augmented Generation (RAG) and advanced AI technologies, Mia combines human-like emotional intelligence, dynamic multimedia capabilities, and expert knowledge-sharing to provide a cooperative and engaging experience.

Mia’s revolutionary design enables her to observe and interact with her interlocutors in a highly realistic manner. She follows users with her gaze using microphone arrays and webcam-based computer vision, creating an immersive and personalized connection. Her realistic non-verbal cues—including facial expressions, gestures, and gaze alignment—make her emotionally and socially intelligent, enhancing the user experience through meaningful, human-like interactions.

Thanks to an intuitive editor, Mia’s knowledge base can be updated in minutes, allowing her to adapt effortlessly to new topics and scenarios. Whether explaining complex subjects, sketching diagrams, or presenting videos and images, she provides an interactive, multimedia-rich environment tailored to user needs…

Keywords: agentic application, emotional intelligence, retrieval-augmented generation (RAG), human-centric interaction, multimedia capabilities

Talking with the Expert: An Intelligent Avatar Performing with Emotional and Social Intelligence

Fernando Salvetti, Ph.D.


At the e-REAL labs, we are transforming digital interaction and expertise-sharing with Mia Williams, an agentic application designed to perform as an expert across diverse programmed topics. Powered by Retrieval-Augmented Generation (RAG) and advanced AI technologies, Mia combines human-like emotional intelligence, dynamic multimedia capabilities, and expert knowledge-sharing to provide a cooperative and engaging experience.

Mia’s revolutionary design enables her to observe and interact with her interlocutors in a highly realistic manner. She follows users with her gaze using microphone arrays and webcam-based computer vision, creating an immersive and personalized connection. Her realistic non-verbal cues—including facial expressions, gestures, and gaze alignment—make her emotionally and socially intelligent, enhancing the user experience through meaningful, human-like interactions.

Thanks to an intuitive editor, Mia’s knowledge base can be updated in minutes, allowing her to adapt effortlessly to new topics and scenarios. Whether explaining complex subjects, sketching diagrams, or presenting videos and images, she provides an interactive, multimedia-rich environment tailored to user needs.

Mia’s technical foundation integrates sentiment analysis and context-aware interactions, enabling her to deliver precise, real-time feedback and personalized advice. This transformative combination of expertise, multimedia, and emotional intelligence makes her an ideal agent for education, professional training, and customer engagement.

Mia Williams represents an innovative agentic application, bridging the gap between advanced AI and human-centric interaction. Her adaptability, emotional intelligence, and multimedia capabilities redefine the possibilities for digital experts, making her a powerful companion for knowledge-sharing, collaboration, and problem-solving.


TRACK 4 [ONLINE] - SESSION 4E
Session Chair: TBD
11:00 AM - 12:00 PM


11:00 AM - 12:00 PM

Faculty Insights on Utilizing Generative AI in Professional Programs

Negar Farakish, Ed.D., Kristine Rodriguez Kerr, Ed.D., and Hui Soo Chae, Ed.D., NYU School of Professional Studies, New York, New York, USA

This study explores the adoption rates and generative AI tool use among undergraduate and graduate faculty across various disciplines. Based on survey data from faculty at NYU School of Professional Studies, this study illuminates generative AI adoption patterns and provides critical insights on actual experiences of these tools by this group. The core of this analysis pulls from quantifying the percentage of faculty who are (or are not) actively using these technologies across academic, personal, and professional spaces. We believe this information is crucial for devising effective pedagogical strategies that leverage AI capabilities to maximize engagement and learning efficiency. That is, we wanted to know faculty members' (1) self-reported level of AI adoption, (2) perceptions of these tools, and (3) perceived benefits, challenges, and concerns about using generative AI tools. Additionally, the findings enrich theoretical discussions about generative AI technology adoption in education and contribute substantially to the evolving discourse on the role of these tools in education, informing theoretical, practical, and policy advancements in this evolving area.

Keywords: generative AI, AI faculty use, AI engagement, AI adoption

Faculty Insights on Utilizing Generative AI in Professional Programs

Negar Farakish, Ed.D., Kristine Rodriguez Kerr, Ed.D., and Hui Soo Chae, Ed.D.


