Student Expectations of Tutors in Computing Courses

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Abstract

Many institutions use undergraduate teaching assistants (tutors) in their computing courses to help provide more resources to students. Because of the role tutors play in students' learning experiences, recent work in computing education has begun to explore student-tutor interactions through the tutor's perspective and through direct observation of the interactions. The results suggest that these interactions are cognitively challenging for tutors and may not be as beneficial for students' learning as one might hope. Given that many of these interactions may be unproductive, this work seeks to understand how student expectations of these sessions might be impacting the interactions' effectiveness. We interviewed 15 students in a CS2 course to learn about the expectations and desires that students have when they attend tutoring sessions. Our findings indicate that there is variation in what students consider a desired result from the interaction, that assignment deadlines affect students' expectations and desires for interactions, and that students do not always want what they believe is beneficial for their learning. We discuss implications for instructors and potential guidance for students and tutors to make tutoring sessions more effective.

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APA

Lim, R. S., Krause-Levy, S., Villegas Molina, I., & Porter, L. (2023). Student Expectations of Tutors in Computing Courses. In SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education (Vol. 1, pp. 437–443). Association for Computing Machinery, Inc. https://doi.org/10.1145/3545945.3569766

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