Tech & Science

Generative AI in Schools: Producing an Answer Doesn't Mean Learning

Herz — Tech & Science Desk · 16 August 2026 at 09:00 · 30s summary · 2 min read

The essentials

Early scientific research on artificial intelligence in education distinguishes between producing a result and actual learning, according to reporting in Le Temps. Generative AI—systems that create content in response to prompts—can write, summarize, translate, explain, generate exercises, and prepare presentations. However, researchers examining these capabilities argue that producing an output does not necessarily mean genuine learning has occurred. A collective work edited by Ambroise Baillifard and Henrietta Carbonel examines this evolution, noting that previous technologies promised to revolutionize education but did not fundamentally transform how people learn.

Producing a result doesn't necessarily mean learning has occurred.
Generative AI accomplishes many classroom tasks.
A collective work examines its effects on education.
Previous educational technologies promised transformation but didn't deliver fundamental change.

What We Know

Early scientific research on artificial intelligence in education distinguishes between producing a result and actual learning, according to reporting in Le Temps.

Generative artificial intelligence—a system capable of creating content in response to prompts—can notably write, summarize, translate, and explain.

It can also generate exercises, prepare presentations, and answer complex questions.

These capabilities enable users to obtain a result, but early scientific research urges examining separately whether actual learning has taken place.

A Collective Work on Education and AI

The collective work "Education at the Test of Artificial Intelligence" is edited by Ambroise Baillifard and Henrietta Carbonel.

Both editors are scientific collaborators at UniDistance Suisse, a Swiss-accredited institute offering university-level distance education.

The book is published by EPFL Press, a Swiss scientific and technical publishing house based at the Swiss Federal Institute of Technology Lausanne.

Previous Educational Technologies

The work places artificial intelligence within a succession of technologies associated with education.

Radio, television, computing, and the internet were each presented as revolutionary technologies for education.

According to the work, however, they did not durably transform the fundamental mechanisms of learning.

This historical precedent accompanies the distinction proposed between a tool's capacity to produce output and the actual learning achieved by its user.