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2024 | OriginalPaper | Buchkapitel

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

verfasst von : Nikolaos P. Bakas, Maria Papadaki, Evgenia Vagianou, Ioannis Christou, Savvas A. Chatzichristofis

Erschienen in: Information Systems

Verlag: Springer Nature Switzerland

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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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Vorheriges Kapitel Fine-Tuning Large-Scale Project Scheduling

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Titel: Integrating LLMs in Higher Education, Through Interactive Problem Solving and Tutoring: Algorithmic Approach and Use Cases
verfasst von: Nikolaos P. Bakas
Maria Papadaki
Evgenia Vagianou
Ioannis Christou
Savvas A. Chatzichristofis
Verlag: Springer Nature Switzerland
Buch: Information Systems
Print ISBN: 978-3-031-56477-2

Electronic ISBN: 978-3-031-56478-9

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-56478-9_21

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