AI and Assessment: How to Deal with This? A Short Review

Assessment is always a challenging yet interesting aspect of learning. Especially since the rise of Google, with information and data available freely, assessing performance has been a significant issue in the instructional process.

I’d like to share some important key points from this short piece entitled AI-Resistant Assessment Strategies: A Practical Guide for Teachers and Educators, by Kharbach (2026) on his great website, Educators Technology.

1/ AI isn’t just making cheating easier; it’s showing a flaw in how we teach. For years, we’ve treated writing a paper as proof of thinking. Now that AI can write, we have to measure the actual process of learning, not just the final result.

2/ The most effective way to beat AI? Focus on process over product. Instead of just grading a final essay, track the human footprints like research journals, rough drafts, and visible revision history in Google Docs.

3/ Go local. AI knows general facts but it doesn’t know your classroom. Design prompts around specific class discussions, guest speakers, or local community issues. AI can’t fake a memory of something local and contextual.

4/ Move away from text-only assignments. Multimodal formats like podcasts, flowcharts, or 3-minute video explanations make it much harder for AI to hide behind a prompt. If a student can’t explain their work out loud, they probably didn’t write it.

5/ Use AI to fight AI. One top strategy is to have students critique an AI-generated response. This builds AI literacy while forcing students to use higher-order thinking skills like evaluation and analysis, which chatbots still struggle with.

6/ This guide is highly practical. It gives teachers 8 clear ways to adapt immediately. It also honestly discusses the trade-offs of timed exams, noting they can disadvantage students with anxiety or language barriers.

7/ Specific rubrics for how to grade effort or process fairly across different learner needs can be considered, in assessment strategies in large classes.

8/ Read more: Kharbach, M. (2026). AI-resistant assessment strategies: A practical guide for teachers and educators. Educators Technology. https://www.educatorstechnology.com/2026/02/ai-resistant-assessments.html

9/ Happy reading ^^

© mhsantosa (2026)

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