Study Behavior in Computing Education—A Systematic Literature Review

Author:

Lorås Madeleine1,Sindre Guttorm1,Trætteberg Hallvard1,Aalberg Trond1

Affiliation:

1. Norwegian University of Science and Technology, Trondheim, Norway

Abstract

As the field of computing education grows and matures, it has become essential to unite computing education and higher education research. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students’ academic success. This article presents the main results of a systematic literature review intended to determine what we know about the study behaviors of computing students and the role of educational design in shaping them. A taxonomy of study behaviors was developed and used to clarify and classify the definitions of study behavior, process, strategies, habits, and tactics as well as to identify their relationship to the educational context. The literature search resulted in 107 included papers, which were analyzed according to defined criteria and variables. The review of study behavior terminology found that the same terms are used to describe substantially different study behaviors, and the lack of standard terminology makes it difficult to compare findings from different papers. Furthermore, it was more common for papers to use study behaviors to explain other aspects of students rather than exploring and understanding them. Additionally, the results revealed a tendency to focus on specific educational contexts, predominantly introductory programming courses. Although computing education as a field is well equipped to expand the knowledge about both study behaviors and their connection to the educational context, the lack of common terminology and theories limits the impact. The taxonomy of study behaviors in computing education proposed in this article can contribute to contextualizing the research in such a way that researchers and educators across institutional borders can compare and utilize results. Last, the article outlines some areas for future research and recommendations for practice.

Funder

DIKU

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluation of Submission Limits and Regression Penalties to Improve Student Behavior with Automatic Assessment Systems;ACM Transactions on Computing Education;2023-06-20

2. Are They Learning or Guessing? Investigating Trial-and-Error Behavior with Limited Test Attempts;LAK23: 13th International Learning Analytics and Knowledge Conference;2023-03-13

3. Students as Gamers;Handbook of Research on Acquiring 21st Century Literacy Skills Through Game-Based Learning;2022

4. Bringing Synchrony and Clarity to Complex Multi-Channel Data: A Learning Analytics Study in Programming Education;IEEE Access;2021

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