PERC 2022 Abstract Detail Page
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| Abstract Title: | How inclusiveness of learning environment predicts students’ physics grades and motivational beliefs in introductory physics courses |
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| Abstract Type: | Contributed Poster Presentation |
| Abstract: | In this study, we adapted a prior identity framework to investigate how students' perception of the inclusiveness of the learning environment (including sense of belonging, peer interaction and perceived recognition) in an introductory physics course predicts their course grades and physics motivational beliefs (including self-efficacy, interest and identity) at the end of this course. We found signatures of inequitable and non-inclusive learning environment in that female students' mean scores for sense of belonging, peer interaction and perceived recognition were all lower than male students' in the course. In addition, we found that female students had lower average course grades than male students. Using structural equation modeling, we found that students' perception of the inclusiveness of the learning environment predicts their self-efficacy, interest, identity and grades at the end of the course. In particular, students' perceived recognition, e.g., by instructors and teaching assistants, played a major role in predicting students' physics identity, and students' sense of belonging in physics played an important role in explaining the change in students' physics self-efficacy. Our findings can be helpful for creating an inclusive and equitable learning environment in which all students can excel. |
| Session Time: | Poster Session 3 |
| Poster Number: | III-6 |
| Contributed Paper Record: | Contributed Paper Information |
| Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
| Primary Contact: |
Yangqiuting Li University of Pittsburgh Pittsburgh, PA 15213 Phone: 4125376227 |
| Co-Author(s) and Co-Presenter(s) |
Chandralekha Singh (she/her), University of Pittsburgh |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
