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Wednesday, November 11 • 12:00pm - 12:25pm
Promoting Robust Student Learning of Statistics with Open Education Resources

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Learning is robust if the acquired knowledge meets at least one of the following three criteria: long-term retention; transfer and accelerated future learning. Promoting robust learning (rather than normal learning) of statistics knowledge content types is a desired transformative outcome for a second year statistics course offered at Bethune-Cookman University. Thus, we selected and implemented instances of statistics courses available through the Open Learning Initiative (OLI) web-based learning environment. Analytics of learning transactions from over nine semesters (offered to 303 traditional and 94 online students) is allowing us to investigate the metacognitive behaviors that promote robust student learning of statistics.

Learning Outcomes:
The attendee will learn how the data received from Open Learning Initiative by Carnegie Mellon helped us to determine best interventions to improve learning of statistics in Practical Statistics Course offered at Bethune-Cookman University.

avatar for Kelly Carey

Kelly Carey

Mathematics Instructor & Department Assessment Coordinator, Bethune-Cookman University
I have been a mathematics educator since 1988. I love trying to incorporate new technology in my courses. Recent interests are studying student metacognition Strategies in Learning Statistics.
avatar for Raphael Isokpehi

Raphael Isokpehi

Professor of Biology & Bioinformatics, Bethune-Cookman University

Wednesday November 11, 2020 12:00pm - 12:25pm EST
Concurrent 4
  Practices, Presentation