Publikation: Regaining Control : Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation
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Conversational AI (chat) bots are powerful and helpful tools, but are not suited for the unrestricted use in many classrooms: They may hallucinate, easily veer from the topic of instruction, and are vulnerable to malicious prompting. Retrieval-augmented generation (RAG) is a technique that allows educators to constrain chat bots to a specific area of expertise, reducing hallucinations and vulnerability to mis-use. We are working on a low-code solution that enables tech-savvy educators to build such a RAG-based chat bot system themselves, thus retaining full control over the content and behavior of their bot. We present the first version of this system and promising initial feedback from educators and students on its suitability, reliability and flexibility.
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PAMPEL, Barbara, Simon MARTIN, Ulrike PADÓ, 2025. Regaining Control : Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation. 17th International Conference on Computer Supported Education. Porto, Portugal, 1. Apr. 2025 - 3. Apr. 2025. In: DU BOULAY, Benedict, Hrsg., Tania DI MASCIO, Hrsg., Edmundo TOVAR, Hrsg. und andere. Proceedings of the 17th International Conference on Computer Supported Education. Volume 2: CSEDU. Setúbal, Portugal: Scitepress, 2025, S. 371-378. ISSN 2184-5026. ISBN 978-989-758-746-7. Verfügbar unter: doi: 10.5220/0013425500003932BibTex
@inproceedings{Pampel2025Regai-73357, title={Regaining Control : Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation}, year={2025}, doi={10.5220/0013425500003932}, isbn={978-989-758-746-7}, issn={2184-5026}, address={Setúbal, Portugal}, publisher={Scitepress}, booktitle={Proceedings of the 17th International Conference on Computer Supported Education. Volume 2: CSEDU}, pages={371--378}, editor={du Boulay, Benedict and Di Mascio, Tania and Tovar, Edmundo}, author={Pampel, Barbara and Martin, Simon and Padó, Ulrike} }
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