This study explores the adoption rates and generative AI tool use among undergraduate and graduate faculty across various disciplines. Based on survey data from faculty at NYU School of Professional Studies, this study illuminates generative AI adoption patterns and provides critical insights on actual experiences of these tools by this group. The core of this analysis pulls from quantifying the percentage of faculty who are (or are not) actively using these technologies across academic, personal, and professional spaces. We believe this information is crucial for devising effective pedagogical strategies that leverage AI capabilities to maximize engagement and learning efficiency. That is, we wanted to know faculty members' (1) self-reported level of AI adoption, (2) perceptions of these tools, and (3) perceived benefits, challenges, and concerns about using generative AI tools. Additionally, the findings enrich theoretical discussions about generative AI technology adoption in education and contribute substantially to the evolving discourse on the role of these tools in education, informing theoretical, practical, and policy advancements in this evolving area.


12:00 PM - 1:00 PM - BREAK


3:45 PM - 5:15 PM - PARALLEL SESSIONS


 

TRACK 1 [ONLINE] - SESSION 1F
Session Chair: TBD
1:00 PM - 2:30 PM


1:00 PM - 2:00 PM

Transformative Learning in the Age of Generative AI: Educators' Perspectives on a Paradigm Shift

Mara Alagic, Ph.D., and Jaehwan Byun, Ph.D., Wichita State University, Wichita, Kansas, USA

This study investigated the multifaceted disruption and transformative potential of Generative Artificial Intelligence (GenAI) in reshaping teaching and learning paradigms. Grounded in transformative learning theory, it examined two key dimensions: (a) Educators' Engagement: The adoption and adaptation of GenAI by educators, and (b) Paradigm Shifts: The potential shifts in educational practices, as reflected in participants' experiences with GenAI implementation.

The analysis of participants' perspectives on GenAI prevalence in the context of transformative learning revealed several themes. The most prominent theme, Critical Reflection, indicated that participants are actively evaluating the potential impact of GenAI on their teaching practices and student learning. The study highlighted the importance of considering diverse perspectives to develop effective strategies for integrating GenAI and explicated the need for further research to understand how to implement it meaningfully in educational settings…

Keywords: generative AI (Gen AI), transformative learning, paradigm shift, disruption, education

Transformative Learning in the Age of Generative AI: Educators' Perspectives on a Paradigm Shift

Mara Alagic, Ph.D., and Jaehwan Byun, Ph.D.


This study investigated the multifaceted disruption and transformative potential of Generative Artificial Intelligence (GenAI) in reshaping teaching and learning paradigms. Grounded in transformative learning theory, it examined two key dimensions: (a) Educators' Engagement: The adoption and adaptation of GenAI by educators, and (b) Paradigm Shifts: The potential shifts in educational practices, as reflected in participants' experiences with GenAI implementation.

The analysis of participants' perspectives on GenAI prevalence in the context of transformative learning revealed several themes. The most prominent theme, Critical Reflection, indicated that participants are actively evaluating the potential impact of GenAI on their teaching practices and student learning. The study highlighted the importance of considering diverse perspectives to develop effective strategies for integrating GenAI and explicated the need for further research to understand how to implement it meaningfully in educational settings.

Participants highlighted several challenges associated with using GenAI. For example, they identified GenAI's ability to provide personalized learning experiences as a significant disruption. Other concerns include the potential for GenAI to undermine academic integrity, as using GenAI tools raises questions about the authenticity of student work. Additionally, there are ethical implications, such as bias, privacy, and the potential for Gen AI to perpetuate existing inequalities.

Despite these concerns, many participants recognize the potential benefits of GenAI. They advocate for its integration into the curriculum, emphasizing the need for digital literacy and critical thinking skills to navigate a GenAI-enhanced educational landscape. The consensus among participants is that while GenAI presents significant opportunities, it also necessitates re-evaluating pedagogical strategies and ethical standards.

This study will advance our understanding of GenAI's effects on teaching, learning, and education in general by extending transformative learning theory to explore how technological disruption transforms the educational paradigm.


