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Diverging Assessment: A Student Perspective

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1
Place of PublicationUnited States of America
PublisherThe Association for Computing Machinery, Inc (ACM)
Pages555-561
Volume1
ISBN (Print)9798400715679
DOIs
Publication statusPublished - 17 Jun 2025
EventITiCSE 2025: Innovation and Technology in Computer Science Education - Nijmegen Netherlands, The Netherlands
Duration: 27 Jun 2025 → 2 Jul 2025

Conference

ConferenceITiCSE 2025: Innovation and Technology in Computer Science Education
CityThe Netherlands
Period27/06/25 → 2/07/25

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