10.30am

Empowering Education: Unleashing the Potential of Generative AI in Teaching and
Learning

Moderator: Danielle S. McNamara, Executive Director, Learning Engineering Institute, ASU

Panelists:
Elizabeth Reilley, Executive Director, AI Acceleration, Enterprise Technology, ASU
Janel White-Taylor, Clinical Professor, Mary Lou Fulton Teachers College, ASU
Kyle Jensen, Professor, Director of Writing Programs, ASU
Kristin DiCerbo, Chief Learning Officer, Khan Academy

Generative AI technologies and large language models pose both threats and opportunities for educators and learners. This panel will discuss the multifaceted ways that generative AI can be integrated within educational technologies and classrooms to empower education.

Generative AI algorithms and tools offer multiple approaches for tailoring learning paths to individual students, accommodating learners' diverse needs and learning styles, modeling the learning process, and prompting critical evaluation and problem solving.  The panel participants will describe how generative AI tools such as ChatGPT are currently being integrated within educational tools (e.g., Khanmigo), ChatBots, large educational ecosystems, educational degree programs, and classrooms. Panelists will discuss how educators, supported by professional development opportunities, can effectively integrate generative AI into their teaching methodologies, while ethical considerations ensure responsible use of these technologies, prioritizing privacy, security, and equity throughout the educational journey. Panelists will discuss the potential for realizing learning goals more effectively by incorporating generative AI technologies as a core part of the learning environment, as well as potential challenges and barriers that might be encountered by educators and learners.

11.30am

Learning Design and AI

Speaker: David Wiley, Chief Academic Officer, Lumen Learning

 Learning design, like other design disciplines, takes place in the context of constraints (including project budgets, timelines, access to SMEs, learners' access to technology, etc.) that require creativity and innovation on the part of the learning designer. And like those who work in other design disciplines, over the years learning designers have developed a number of design patterns informed by learning science that respond to common configurations of constraints in both the design environment and the broader teaching and learning environment.

The existence of generative artificial intelligence eliminates one of the most fundamental constraints which common learning design patterns are specifically optimized to address. Consequently, while the underlying science of learning has not changed, fundamental changes in the constraint environment mean that the most effective ways of instantiating learning science principles in learning designs may be changing dramatically. This session will explore these and other issues related to learning design and generative AI.

1.30pm

Postsecondary Leadership Perspectives on AI

Facilitator:
Justin T. Dellinger, Director of Digital Learning for the Center for Teaching Excellence, Texas A&M University

Panelists:
Debra Fowler, Executive Director for the Center for Teaching Excellence, Texas A&M University
Shane Dawson, Executive Dean, Education Futures and Professor of Learning Analytics, University of South Australia
Robert MacAuslan, Interim Vice President of Artificial Intelligence and Associate Professor and Department Chair of Social Sciences, Southern New Hampshire University
Katherine McAlvage, Associate Director of Faculty Development and Support and Graduate School faculty member, Oregon State University Ecampus

This session will explore current and future opportunities and challenges related to the use of artificial intelligence across different stakeholder groups at postsecondary institutions. The panelists will provide leadership perspectives on topics such as teaching and learning, policy, student success, research, infrastructure, workforce development, and operations. The session will consist of brief presentations by each panelist and Q&A, and resources will be shared at the conclusion.

3.00pm

Empowering Learners to use GenAI and Governance Issues at the Largest College in the U.S.

Moderator:
Dr Mina C. Johnson-Glenberg, Research Professor, Psychology, Embodied Games for Learning XR Lab, ASU

Panelists:
Dr. 'YZ’ Yezhou Yang, Associate Professor, School of Computing and Augmented Intelligence, ASU
Dr. Robert LiKamWa,  Associate Professor, School of Arts, Media and Engineering, ASU
Retha Hill, Professor of Practice and Director of New Media Innovation & Entrepreneurship Lab at the Cronkite School of Journalism and Mass Communication, ASU
Dr. Paul LePore,  Associate Dean, The College of Liberal Arts and Sciences, Arizona State University 

In this panel, several researchers and professors will discuss how students (including lifelong learners) are discovering and using generative AI (GenAI). We represent a swath of disciplines including humanities and hard-core STEM. Our students do everything from creating their own algorithms to implementing established GenAI as they create products and “Apps for Good”. We will also highlight how Arizona State University has started establishing criteria for academic integrity and several ongoing issues around GenAI and equity.

