科技科学

Assessing students in the AI era

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  • CORRESPONDENCE

By

  • Zhimin Qiao1,
  • Li Xu2 &
  • …
  • Yapei Wang3
  1. Jianjun Wu

    1. High School Affiliated to Renmin University of China, Beijing, China.

  2. Zhimin Qiao

    1. High School Affiliated to Renmin University of China, Beijing, China.

  3. Li Xu

    1. High School Affiliated to Renmin University of China, Beijing, China.

  4. Yapei Wang

    1. Renmin University of China, Beijing, China.

Your World View about the impact of artificial intelligence on examinations (see R. Serrano Nature 656, 275; 2026) mentions a take-home midterm test that produced a class average score of 96%, compared with 48.6% in a closed-book final exam. This shocked us less as a statistic than as a symptom of a broader problem. The gap in scores is not a monitoring failure; it is a pedagogical signal that university assessments still rely on tasks that AI can now perform more quickly and efficiently than the average student.

Nature 656, 1070 (2026)

doi: https://doi.org/10.1038/d41586-026-02632-z

Competing Interests

The authors declare no competing interests.

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