2:00 PM - 2:30 PM

Transforming Education: Harnessing Generative AI to Empower Students with Disabilities

Alyse Jordan, Ed.D., Indiana State University, Terre Haute, Indiana, USA

In an increasingly digital world, the integration of generative AI technologies in education presents a transformative opportunity, particularly for students with disabilities. This presentation explores the potential of tools like Otter.ai and similar generative AI applications to create inclusive learning environments that cater to diverse needs. Generative AI can facilitate personalized learning experiences by adapting educational content to match the unique abilities and preferences of each student, ensuring that all learners have equitable access to knowledge.

The primary outcome of this presentation is to equip educators, administrators, and policymakers with a comprehensive understanding of how generative AI technologies, such as Otter.ai and similar applications, can be effectively integrated into educational settings to support students with disabilities…

Keywords: students with disabilities, student retention, student support

Transforming Education: Harnessing Generative AI to Empower Students with Disabilities

Alyse Jordan, Ed.D.


In an increasingly digital world, the integration of generative AI technologies in education presents a transformative opportunity, particularly for students with disabilities. This presentation explores the potential of tools like Otter.ai and similar generative AI applications to create inclusive learning environments that cater to diverse needs. Generative AI can facilitate personalized learning experiences by adapting educational content to match the unique abilities and preferences of each student, ensuring that all learners have equitable access to knowledge.

The primary outcome of this presentation is to equip educators, administrators, and policymakers with a comprehensive understanding of how generative AI technologies, such as Otter.ai and similar applications, can be effectively integrated into educational settings to support students with disabilities.

The presentation will also highlight various generative AI applications that can support students with disabilities, such as personalized learning assistants that provide tailored feedback and resources. By harnessing these technologies, educators can create more engaging and supportive learning environments that empower students to reach their full potential.

Ultimately, this discussion will emphasize the need for ongoing collaboration between educators, technologists, and policymakers to ensure that generative AI tools are implemented thoughtfully and inclusively. By embracing these innovations, we can significantly enhance educational success and foster a more inclusive society for students with disabilities.


TRACK 2 [ONLINE] - SESSION 2F
Session Chair: TBD
1:00 PM - 2:30 PM


1:00 PM - 1:30 PM

AI Academic Policies: Establishing Ethical, Transparent, and Equitable Use in Higher Education

Humberto Hernandez, Ed.D., and Susan Arnold, D'Youville University, Buffalo, New York, USA

As Artificial Intelligence (AI) becomes increasingly integrated into academic environments, it is critical to establish comprehensive guidelines that ensure ethical, transparent, and equitable usage. This session will present the development and key principles of D’Youville University's AI Academic Guidelines, designed to uphold faculty autonomy, protect intellectual property, and align with higher education standards.

The presentation will explore the foundational principles of these guidelines, including fairness, accountability, reliability, and innovation. It will also delve into the roles and responsibilities of faculty, students, and the university in fostering responsible AI usage while safeguarding privacy and security…

Keywords: AI ethics in academia, faculty autonomy, AI policy development, educational innovation, responsible AI integration

AI Academic Policies: Establishing Ethical, Transparent, and Equitable Use in Higher Education

Humberto Hernandez, Ed.D., and Susan Arnold


As Artificial Intelligence (AI) becomes increasingly integrated into academic environments, it is critical to establish comprehensive guidelines that ensure ethical, transparent, and equitable usage. This session will present the development and key principles of D’Youville University's AI Academic Guidelines, designed to uphold faculty autonomy, protect intellectual property, and align with higher education standards.

The presentation will explore the foundational principles of these guidelines, including fairness, accountability, reliability, and innovation. It will also delve into the roles and responsibilities of faculty, students, and the university in fostering responsible AI usage while safeguarding privacy and security.

Attendees will gain insights into the processes of creating and implementing these policies, strategies for maintaining clarity and flexibility, and methods for fostering dialogue among stakeholders. By prioritizing human oversight and critical thinking, the guidelines aim to empower academic communities to innovate responsibly while maintaining educational integrity.


