PERC 2022 Abstract Detail Page
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| Abstract Title: | Characterizing the feedback that learning assistants give to faculty |
|---|---|
| Abstract Type: | Contributed Poster Presentation |
| Abstract: | Learning assistants are undergraduate peer educators that help facilitate learning in a university classroom environment. Jardine (2019) found that learning assistant feedback to faculty roughly fell into three categories: course logistics, student behavior, and student understanding. We built from this previous work by further characterizing the feedback given to faculty by learning assistants and found the following categories: student experience, classroom content, classroom structure, accessibility, empathy, and broad feedback. Using interview data with learning assistants and faculty working with learning assistants, we created a preliminary framework for the types of feedback and examples by learning assistants. This framework may be useful for both learning assistants and faculty members as they provide and elicit feedback. |
| Session Time: | Poster Session 3 |
| Poster Number: | III-30 |
| Contributed Paper Record: | Contributed Paper Information |
| Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
| Primary Contact: |
Sadhana Indukuri San Jose State University San Jose, CA 95192 |
| Co-Author(s) and Co-Presenter(s) |
Gina M. Quan (she/her/hers), San Jose State University |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
