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Student Behaviour in Unsupervised Online Quizzes: A Closer Look

Published:04 May 2018Publication History

ABSTRACT

Unsupervised online quizzes are an effective method to help students regularly self-assess their understanding of the course concepts. It also encourages a good study habit that could lead to a better learning outcome. In our study we perform a refined analysis of the activity logs collected from the weekly quizzes of a second-year Computer Organization course with over 200 students. In addition to measuring the correlation between students' quiz performance and final performance, we also investigate the impacts of various behavioural factors such as the number of participations, the number of trials, the starting time, and the trends of changes in students' behaviours throughout the semester. Our results show that some behavioural patterns have strong implications for a student's final learning outcome in the course. We also find that the correlation between the quiz performance and the final performance is stronger for students with more active study habits.

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    • Published in

      cover image ACM Other conferences
      WCCCE '18: Proceedings of the 23rd Western Canadian Conference on Computing Education
      May 2018
      86 pages
      ISBN:9781450358057
      DOI:10.1145/3209635

      Copyright © 2018 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 May 2018

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      • Refereed limited

      Acceptance Rates

      WCCCE '18 Paper Acceptance Rate19of29submissions,66%Overall Acceptance Rate78of117submissions,67%

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