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Addressing the NLP in the Classroom: Empowering High School Teachers through Participatory Design of Hands-on NLP Activities

Luke Connelly*, Marianne Graves Petersen, Magnus Høholt Kaspersen, Line Have Musaeus, Karl Emil Kjær Bilstrup

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

The sudden prevalence of Natural Language Processing (NLP) systems, such as ChatGPT, creates a need for resources to support teachers and students in navigating their use in the classroom. While HCI research has contributed hands-on activities supporting AI literacy, NLP is less explored, and there is a lack of research on how to integrate these tools into teachers' practices. To address this, we conducted an 18-month Participatory Design process with high-school teachers comprising prototyping, workshops, classroom teaching, and dissemination activities. Through this process, we developed and contribute The Engine Room, a public website with novel digital and unplugged NLP activities that are modular and built around customisable datasets. Our findings show how participatory methods can be used to empower teachers in integrating AI literacy activities into their teaching across various subjects and with a sustained impact. We discuss how a participatory approach can address challenges of designing AI literacy tools and activities.

Original languageEnglish
Title of host publicationIDC 2026 - Proceedings the 25th Annual ACM Interaction Design and Children Conference
PublisherAssociation for Computing Machinery, Inc.
Publication date2026
Pages688-702
ISBN (Electronic)9798400722837
DOIs
Publication statusPublished - 2026
Event25th Annual ACM Interaction Design and Children Conference, IDC 2026 - Brighton, United Kingdom
Duration: 22 Jun 202625 Jun 2026

Conference

Conference25th Annual ACM Interaction Design and Children Conference, IDC 2026
Country/TerritoryUnited Kingdom
CityBrighton
Period22/06/202625/06/2026

Bibliographical note

Publisher Copyright:
© 2026 Copyright held by the owner/author(s).

Keywords

  • AI Literacy
  • Natural Language Processing
  • Participatory Design

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