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Chat GPT Performance Evaluation Model for Learning

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Smart Mobile Communication & Artificial Intelligence (IMCL 2023)


Artificial Intelligence has evolved significantly since its initial conception, and today is a widespread technology that finds applications in various sectors, including education. The emergence of Chat GPT provoked considerable interest both among ordinary users and among a number of researchers. In this regard, it is of interest to study the possibilities of Chat GPT to deal with challenges from the modern educational environment. For this purpose, Chat GPT is considered as an educational assistant, for which it is necessary to define performance indicators. In this report, two groups of performance indicators are defined in terms of Technical performance and Educational performance of Chat GPT in an educational environment. The determined indicators were used in the formulation of a mathematical model for the overall evaluation of the effectiveness of the use of Chat GPT in relation to the educational process. The applicability of the model is demonstrated using Chat GPT to solve specific tasks related to learning JavaScript in grade 12.

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Correspondence to Tereza Ivanova .

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Ivanova, T., Staneva, A., Borissova, D., Rasheva-Yordanova, K. (2024). Chat GPT Performance Evaluation Model for Learning. In: Auer, M.E., Tsiatsos, T. (eds) Smart Mobile Communication & Artificial Intelligence. IMCL 2023. Lecture Notes in Networks and Systems, vol 936. Springer, Cham.

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  • Print ISBN: 978-3-031-54326-5

  • Online ISBN: 978-3-031-54327-2

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