Cited by 26Teaching and Learning ProgrammingInnovative Teaching and Learning MethodsProblem and Project Based Learning

Evaluating Student Learning from Collaborative Group Tests in Introductory Computing

Cao, Yingjun, Porter, Leo·2017·Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

Abstract

Collaborative group exams, including two-stage exams, have received increased attention in other disciplines after studies have shown their value for student learning. In computer science, prior work has shown students may value two-stage exams, but their impact on student learning in computing is unknown. In this randomized, crossover study, student learning on four topics during two-stage midterm exams is examined. Specifically, students are randomly selected to answer questions on a topic either working in groups or individually during the exam. On a quiz two weeks later, those who worked in groups statistically significantly outperform those who worked individually. The metric of performance comparison is normalized learning gain. These are short term gains, however, as the benefit is no longer apparent by the final exam. This is the first study to use controlled experiments to examine the value of the group stage of two-stage exams in computing.

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Crossref · 10.1145/3017680.3017729

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2 of 2 references verified0 citation errors · 0 not checkable

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  • The benefits of two-stage exams can vary; not all studies have demonstrated significant long-term retention, and the effects may diminish over time.

    “However, these benefits can vary, as not all studies have demonstrated significant long-term retention, and the effects may diminish over time (Cao & Porter, 2017;Kinnear, 2021;Leight et al., 2012).”

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Authors
Cao, Y., & Porter, L.
Affiliations
University of California San Diego (US)
Venue
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
Publisher
ACM
Published
2017-03-08
Pages
99-104
OpenAlex
W2592218382
Cited by
26
References
2
Citations by year
2025: 2 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 6 · 2017: 2
FWCI
4.29
Type
conference paper
Language
en
Open access
closed
Locations
ACM Technical Symposium on Computer Science Education (SIGCSE) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Social Sciences › Education › Problem and Project Based Learning
Keywords
introductory computing, student learning, midterm exams, learning gains, computer science education

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