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Abstract Title: Using the Tools of Online Analytics and Big Data in the On-­Campus Classroom
Abstract: Online environments produce large corpuses of Big Data which researchers can use to analyze user interaction. In MOOCs, students' use of videos, written text (forums, assignments, etc.), social interactions, quizzes, and exams are all instantly recorded and can be used to provide real-time feedback to instructors. On-­campus instructors using MOOC materials in their courses can also use these analytics tools to inform instruction in their own classrooms. At Georgia Tech, we have taken an in-­depth look at how students engage video lectures in a flipped/blended introductory physics course. We describe the physics content students appear to attend to based on their play, pause, and seeking behavior while watching videos.
Abstract Type: Symposium Poster
Targeted Session: Getting Involved in Online PER

Author/Organizer Information

Primary Contact: John M. Aiken
Georgia Institute of Technology
Co-Author(s)
and Co-Presenter(s)
Shih-Yin Lin, Scott S. Douglas, Brian D. Thoms, Marcos D. Caballero, Michael F. Schatz
Georgia Institute of Technology