<?xml version="1.0" encoding="UTF-8"?>
<tiskova_zprava>
    <titulek>I replaced traditional coding tests with real conversations about how my students solve problems using AI.</titulek>
    <datum>5.10.2026</datum>
    <subjekt>Google Italia</subjekt>
    <autor>
        <jmeno>Nurfadhlina Mohd Sharef</jmeno>
        <email></email>
        <telefon></telefon>
        <kontakt></kontakt>
    </autor>
    <region>
        <nadrazeny>Italien</nadrazeny>
        <podrizeny></podrizeny>
    </region>
    <kategorie>
        <polozka>Technologie</polozka>
        <polozka>Bildung</polozka>
        <polozka>Universitäten</polozka>
    </kategorie>
    <perex>Embedding AI as a collaborative thinking partner completely transformed how I assess my data mining students.</perex>
    <text>
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&apos;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&apos;t replacing learning with AI, but intentionally redesigning it to build lasting human capability rather than tech dependency.

https://blog.google/products-and-platforms/products/education/gemini-google-colab

</text>
</tiskova_zprava>
