用 Gemini AI 面试取代编程测试：一位教授的课堂实践
Replacing coding tests with Gemini AI interviews
马来西亚教授 Nurfadhlina Mohd Sharef 在数据挖掘课程中用 Gemini in Google Colab 充当学生的个人导师，不再让学生花数小时打磨代码语法，而是要求他们判断 AI 建议、质疑其方案并说明最终建模决策。她通过口头面试让学生为自己的选择辩护、排查问题并指出 AI 可能出错之处，同时借助 Gemini Canvas 和 Gemini Notebook 大规模评估这些作业。
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Prof. Ts. Dr. Nurfadhlina Mohd Sharef
Oct 05, 2026
Embedding AI as a collaborative thinking partner completely transformed how I assess my data mining students.
Instead of spending hours grinding through coding syntax, they use Gemini in Google Colab as a personal tutor. While the AI suggests code and alternatives, students must decide what to use, question the suggestions, and justify final modelling decisions.
This creates a meaningful form of human–AI teaming. Because AI can increasingly produce a working model, what matters is whether students can exercise judgment over the AI supporting them. I conduct verbal interviews where students defend their choices, troubleshoot and identify where AI's recommendations may be incorrect. Behind the scenes, Gemini Canvas and Gemini Notebook help me evaluate this work at scale.
Balancing my roles as a professor and Chief Digital Officer, my core belief remains: we aren't replacing learning with AI, but intentionally redesigning it to build lasting human capability rather than tech dependency.