Agenda

This all-student panel will surface insights into what today's students want and expect from the AI experience. More details coming soon!

How can universities use Artificial Intelligence as a strategic partner in shaping student success?  

Universities stand at the forefront of shaping student success in an era defined by Artificial Intelligence. How can AI evolve from isolated pilots to a strategic enabler transforming academic planning and student progression. In this session, we showcase how La Trobe University is using AI to drive transformational change embedding AI into the heart of academic decision-making. From curriculum design & oversight, subject scheduling to student progression and alternate exit pathways, we demonstrate how AI is helping us rethink higher education operations for agility, efficiency, and equity.   

Our use of AI includes advanced planning algorithms that optimise subject offerings, identify overlapping subjects, and enable smooth teach-out transitions.  This session showcases how universities can leverage AI to streamline logistics, and create pathways for all students.

This session will bring together distinguished researchers, mission-driven builders, and education impact investors focused on architecting and building new AI-driven models to enhance and improve learning, student supports, and new thresholds of operational excellence within higher education, ultimately seeking to scale step-level improvements in the student experience.

As institutions move beyond static digital tools, agentic AI presents a new paradigm for adaptive, student-centered learning. This session highlights how Florida State University successfully deployed agentic AI tools to personalize instruction, provide real-time feedback, and foster deeper student engagement. Discover how we transitioned from concept to classroom, ensuring equity, privacy, and scalability.

The Student Accompaniment Model (SAM) at Tecnológico de Monterrey is an integrated support framework that links each student with Academic Program Advisors and Mentors, in order to ensure the completion of the student’ success path from admission to alumni stages. The SAM is now layering agentic AI that turns scattered records into immediate insight: an early-alert system and a dropout predictor that send risk pings to advisors and mentors; a student student profile that reveals academic and non-academic context; RAG-based virtual assistants answer policy questions about graduation requirements in natural language; a multiple-scenarios simulator lets staff test different combinations of interventions and decisions before they act; and an LLM content builder drafts personalized descriptions of social service and study-abroad options for students. These services feed a single, role-aware platform that surfaces the next-best action while humans stay firmly in control. 

This session brings together leaders from Microsoft and Arizona State University to explore how immersive worlds, game-based learning and AI-driven tools can spark creativity, deepen engagement and empower students to take greater agency in their learning. From building collaborative virtual environments to designing playful learning ecosystems, panelists will discuss what's possible now and what's next. Join us to see how gaming, VR and AI are converging to shape the future of learning.

Host and moderator: 
Dan Munnerley, Executive Director | ASU Next Lab

AI is reshaping industries and redefining the skills graduates need to succeed. This panel brings together leaders from business, education and workforce development to explore how institutions and employers can collaborate to prepare students for an AI-driven economy. Panelists will share perspectives on cultivating transferable skills, building adaptable career pathways, and strengthening partnerships between higher education and industry. Attendees will gain insights into strategies that ensure students are not only job-ready but future-ready.

Host and moderator: 
Raghu Santanam, McCord Chair of Business | ASU W. P. Carey School of Business

We report on transforming our "Generative AI in the Wild" course by integrating agentic workflows to replace traditional instructional tools. Taught over four semesters to large cohorts, the course previously used foundational model access, Chainforge simulations, Google Workspace, and an LMS. To unify the user experience, streamline information gathering, and provide real-time feedback for both individual and group work—during class and on homework—we are developing automated modules with the n8n agentic workflow system. The modular agentic design is expected to provide unique feedback and learning opportunities with controlled autonomous decision making. We will share lessons learned from the system development process and present outcome data from our Fall 2025 implementation. The design and development team—comprised of faculty and students—integrates a range of pedagogical and computational perspectives in the project.

Host: 
Elizabeth Reilley, Executive Director | ASU Enterprise Technology

This panel brings together scholars and practitioners to critically examine what it means to "scale" with artificial intelligence in higher education and beyond. Through data-driven perspectives and early research, panelists will explore how institutions can move beyond isolated pilots to envision sustainable, systemic integration of AI at scale.

Host: 
Kyle Bowen, Deputy Chief Information Officer | ASU Enterprise Technology

Imagine a student seeking support, only to be misdirected by a poorly designed AI tool. Agentic AI can deepen disconnection—or build trust. Without a responsible roadmap, it risks amplifying inequities and fragmented systems. This session introduces the Campus AI Framework, an 8-pillar blueprint, and the Strategic AI Compass, a 5-phase planning tool for intentional, responsible AI adoption. Participants will use maturity models and rubrics to align initiatives with institutional values, prioritize student trust, and foster cross-functional collaboration for student success. Ideal for academic, IT, and student affairs leaders aiming to scale impact, not chaos. Scenarios reflect diverse needs, including first-generation and non-traditional learners.

This session reimagines student success through a whole-of-institution initiative that centres students' voices, lived realities, and ambitions across their first 100 days at university. Created for a region as diverse, dynamic, and complex as Greater Western Sydney—home to many first-in-family, low-SES, migrant, and mature-age learners—the conventional indicators of success are insufficient. The initiative leverages digital personalisation, strengths-based onboarding, and an equity-first mindset to create an ecosystem where every student can thrive.

This initiative is laying the groundwork for agentic AI integration by reshaping the human-to-human experience first. It outlines the early architecture of this transformation—one grounded in behavioural insight, institutional coherence, and deeply contextualised data—and discusses how to set up a foundation for adaptive, student-centred AI systems that will amplify human care.

Maryville University is pioneering AI adoption across the student journey, from learning to operations. In this session, three leaders will share distinct perspectives on how agentic AI is reshaping higher education. Sara Bronson will highlight the impact of Social Learning Companions, course-specific AI chatbots that have reduced drop/fail/withdraw rates by 22% while supporting academic integrity. Michael Palmer will showcase METAL, Maryville's student-led Emerging Technologies Application Lab, where custom AI agents are designed to improve campus operations and engagement. Joshua Tepen will detail how AI has transformed transcript evaluation from a 10-day process into less than 30 minutes, giving students greater ownership of their academic records. Together, these examples demonstrate how Maryville is advancing AI readiness to improve outcomes, streamline systems, and empower students.

Host: 
Roger Kohler | ASU Enterprise Technology

This panel convenes technology leaders from across North America to share how their institutions are preparing for systemic AI adoption. Together, they will discuss overlapping challenges and distinct approaches to advancing AI readiness while staying grounded in institutional mission and student success.

More details coming soon!

How do institutions and industries approach workforce readiness in the era of AI? This panel features leaders who are advancing AI fluency, ethics and implementation at scale. Panelists will highlight trends on emerging workforce skills, lifelong learning and the role of higher education in cultivating adaptable talent pipelines. 

Host and moderator: 
- Michael Torrance, President | Motlow State Community College

As artificial intelligence continues to reshape global education, institutions must move beyond experimentation to strategic adoption. At Mapúa University, a premier institution in the Philippines, we have fully embraced AI to drive innovation in teaching, assessment, instructional design, accessibility, and student support. Our session, AIgniting Learning: Innovations in Teaching and Assessment at Mapúa, presents a practical, systems-level perspective on how AI is integrated into our digital ecosystem, empowering faculty and enhancing student learning outcomes.

As the lead university in EdTech and Innovation, this transformation represents more than technology adoption—it's a shift in mindset, pedagogy, and institutional culture. The disruptions of the pandemic created urgency, but our long-term vision is what sustains our momentum: to build a future-ready university that harnesses AI not as a novelty, but as a core enabler of quality education.

Host: 
Bea Rodriguez-Fransen | ASU

This session will provide an in-depth look at the University of Michigan's innovative 'Go Blue AI' mobile application, showcasing it as a prime example of how agentic AI can revolutionize and enhance the student experience.

Go Blue exemplifies how agentic AI revolutionizes the student experience. As a dynamic campus companion, Go Blue specializes in U-M specific information, proactively supporting diverse university queries. Its agentic foundation enables faculty, staff, and students to contribute tools and data, continuously enriching its knowledge base. Go Blue intelligently decides which specific tool or Maizey project to utilize, fostering a collaborative, scalable model that ensures relevance. We will highlight key mobile features, including voice input, image analysis, and location services. This session offers insights into deploying proactive AI to empower student autonomy and engagement, emphasizing U-M's commitment to data privacy.

Host: 
Elizabeth Reilley, Executive Director | ASU Enterprise Technology