用 AI 对话取代传统编程测试：一位教师如何评估学生用 Gemini 解决数据挖掘问题
I replaced traditional coding tests with real conversations about how my students solve problems using AI.
一位数据挖掘课程教师用 Gemini in Google Colab 充当学生的个人导师，取代传统编程语法测试，学生需自行判断 AI 给出的代码建议并说明最终建模决策的理由。教师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 建议可能有误之处，同时借助 Gemini Canvas 和 Gemini Notebook 规模化评估这些作业。
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.
来源：Google · blog.google