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Cited by 4Student Assessment and FeedbackTeaching and Learning ProgrammingInnovative Teaching and Learning Methods

An experience with peer assessment in the context of a Computer Systems course

Montagner, Igor S·2019·2019 IEEE Frontiers in Education Conference (FIE)
DOI 10.1109/fie43999.2019.9028508
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Abstract

In this paper, situated in the Research-to-Practice Category, we describe a Work in Progress on the application of Peer Assessment in the context of a Computer Science course. Peer Assessment has been studied both as way of generating learning experiences and as a way of improving the efficiency and accuracy of the feedback loop. We report on this paper the execution of a Peer Assessment activity on a Computer Systems course. After solving an one-hour quiz containing easy to moderate questions, students received a set of detailed grading instructions and were asked to grade a colleague's quiz. We borrow concepts from rubric design to create informative grading instructions that relate parts of the student's answers to the learning objectives of the quiz. Students received support from the instructor on how to grade but not on their grading. We validated our experience by analysing student perception using a questionnaire and by comparing student assigned grades to instructor assigned ones. Encouraging results were found to support both the learning and the grading aspects, although sample size (N=20) did not allow more complex statistical analysis to be performed. We also analyzed the in-class execution of the activity, listing successes and points of improvement.

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Crossref · 10.1109/fie43999.2019.9028508

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  • Oral presentation, portfolios, articles, test performances, online discussions, and quizzes are the most common products observed during the survey that are assessed using the peer assessment approach.

    “Oral presentation, portfolios, articles, test performances, online discussions, quizzes, etc., are the most common products observed during the survey that are assessed using peer assessment approach [53,54].”

    From Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education (2022) · cites this paper as [54]

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Authors
Montagner, I. S.
Venue
2019 IEEE Frontiers in Education Conference (FIE)
Publisher
IEEE
Published
2019-10
Pages
1-5
ISSN
0190-5848 (ISSN-L)
DOI
10.1109/fie43999.2019.9028508
OpenAlex
W3011608076
Cited by
4
References
15
Citations by year
2025: 1 · 2024: 1 · 2022: 1 · 2021: 1
FWCI
2.68
Type
conference paper
Language
en
Open access
closed
Licence
Locations
IEEE Frontiers in Education Conference (FIE) (publishedVersion)
Topics
  • Social Sciences › Education › Student Assessment and Feedback
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Keywords
peer assessment, peer grading, computer systems course, computer science education, rubric development, feedback loops, student perceptions, instructor support

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