Diverging Assessment: A Student Perspective

Title
Diverging Assessment: A Student Perspective
Publication Date
2025-06-17
Author(s)
Billingsley, William
( author )
OrcID: https://orcid.org/0000-0002-1720-9076
Email: wbilling@une.edu.au
UNE Id une-id:wbilling
Brankovic, Ljiljana
( author )
OrcID: https://orcid.org/0000-0002-5056-4627
Email: lbrankov@une.edu.au
UNE Id une-id:lbrankov
Li, Nan
Paul, David
( author )
OrcID: https://orcid.org/0000-0002-2428-5667
Email: dpaul4@une.edu.au
UNE Id une-id:dpaul4
Sakzad, Amin
Skerritt, Matthew P
Sheard, Judithe
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
The Association for Computing Machinery, Inc (ACM)
Place of publication
United States of America
DOI
10.1145/3724363.3729052
UNE publication id
une:1959.11/70904
Abstract

Diverging assessment maintains a common question set for all students but varies the input data so that each student has a unique problem to solve. It is an approach in student assessment that offers a unique and authentic learning experience. Although such assessments have been implemented in computing courses, their effectiveness and students’ perceptions in different contexts remain unexplored. In this paper, we investigate student perspectives on diverging assessment. We surveyed students in four courses across three different universities. Each surveyed student was enrolled in one of the four courses on networking, operation systems, digital forensics or ethical hacking. Each course featured at least one diverging assessment. The students’ overall perceptions about diverging assessments and three different aspects of diverging assessment, namely authenticity, assessment-as-learning, and academic integrity, are surveyed, reported, and analyzed.

Link
Citation
Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, v.1, p. 555-561
ISBN
9798400715679
Start page
555
End page
561
Rights
Attribution 4.0 International

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