Assessment Design in the GenAI Era: The X1-X2-X3 Assessment Pattern for Testing Students' AI Literacy, Learning Outcomes, and Reflection
arXiv:2608.12351v1 Announce Type: new Abstract: Generative artificial intelligence (GenAI) has challenged the validity of unsupervised online assessment, especially in technical subjects where plausible answers can be produced with little effort. This paper reports lessons from designing and implementing an AI-aware, AI-testing assessment in a large second-year undergraduate database systems module. The design combined two linked elements: (1) a structured three-part response format (X1-X2-X3) i
Record details
Published: 14 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Children & education
Retrieved: 14 August 2026
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ethics.ai (14 August 2026), “Assessment Design in the GenAI Era: The X1-X2-X3 Assessment Pattern for Testing Students' AI Literacy, Learning Outcomes, and Reflection,” evidence record 19110, https://ethics.ai/record/19110 (originally published by arXiv cs.CY).
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