1:30 PM - 2:30 PM

Redesigning Learning Activities in the AI Age

Kristine Rodriguez Kerr, Ed.D., Negar Farakish, Ed.D., and Hui Soo Chae, Ed.D., NYU School of Professional Studies, New York, New York, USA

Evidence-based uses of generative AI in course activities, assignments, and assessments are central to the development of student-centered, inclusive educational practices. During this demonstration, we discuss the transformative potential of generative AI to advance critical thinking, creativity, and academic writing with examples from two undergraduate and two graduate courses. We outline the purposeful integration of tools such as Microsoft Copilot, Open AI ChatGPT, Google Gemini, and HeyGen, showcasing how they can facilitate student learning while maintaining academic integrity and student voice. In this demonstration, we share four examples of faculty-led redesigned assignments that thoughtfully integrated generative AI to serve as models with significant potential to enhance student learning. By (re)designing courses to incorporate AI tools, faculty simultaneously deepen student knowledge and provide students opportunities for hands-on experience with emerging technologies that will enable them to contribute to a rapidly evolving economy.

Keywords: generative AI, AI-enhanced assignments, faculty-led curriculum development

Redesigning Learning Activities in the AI Age

Kristine Rodriguez Kerr, Ed.D., Negar Farakish, Ed.D., and Hui Soo Chae, Ed.D.


Evidence-based uses of generative AI in course activities, assignments, and assessments are central to the development of student-centered, inclusive educational practices. During this demonstration, we discuss the transformative potential of generative AI to advance critical thinking, creativity, and academic writing with examples from two undergraduate and two graduate courses. We outline the purposeful integration of tools such as Microsoft Copilot, Open AI ChatGPT, Google Gemini, and HeyGen, showcasing how they can facilitate student learning while maintaining academic integrity and student voice. In this demonstration, we share four examples of faculty-led redesigned assignments that thoughtfully integrated generative AI to serve as models with significant potential to enhance student learning. By (re)designing courses to incorporate AI tools, faculty simultaneously deepen student knowledge and provide students opportunities for hands-on experience with emerging technologies that will enable them to contribute to a rapidly evolving economy.


TRACK 3 [ONLINE] - SESSION 3F
Session Chair: TBD
1:00 PM - 2:30 PM


1:00 PM - 1:30 PM

Leveraging Generative AI as a Secondary Research and Thought Partner: Lessons and Ethical Considerations in a Qualitative Instrumental Case Study Dissertation

Pamela McCray, Ph.D., and Norman S. St. Clair, Ph.D., The University of the Incarnate Word, San Antonio, Texas, USA

This position paper explores our experiences as a doctoral candidate and dissertation Chair leveraging and integrating Generative Artificial Intelligence (GenAI) as secondary research and thought partner in a qualitative instrumental case study dissertation. The purpose of our paper is to share lessons learned and provide strategies, insights, and ethical considerations for researchers in academia and the social sciences seeking to responsibly incorporate GenAI into their work. We developed protocols to ensure the doctoral candidate maintained their role as the primary research instrument, content producer, and analyst while leveraging GenAI as a supportive tool. GenAI assisted with data organization, theme identification, and iterative coding, enhancing efficiency while preserving the researcher’s critical role in analysis and interpretation.

Using domain-specific prompts and structured workflows, we found GenAI could complement traditional research methods by streamlining synthesis and coding processes, validating themes, and deepening insights without compromising rigor or integrity. Through this process, we balanced the capabilities of GenAI by emphasizing and prioritizing researcher judgment, ensuring ethical standards, methodological accuracy, and accountability were upheld. This paper highlights actionable lessons and methodologies for integrating GenAI into academic research, emphasizing transparency and the researcher’s primary role in the research process…

Keywords: generative artificial intelligence (GenAI), instrumental case study dissertation, ethical considerations, GenAI-assisted research

Leveraging Generative AI as a Secondary Research and Thought Partner: Lessons and Ethical Considerations in a Qualitative Instrumental Case Study Dissertation

Pamela McCray, Ph.D., and Norman S. St. Clair, Ph.D.