10.30am

Moderator:
Robert MacAuslan, PhD, Interim Vice President of Artificial Intelligence, Southern New Hampshire University

Panelists:
Dr. Robert MacAuslan, Interim Vice President of Artificial Intelligence, Southern New Hampshire University 
Dr. Iris Lafferty, Senior Vice President for Special Initiatives, Southern New Hampshire University 
Jaymes Walker-Myers, Associate Vice President, Learning Science and Assessment, Southern New Hampshire University 
Sahil Singhal, Vice President, Machine Learning and Data Science, Southern New Hampshire University 

11.30am

Exploring Generative AI in Education Through a Student Lens

Rachna Mathur, EdD, Mary Mary Lou Fulton Teachers College, Sr. STEM Strategist at ASU Prep, ASU
Frank Liu, PhD Candidate, Computer Engineering, ASU
Yue Liu, PhD Candidate, Engineering Education Systems and Design, ASU
Siyuan “Mei Mei” Li, PhD candidate, Human Systems Engineering, ASU

This panel invites a discussion about the perceptions and application of generative AI in the learning trajectories of students through a student lens. Featuring panelists who are current PhD students with diverse expertise and experiences, the discussion will delve into the varied aspects of Gen AI adoption. Key highlights include AI adoption and policy in K12, VR Club and Gen AI student Club, the impact of  Generative AI tools, such as ChatGPT on learning, and the importance of inclusive use of AI through empowering learner agency.  The panel will delve into the potential for achieving learning goals more effectively through responsibly incorporating generative AI technologies into the core of the learning environment and utilizing a variety of available tools.

1.30pm

Pioneering Ethical Governance and Pedagogy in the Era of AI in Higher Education

Moderator:
Angela Gunder, Chief Academic Officer, Online Learning Consortium 

Panelists:
Cristi Ford, Vice President of Academic Affairs, D2L
Reed Dickson, Director for Online Faculty Experience and Innovation, Pima Community College
Van Davis, Chief Strategy Officer, WICHE Cooperative for Educational Technologies

In an age where artificial intelligence (AI) is rapidly transforming the educational sphere, higher education institutions and their industry allies are poised to lead with innovation and responsibility. The 'Pioneering Ethical Governance and Pedagogy in the Era of AI in Higher Education' session at the Empowering Learners AI (ELAI) conference offers a deep dive into the vital roles of ethical governance and advanced pedagogy in the realm of AI.

This dynamic session, brought to life by the collaborative efforts of the Online Learning Consortium (OLC) and WCET, will present a series of compelling lightning talks by AI experts from higher education and related industries. These talks will explore the critical aspects of AI in higher education, with a special focus on the governance and pedagogical frameworks as proposed by WCET’s AI Education Policy and Practice guidelines. The aim is to shed light on ethical considerations and pedagogical strategies for AI integration, fostering a forward-thinking educational landscape.

Each presentation will conclude with a stimulating question from the speaker, leading into interactive, small-group discussions. These conversations are structured to encourage a rich exchange of insights, viewpoints, and strategies among participants. The goal is to stimulate a collaborative ideation process, drawing upon diverse experiences and perspectives to formulate actionable approaches for AI adoption.

The session is designed to empower educators, administrators, and industry professionals with the knowledge and tools to guide the ethical and effective use of AI in higher education. It’s an invaluable opportunity for attendees to engage in thought leadership, share best practices, and develop comprehensive strategies that champion the responsible and inclusive use of AI, ensuring it remains a force for positive change and educational excellence in their institutions.

3.00pm

Charting AI in Education: Reflecting on Today, Envisioning Tomorrow

Panelists:
David Wiley, Chief Academic Officer, Lumen Learning
Angela Gunder,Chief Academic Officer, Online Learning Consortium
Van Davis,Chief Strategy Officer, WICHE Cooperative for Educational Technologies

In the closing panel of the Empowering Learners AI (ELAI) conference, 'Charting AI in Education: Reflecting on Today, Envisioning Tomorrow', esteemed experts and thought leaders will converge to offer a panoramic reflection on the role and impact of AI in education. This session encapsulates the key themes, insights, and discussions from the three-day event, highlighting the latest advancements and real-world applications of AI in learning environments. Panelists will share their personal experiences with AI, both in everyday contexts and in educational settings, providing a nuanced perspective on its influence in academia and society. The discussion will pivot to exploring the broader implications of AI on future learning methodologies, ethical considerations, and societal challenges. This concluding panel aims to equip educators and learners with foresight and strategies to thrive in an AI-integrated future, fostering a generation that is technologically proficient, ethically conscious, and socially responsible. It's a forward-looking session that promises to inspire and guide attendees in their journey towards an AI-empowered educational landscape.