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Integrating LLMs in Higher Education, Through Interactive Problem Solving and Tutoring: Algorithmic Approach and Use Cases

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Information Systems (EMCIS 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 501))

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Abstract

Despite the concerns that recent developments in Large Language Models (LLMs) have raised, they undoubtedly revealed a novel potential of Artificial Intelligence (AI) algorithms in educational environments. Whether they are used for tutoring, in a manner similar to that of Intelligent Tutoring Systems (ITS), or to support assessment design and delivery, their impact in a learning setting is remarkable. In this paper, we propose an interactive tutoring approach, utilizing ChatGPT’s API. By exploiting ChatGPT’s programming interface, we can develop customized interactive problem-solving and tutoring sessions on specific topics of interest. The API’s versatility allows for dynamic interactions, fostering a deeper understanding of subjects taught and effective problem-solving skills. We demonstrate the application of the developed code in an applied educational setting with specific use cases.

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Acknowledgments

ChatGPT [18] has been utilized for the development of the interactive tutoring sessions presented.

Funding

This work received financial support from the EuroCC 2 Project (101101903) of the European Commission.

Author information

Authors and Affiliations

  1. School of Liberal Arts and Sciences, Department of Information Technology & AI Lab, American College of Greece, Deree, Athens, Greece

    Nikolaos P. Bakas, Evgenia Vagianou & Ioannis Christou

  2. National Infrastructures for Research and Technology - GRNET, 7 Kifisias Avenue, 11523, Athens, Greece

    Nikolaos P. Bakas

  3. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

  4. Intelligent Systems Laboratory, Department of Computer Science, Neapolis University Pafos, Paphos, Cyprus

    Savvas A. Chatzichristofis

  5. Department of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, M139PL, UK

    Maria Papadaki

Authors
  1. Nikolaos P. Bakas
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  2. Maria Papadaki
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  3. Evgenia Vagianou
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  4. Ioannis Christou
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  5. Savvas A. Chatzichristofis
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Corresponding author

Correspondence to Nikolaos P. Bakas .

Editor information

Editors and Affiliations

  1. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

  2. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  3. British University in Dubai, Dubai, United Arab Emirates

    Khalid Al Marri

  4. Dubai Blockchain Center, Dubai, United Arab Emirates

    Marwan Al Zarouni

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Bakas, N.P., Papadaki, M., Vagianou, E., Christou, I., Chatzichristofis, S.A. (2024). Integrating LLMs in Higher Education, Through Interactive Problem Solving and Tutoring: Algorithmic Approach and Use Cases. In: Papadaki, M., Themistocleous, M., Al Marri, K., Al Zarouni, M. (eds) Information Systems. EMCIS 2023. Lecture Notes in Business Information Processing, vol 501. Springer, Cham. https://doi.org/10.1007/978-3-031-56478-9_21

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  • DOI: https://doi.org/10.1007/978-3-031-56478-9_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56477-2

  • Online ISBN: 978-3-031-56478-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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