Abstract Research suggests that interacting with more peers about physics course material is correlated with higher student performance. Some studies, however, have demonstrated that different topics of peer interactions may correlate with their performance in different ways, or possibly not at all. In this study, we probe both the peers with whom students interact about their physics course and the particular aspects of the course material about which they interacted in six different introductory physics courses: four lecture courses and two lab courses. Drawing on social network analysis methods, we replicate prior work demonstrating that, on average, students who interact with more peers in their physics courses have higher final course grades. Expanding on this result, we find that students discuss a wide range of aspects of course material with their peers: concepts, small-group work, assessments, lecture, and homework. We observe that in the lecture courses, interacting with peers about concepts is most strongly correlated with final course grade, with smaller correlations also arising for small-group work and homework. In the lab courses, on the other hand, small-group work is the only interaction topic that significantly correlates with final course grade. We use these findings to discuss how course structures (e.g. grading schemes and weekly course schedules) may shape student interactions and add nuance to prior work by identifying how specific types of student interactions are associated (or not) with performance.
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Who are My Peers? Learner-Controlled Social Comparison in a Programming Course
Studies of technology-enhanced learning (TEL) environments indicated that learner behavior could be affected (positively or negatively) by presenting information about their peer groups, such as peer in-system performance or course grades. Researchers explained these findings by the social comparison theory, competition, or by categorizing them as an impact of gamification features. Although the choice of individual peers is explored considerably in recent TEL research, the effect of learner control on peer-group selection received little attention. This paper attempts to extend prior work on learner-controlled social comparison by studying a novel fine-grained peer group selection interface in a TEL environment for learning Python programming. To achieve this goal, we analyzed system usage logs and questionnaire responses collected from multiple rounds of classroom studies. By observing student actions in selecting and refining their peer comparison cohort, we understand better whom the student perceives as their peers and how this perception changes during the course. We also explored the connection between their peer group choices and their engagement with learning content. Finally, we attempted to associate student choices in peer selection with several dimensions of individual differences.
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- Award ID(s):
- 1822752
- PAR ID:
- 10482975
- Editor(s):
- Hilliger, Isabel; Muñoz-Merino, Pedro J.; De Laet, Tinne; Ortega-Arranz, Alejandro; Farrell, Tracie
- Publisher / Repository:
- Springer
- Date Published:
- Journal Name:
- European Conference on Technology Enhanced Learning (EC-TEL 2022)
- ISBN:
- 978-3-031-16289-3
- Subject(s) / Keyword(s):
- e-learning programming social-comparison user-control
- Format(s):
- Medium: X
- Location:
- Tolouse, France
- Sponsoring Org:
- National Science Foundation
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