Teaching with Analytics to Improve Student Success: Review, Amend, Apply

Thursday, June 08, 2023 | 10:15AM–11:00AM PT | Pacific Ballroom C, 2nd Floor
Session Type: Poster Session
Delivery Format: Poster Session

This session will introduce the Review, Amend, Apply framework for using analytics in teaching to improve student success: to review the information available to you about students’ behavior, to amend the information you have gathered with student feedback to ensure accuracy, and to apply evidence-based interventions in your class based on your insights. Furthermore, this session will demonstrate how the framework was used in a project to help design effective instructional interventions based on available Kaltura analytics and student feedback survey results. The demonstration will share with audiences one instructor’s efforts with weekly recap videos over a one-year period. The videos were created to increase the instructor's social presence in the online class space, as well as to provide guidance, explain muddy points, and answer questions that emerged in the class discussion board. Collaborating with an instructional technology consultant at the teaching center, the instructor improved some of her online teaching practices, which resulted in significant increases in students’ visible and meaningful engagement. The Kaltura analytics showed that the average percentage of the recap videos viewed by students increased from 67 percent in the fall to 91 percent in the spring. Direct quotes from the student feedback survey will also be shared to show the effectiveness of the implemented interventions.

Presenters

  • Zihang Shao

    Senior Instructional Technology Consultant, IU Learning Data Steward, Indiana University Bloomington