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Study-Buddy: A Knowledge Graph-Powered Learning Companion for School Students

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  • First Online:
The Semantic Web: ESWC 2023 Satellite Events (ESWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13998))

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Abstract

Large Language Models (LLMs) have the potential to substantially improve educational tools for students. However, they face limitations, including factual accuracy, personalization, and the lack of control over the sources of information. This paper presents Study-Buddy, a prototype of a conversational AI assistant for school students to address the above-mentioned limitations. Study-Buddy embodies an AI assistant based on a knowledge graph, LLMs models, and computational persuasion. It is designed to support educational campaigns as a hybrid AI solution. The demonstrator showcases interactions with Study-Buddy and the crucial role of the Knowledge Graph for the bot to present the appropriate activities to the students. A video demonstrating the main features of Study-Buddy is available at: https://youtu.be/DHPTsN1RI9o.

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References

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Acknowledgements

This work is supported by the Research Partnership Grant RPG2106 funded by the Swiss Leading House for Latin America.

Author information

Authors and Affiliations

  1. Fraunhofer IAIS, Dresden, Germany

    Diego Collarana

  2. Universidad Privada Boliviana, Cochabamba, Bolivia

    Fernanda Martinez, Diego Collarana, Martin Arispe & Carla Florida

  3. University of Applied Sciences and Arts Western Switzerland HES-SO, Sierre, Switzerland

    Davide Calvaresi & Jean-Paul Calbimonte

  4. The Sense Innovation and Research Center, Lausanne, Switzerland

    Jean-Paul Calbimonte

Authors
  1. Fernanda Martinez
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  2. Diego Collarana
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  3. Davide Calvaresi
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  4. Martin Arispe
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  5. Carla Florida
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  6. Jean-Paul Calbimonte
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Corresponding author

Correspondence to Diego Collarana .

Editor information

Editors and Affiliations

  1. University of Lisbon, Lisbon, Portugal

    Catia Pesquita

  2. University of Nantes, Nantes, France

    Hala Skaf-Molli

  3. Foundation for Research and Technology, Heraklion, Greece

    Vasilis Efthymiou

  4. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  5. University of Paderborn, Paderborn, Germany

    Axel Ngonga

  6. Fraunhofer IAIS, Sankt Augustin, Germany

    Diego Collarana

  7. IBM Research, Rio de Janeiro, Brazil

    Renato Cerqueira

  8. Institut Polytechnique de Paris, Palaiseau, France

    Mehwish Alam

  9. Institut de Recherche en Informatique de Toulouse, Toulouse, France

    Cassia Trojahn

  10. University of Mannheim, Mannheim, Germany

    Sven Hertling

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Martinez, F., Collarana, D., Calvaresi, D., Arispe, M., Florida, C., Calbimonte, JP. (2023). Study-Buddy: A Knowledge Graph-Powered Learning Companion for School Students. In: Pesquita, C., et al. The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023. Lecture Notes in Computer Science, vol 13998. Springer, Cham. https://doi.org/10.1007/978-3-031-43458-7_25

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  • DOI: https://doi.org/10.1007/978-3-031-43458-7_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43457-0

  • Online ISBN: 978-3-031-43458-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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