Human Computer Interation Thesis Defense

  • Gates Hillman Centers
  • Reddy Conference Room 4405
  • Ph.D. Student
  • Human-Computer Interaction Institute
  • Carnegie Mellon University
Thesis Orals

Using Interactive Learning Activities to Address Challenges of Peer Feedback Systems

Effective feedback is a central tenet for project-based learning, but the limits of feedback resources become increasingly evident as class sizes increase. For example, time demands preclude instructors from providing frequent, detailed feedback for every student in large classes. Instructors often turn to peer feedback systems to provide feedback at scale. However, existing peer feedback systems struggle to engage students in the process, to improve feedback quality over time, and to support reflection on peer feedback.

In this thesis, I describe my work to use interactive learning techniques to address these challenges of peer feedback systems. Interactive learning techniques ask students to generate novel learning-related materials and to collaboratively engage with them, which optimizes student learning. My work identifies opportunities to use interactive learning techniques to improve the peer feedback process. I articulated a theoretical framework for in-class peer feedback activities, developed a novel system for in-class peer feedback, and analyzed its impact on the feedback provided. I then examine how interactive learning activities before and after in-class peer feedback exchange impact peer feedback quality, the perceived value of peer feedback, and both student and instructor attitudes towards the peer feedback process.

Thesis Committee:
Jessica Hammer (Co-chair)
Steven Dow (Co-Chair) (University of California, San Diego)
Kenneth Koedinger (HCII)
Marsha Lovett (Psychology/Eberly Center)

Copy of Thesis Document

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