In the evolving landscape of online education, institutions face critical choices between developing in-house capabilities and outsourcing or partnering.
Drawing on work at Dartmouth College, how learning innovation teams can support faculty to deliver high-quality teaching within real-world technical and institutional constraints.
The technology market is moving quicker 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.