This position paper explores our experiences as a doctoral candidate and dissertation Chair leveraging and integrating Generative Artificial Intelligence (GenAI) as secondary research and thought partner in a qualitative instrumental case study dissertation. The purpose of our paper is to share lessons learned and provide strategies, insights, and ethical considerations for researchers in academia and the social sciences seeking to responsibly incorporate GenAI into their work. We developed protocols to ensure the doctoral candidate maintained their role as the primary research instrument, content producer, and analyst while leveraging GenAI as a supportive tool. GenAI assisted with data organization, theme identification, and iterative coding, enhancing efficiency while preserving the researcher’s critical role in analysis and interpretation.

Using domain-specific prompts and structured workflows, we found GenAI could complement traditional research methods by streamlining synthesis and coding processes, validating themes, and deepening insights without compromising rigor or integrity. Through this process, we balanced the capabilities of GenAI by emphasizing and prioritizing researcher judgment, ensuring ethical standards, methodological accuracy, and accountability were upheld. This paper highlights actionable lessons and methodologies for integrating GenAI into academic research, emphasizing transparency and the researcher’s primary role in the research process. Our findings demonstrate GenAI’s potential to refine methodologies, enhance research productivity, and foster innovation in qualitative inquiry. We advocate for expanded exploration of GenAI’s role in academic and social science research, particularly its ability to support established methodologies while safeguarding the unique contributions of human expertise. This paper serves as a practical resource for researchers navigating the evolving landscape of AI-assisted research, offering a framework for using GenAI effectively and ethically in diverse contexts without compromising the integrity of the research process.


1:30 PM - 2:00 PM

Communication and Presentation Skills (CaPS!) Project: A Scalable Approach to Enhancing Presentation Skills

Maaike Bouwmeester, Ph.D., New York University, Brooklyn, New York, USA and Elaine Li, Columbia University, New York, New York, USA

The Communication and Presentation Skills Project (CaPS!) enhances the presentation skills of graduate students and professionals through a structured, mastery-based program. By combining AI-driven feedback, peer feedback, and scaffolded practice, CaPS! integrates seamlessly into coursework and professional development efforts, helping participants improve delivery, organization, and visual design skills while allowing instructors to focus on their course's core learning objectives. This presentation will showcase the CaPS! approach, learning modules, and outcomes, providing a scalable and replicable model for skill development in higher education and professional settings.

Keywords: presentation skill development, AI-enhanced learning, performance assessment, mastery-based learning, deliberate practice

Communication and Presentation Skills (CaPS!) Project: A Scalable Approach to Enhancing Presentation Skills

Maaike Bouwmeester, Ph.D., and Elaine Li


The Communication and Presentation Skills Project (CaPS!) enhances the presentation skills of graduate students and professionals through a structured, mastery-based program. By combining AI-driven feedback, peer feedback, and scaffolded practice, CaPS! integrates seamlessly into coursework and professional development efforts, helping participants improve delivery, organization, and visual design skills while allowing instructors to focus on their course's core learning objectives. This presentation will showcase the CaPS! approach, learning modules, and outcomes, providing a scalable and replicable model for skill development in higher education and professional settings.


2:00 PM - 2:30 PM

“Writing is not a frill for the few, but an essential skill for the many”-- A Must-Have Skill!

Alicia Aiken, Ed.D., Petrojma Limited, Kingston, Jamaica

“Writing today is not a frill for the few, but an essential skill for the many.” According to The National Commission on Writing (2003). Since writing is so essential, it is imperative that all university stakeholders employ an inclusive approach to academic writing to minimize students’ deficiencies in writing. Therefore, since writing is considered as the most essential skill needed for all core academic courses, collaboration is needed among all faculties and not just among language and literacy instructors and practitioners. The university and in particular, the language and linguistic division should consider investing in the most current technological infrastructure to aid in the development of students’ language competency. One example is AI (Artificial Intelligence), such as ChatGPT; however, these new technologies must be rooted in alterability, critical thinking, and referencing. There is also a need for a virtual writing centers or language labs to be developed…

Keywords: pointed, needed skill, new trends, AI

“Writing is not a frill for the few, but an essential skill for the many”-- A Must-Have Skill!

