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AIM Research: Course Choice and Inequality: Investigating First Math Choices
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.

Upon entry into college, and every term thereafter, students are confronted with the task of making choices - choosing extracurriculars, ranking dorms, and selecting courses (the topic of this talk). That discretion brings agency and a sense of freedom, but also the potential for stalled academic progress and the perpetuation of inequality. In this talk I will discuss the various course selection strategies first year students utilize to choose their first math class, and how this choice led to disparate experiences of their math courses and altered student trajectories. I focus on first math courses in college because of the substantial importance of math in STEM pathways and the potential of positively impacting underrepresented students. I look forward to discussing course selection more broadly and what can be learned/applied from these findings.

The Center for Academic Innovation (CAI) is committed to ensuring that our meetings and events are accessible to all individuals. This event will be using Zoom. Please let us know how we can ensure that this event is inclusive to you. What accommodations or access needs can we help facilitate? Contact Trevor Parnell, Events and Marketing Specialist (tparn@umich.edu) with any questions or access needs.

Dec 6, 2021 01:00 PM in Eastern Time (US and Canada)

Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: Trevor Parnell.