Case Study Rethinking Biology Exams

This case study demonstrates how concerns about AI-generated content led to a fundamental rethinking of examination design in a biology module, resulting in an innovative approach that better supports neurodivergent students and different learning styles. By implementing a range of question types within a controlled on-campus environment, the approach aims to create more equitable assessment while maintaining academic rigor. The design process shows how addressing technological challenges can lead to more inclusive assessment practices.

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Publication Details

Journal
Liverpool John Moores University
Published
2025-04-02
DOI
https://doi.org/10.24377/studentexp2931
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Case Study Rethinking Biology Exams

Liverpool John Moores University
Intelligent Tutoring Systems and Adaptive Learning
article

Case Study Rethinking Biology Exams

article en

Abstract

This case study demonstrates how concerns about AI-generated content led to a fundamental rethinking of examination design in a biology module, resulting in an innovative approach that better supports neurodivergent students and different learning styles. By implementing a range of question types within a controlled on-campus environment, the approach aims to create more equitable assessment while maintaining academic rigor. The design process shows how addressing technological challenges can lead to more inclusive assessment practices.

Liverpool John Moores University
Liverpool John Moores University (GB)
Quality Education
Openalex Percentile: Top 78%
Intelligent Tutoring Systems and Adaptive Learning
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