Alicia Aiken, Ed.D.


“Writing today is not a frill for the few, but an essential skill for the many,” according to The National Commission on Writing (2003). Since writing is so essential, it is imperative for that university stakeholders employ an inclusive approach to academic writing to minimize students’ deficiencies in writing. Therefore, since writing is considered as the most essential skill needed for all core academic courses, collaboration is needed among all faculties and not just among language and literacy instructors and practitioners. The university, and in particular, the language and linguistic division, should consider investing in the most current technological infrastructure to aid in the development of students’ language competency. One example is AI (Artificial Intelligence), such as ChatGPT; however, these new technologies must be rooted in alterability, critical thinking, and referencing. There is also a need for a virtual writing centers or language labs to be developed. These virtual writing spaces would provide additional exposure and practice for students to assist in the development of their language skills. One lecturer recommends edutainment to package AI content in such a way that it is appealing to the students. Furthermore, incorporating the Jamaican Patois (Mother tongue) to give instructions would aid in interpretation throughout the writing process, especially in instances when written feedback can be misleading.


TRACK 4 [ONLINE] - SESSION 4F
Session Chair: TBD
1:00 PM - 2:30 PM


1:00 PM - 1:30 PM

How Technology-Supported Museum Activities Can Effectively Promote Language Learning

Maria Tolaini, Università degli Studi di Genova, Genova, Italy

Multilingual competence is recognized as essential for active participation in society making it crucial for all individuals, regardless of socio-economic status or disabilities, to have equal opportunities to develop this skill. This is especially important for high school seniors, as proficiency in multiple languages can improve their academic and career prospects. In Italy, however, only 34% of respondents in a European survey report being able to converse in English. To address this, the European Commission suggests exploring informal learning settings like museums and integrating digital technologies into education. In line with these recommendations, this paper presents preliminary findings from an ongoing doctoral project that investigates how technology-supported museum activities can effectively promote language learning. The study involved 131 Italian high school students, aged 17, with English levels ranging from A2 to B2 over 26 weeks. The students were divided into four groups: a control group and three experimental sub-groups. One group used digital tools, such as customizable interactive digital resources, in school workshops. Another participated in museum visits and workshops, while the third group followed a similar path but used educational technologies, like QR codes, augmented reality, and a real-time collaborative platform during museum visits…

Keywords: museum education, language learning, educational technologies

How Technology-Supported Museum Activities Can Effectively Promote Language Learning

Maria Tolaini


Multilingual competence is recognized as essential for active participation in society making it crucial for all individuals, regardless of socio-economic status or disabilities, to have equal opportunities to develop this skill. This is especially important for high school seniors, as proficiency in multiple languages can improve their academic and career prospects. In Italy, however, only 34% of respondents in a European survey report being able to converse in English. To address this, the European Commission suggests exploring informal learning settings like museums and integrating digital technologies into education. In line with these recommendations, this paper presents preliminary findings from an ongoing doctoral project that investigates how technology-supported museum activities can effectively promote language learning. The study involved 131 Italian high school students, aged 17, with English levels ranging from A2 to B2 over 26 weeks. The students were divided into four groups: a control group and three experimental sub-groups. One group used digital tools, such as customizable interactive digital resources, in school workshops. Another participated in museum visits and workshops, while the third group followed a similar path but used educational technologies, like QR codes, augmented reality, and a real-time collaborative platform during museum visits. To assess the effectiveness of these paths, pre- and post-tests and questionnaires were used. This paper focuses on the preliminary findings from the teacher questionnaire. The thematic analysis of responses revealed that teachers generally found the approach beneficial, noting that students expanded their vocabulary, engaged actively, and benefited from learning in diverse settings and from using educational technologies. However, challenges included potential distractions and the sessions’ length. The analysis of these data provides an initial evaluation of the experience from the teachers' perspective, which will then be integrated and correlated with the analysis of additional results gathered from the other tools.


