Publikation:

Regaining Control : Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation

Lade...
Vorschaubild

Dateien

Pampel_2-ac5l0qrkxfmc9.pdf
Pampel_2-ac5l0qrkxfmc9.pdfGröße: 391.09 KBDownloads: 23

Datum

2025

Autor:innen

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Institutionen der Bundesrepublik Deutschland: 01JA23M02K

Projekt

MINT-Pro-NED
Open Access-Veröffentlichung
Open Access Bookpart
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen 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: 10.5220/0013425500003932

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Retrieval-Augmented Generation, Large Language Models, Education

Konferenz

17th International Conference on Computer Supported Education, 1. Apr. 2025 - 3. Apr. 2025, Porto, Portugal
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690PAMPEL, 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: 10.5220/0013425500003932
BibTex
@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}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/73357">
    <dc:contributor>Padó, Ulrike</dc:contributor>
    <dc:creator>Pampel, Barbara</dc:creator>
    <dcterms:abstract>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.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <dcterms:issued>2025</dcterms:issued>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/73357"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/73357/4/Pampel_2-ac5l0qrkxfmc9.pdf"/>
    <dcterms:title>Regaining Control : Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation</dcterms:title>
    <dc:contributor>Pampel, Barbara</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-05-19T07:53:26Z</dc:date>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/73357/4/Pampel_2-ac5l0qrkxfmc9.pdf"/>
    <dc:contributor>Martin, Simon</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:rights>terms-of-use</dc:rights>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-05-19T07:53:26Z</dcterms:available>
    <dc:creator>Martin, Simon</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Padó, Ulrike</dc:creator>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen