Abstract: 

The technology market is moving more quickly than online program design teams can handle. Teams that excessively chase promises of new forms of engagement spend their design capacity on adoption and rebuilding rather than on sustaining high-quality teaching and learning experiences. Based on several years of online program development at Brown University, and amid rapid adoption of generative AI, this session makes the case for locating innovation in the more durable enterprise technology that institutions already own.

Context:
Purdue University has developed an online interdisciplinary graduate portfolio including the Master of Science in Artificial Intelligence (MSAI), the Master of Science in Data Science (MSDS), and an extensive non-credit AI microcredential portfolio, all designed to widen access for a diverse global workforce.​

Context

MIT's MicroMasters programs enrol tens of thousands of learners globally — but the infrastructure behind them reflects years of deliberate design choices that aren't always visible from the outside. 

Covering:

The Case for HyFlex

Designing education for today’s students means moving beyond one‑size‑fits‑all models and embracing flexible, student‑centred learning. HyFlex (Hybrid- Flexible) teaching empowers learners by giving them real choice—joining in person, live online, or asynchronously, while ensuring each mode offers an equivalent, high‑quality experience. Built on the core pillars of learner choice, equivalency and accessibility, HyFlex meets diverse needs, boosts engagement, and supports inclusive participation. 

A four-level transparency framework

As generative artificial intelligence (GenAI) continues to transform curriculum development workflows in higher education, this presentation introduces a four-level transparency framework that offers actionable guidance for educators, instructional designers, and administrators to foster ethical responsibility and maintain student trust. 

Covering

Networking: Meet with fellow professionals.