Join us for AIM Research, where we host speakers working with data analytics and research to share their knowledge and engage with the University of Michigan research and learning analytics community. The field of learning analytics is a multi- and interdisciplinary field that brings together researchers from education, the learning sciences, computational sciences and statistics, and all discipline-specific forms of educational inquiry. Event details are listed below.
Title: AI for Scalable Course Articulation Recommendation
Abstract: Articulations serve as the gatekeepers to socio-economic mobility in systems of higher education. However, determining which course at one institution is academically equivalent to a course at another institution can be an intractable task when attempting to articulate and maintain articulations comprehensively and precisely between even a small set of institutions. In this talk, I will present research on using AI to scale articulation recommendation by leveraging course catalog descriptions complimented by information contained within historic enrollment patterns to infer cross-institutional course equivalencies. Early pilots of this AI articulation involving faculty engagement will be discussed as well as its current limitations and productive challenges ahead.
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