1:30 PM - 2:00 PM

Using OpenAI GPTs and Google NotebookLM to Enhance Learner Experience

Jose Mendoza, DBA, and Hui Soo Chae, Ed.D., New York University's School of Professional Studies, New York, New York, USA

In this paper, we discuss the development of an OpenAI GPT in a graduate Marketing course and the implementation of Google NotebookLM in an undergraduate Internship course. Specifically, we describe how the purposive integration of these applications impacted the design of course activities, assignments, and assessments. We also highlight research on technology-mediated learning and educational theories such as social constructivism that informed our optimization of these technologies to support personalized and self-directed learning. Lastly, we theorize the impact of these generative AI tools on student interactions with instructors and peers, student engagement with course resources, and student motivation and metacognition.

The GPT was created as a course assistant, providing 24/7 support to graduate students in a Business Analytics and Data Visualization course at the NYU School of Professional Studies. By uploading the syllabus, assignments, projects, and rubrics to the GPT, students were able to receive relevant guidance on demand as they navigated the class. Students reported that the GPT effectively responded to various prompts, from broad logistical questions to assignment-specific inquiries. The use of the GPT in the course also enabled students and the instructor to focus on applying knowledge and research to real-world contexts…

Keywords: large language models, higher education technology, adaptive learning, custom GPT, NotebookLM

Using OpenAI GPTs and Google NotebookLM to Enhance Learner Experience

Jose Mendoza, DBA, and Hui Soo Chae, Ed.D.


In this paper, we discuss the development of an OpenAI GPT in a graduate Marketing course and the implementation of Google NotebookLM in an undergraduate Internship course. Specifically, we describe how the purposive integration of these applications impacted the design of course activities, assignments, and assessments. We also highlight research on technology-mediated learning and educational theories such as social constructivism that informed our optimization of these technologies to support personalized and self-directed learning. Lastly, we theorize the impact of these generative AI tools on student interactions with instructors and peers, student engagement with course resources, and student motivation and metacognition.

The GPT was created as a course assistant, providing 24/7 support to graduate students in a Business Analytics and Data Visualization course at the NYU School of Professional Studies. By uploading the syllabus, assignments, projects, and rubrics to the GPT, students were able to receive relevant guidance on demand as they navigated the class. Students reported that the GPT effectively responded to various prompts, from broad logistical questions to assignment-specific inquiries. The use of the GPT in the course also enabled students and the instructor to focus on applying knowledge and research to real-world contexts.

The instructor of the undergraduate internship course utilized NotebookLM to facilitate a deeper student understanding of course resources. By creating “notebooks” that contained resources such as readings, websites, and video transcripts, the instructor was able to create a new type of “interaction” between students and course materials. In addition to using the tool to generate summaries, study guides, and frequently asked questions, students were able to “discuss” the course materials with NotebookLM.

Our experiences incorporating generative AI provide insight into how faculty create a more responsive learning environment and better prepare students for the workplace of the future.


2:00 PM - 2:30 PM

Improving STEM Education for Hispanic Students: A Case Study at Our Lady of the Lake University

Stacy Ybarra Evans, Ed.D., and Steven Linely, Ph.D., Our Lady of the Lake University, San Antonio, Texas, USA

This presentation will explore the challenges and successes of Our Lady of the Lake University's (OLLU) initiative to improve STEM education for Hispanic students. Funded by a Title V Developing Hispanic-Serving Institution (DHSI) grant, the program focuses on redesigning core STEM courses and expanding academic support resources.

Keywords: Hispanic-Serving Institutions (HSIs), STEM education, UDL, experiential learning, Title V grant

Improving STEM Education for Hispanic Students: A Case Study at Our Lady of the Lake University

Stacy Ybarra Evans, Ed.D., and Steven Linely, Ph.D.


This presentation will explore the challenges and successes of Our Lady of the Lake University's (OLLU) initiative to improve STEM education for Hispanic students. Funded by a Title V Developing Hispanic-Serving Institution (DHSI) grant, the program focuses on redesigning core STEM courses and expanding academic support resources.


2:30 - 3:30 PM - NETWORKING SESSION


3:30 PM - END OF ONLINE-ONLY CONFERENCE DAY