Two-hour classroom AI literacy workshop combining LLM concepts with agency-preserving regulation practice

Design · All designs
Evidence · no claims cited

Description

A two-hour, classroom-feasible workshop with a conceptual component on "how LLMs generate text, why they can produce incomplete or incorrect answers" and a practical component that "did not rehearse the later experimental science tasks". Students discussed common LLM output problems, then in small groups predicted whether prompts would elicit satisfactory responses, queried an LLM, evaluated answers, and revised prompts as needed. The slide deck and facilitation script are released in an OSF repository.

Design Implications

Context

Requirements

• A classroom setting with LLM chatbot access for the practical prompting activities

Constraints

• The workshop did not rehearse the experimental science tasks, so effects tested transfer of a general regulatory stance
• Materials are currently available in French

Target Learners

• middle-school students in grades 8–9 (ages 13–15)

Learning Goals

• applied regulation of LLM interaction: prompting, response evaluation, and follow-up questioning during science problem solving

Claims

Related Designs

Examples

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Key Sources

• Olivier Clerc, Rania Abdelghani, Chloé Desvaux, Eliott Poisson, Pierre-Yves Oudeyer, Hélène Sauzéon. (2026). Teaching Students to Question the Machine: Short-Term Effects of an AI Literacy Workshop on Middle-School Students’ Regulation of LLM Interaction. ALIT4ALL 2026: 2nd International Workshop on AI Literacy Education For All. https://osf.io/fyu7c/overview

Page metadata

Field	Value
type	design
id	two-hour-ai-literacy-regulation-workshop
title	Two-hour classroom AI literacy workshop combining LLM concepts with agency-preserving regulation practice
description	A two-hour, classroom-feasible workshop with a conceptual component on "how LLMs generate text, why they can produce incomplete or incorrect answers" and a practical component that "did not rehearse the later experime...
status	review
generated	by process:settle-candidates on 2026-10-10
trust	unverified — no one has confirmed this page's content
sources	1 — olivier-clerc-2026

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