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New assessment pattern proposed for GenAI era in education

A new paper proposes the X1-X2-X3 assessment pattern to help educators design evaluations that account for the rise of generative artificial intelligence (GenAI). This method involves students providing a sourced answer, their own answer, and an evaluation of the sourced output. The paper details a process for stress-testing assessment questions against GenAI tools to identify and revise tasks that produce superficial answers, offering practical guidance for adapting educational assessments to the routine use of AI. AI

IMPACT Offers educators a framework to adapt assessments for AI literacy and authentic evaluation.

RANK_REASON Academic paper proposing a new methodology for assessment design. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New assessment pattern proposed for GenAI era in education

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Riasat Islam (School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom), Thomas Roelleke (School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom) ·

    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: cross 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…