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Validity matters more than cheating
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OA
AI
DOI：10.1080/02602938.2024.2386662.png)
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Abstract
En 中文
Cheating attracts a significant amount of attention in conversations about assessment, and with good reason: if students cheat, we cannot be sure they have met the learning outcomes of their course. In this conceptual article we question the attention given to cheating as a concept and argue that the broader concept of validity is a more important concern. We begin by questioning what cheating is, why it is wrong, and how justifiable the approaches used to address cheating are. We then propose a reframing of cheating as subsumed by assessment validity. In this view, cheating is addressed without moralising, as part of the broader positive mission of assurance of learning. This perspective highlights how attempts to improve validity by addressing cheating can sometimes make validity worse, for example when an anti-cheating technology reduces cheating but creates problems for inclusion. In shifting focus from cheating to validity, we hope to draw renewed attention to what matters most in assessment: that we know our graduates are capable of what we say they are.
Keywords:
Academic integrity
cheating
assessment
validity
assessment security
artificial intelligence
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