Assessment validity in the era of AI generative tools
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Authors
Kabbar, Eltahir
Barmada, Bashar
Barmada, Bashar
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Date
2024-07-24
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Type
Conference Contribution - Paper in Published Proceedings
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Keyword
educational assessment
artificial intelligence (AI)
AI in education
artificial intelligence (AI)
AI in education
ANZSRC Field of Research Code (2020)
Citation
Kabbar, E., & Barmada, B. (2024) Assessment validity in the era of generative AI tools. In H. Sharifzadeh (Ed.), Proceedings: CITRENZ 2023 Conference, Auckland, 27–29 September (pp. 26–33). Unitec, ePress https://doi.org/10.34074/proc.240105
Abstract
AI Generative tools, a recent disruptive educational technology, are expected to change how education is delivered and administered. This study proposes a risk identification framework to support educators in identifying assessment integrity risks caused by AI Generative tools. The framework also suggests possible actions to mitigate these risks. The proposed framework uses four factors (Assessment Type, AI Knowledge, Course Level, and Cognitive Level Requirements) to identify the risks associated with an assessment resulting from AI Generative tools usage. It is critical to have such a framework to ensure the integrity of assessments while the education industry adapts to the AI Generative tools era.
Publisher
Unitec ePress, Te Pūkenga - New Zealand Institute of Skills and Technology
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CC BY-NC Attribution-NonCommercial 4.0 International