Predicting and improving student performance with the combined use of machine learning and GPT

Authors

DOI:

https://doi.org/10.5902/2318133874348

Keywords:

algorithm, machine learning, GPT, student performance prediction

Abstract

This research used Machine Learning algorithms combined with GPT to predict and improve students' performance. This approach can have an innovative impact on education and the learning experience. The study adopted a quantitative approach based on experimental research and various techniques. 900 students were processed in 21 algorithms. The results indicated a powerful tool for predicting and improving students' performance, combined with GPT, surpassing other methods. Knowing students' knowledge gaps and providing personalized feedback enables more effective training. This combination can be a valuable tool for enhancing education.

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Author Biographies

Maurilio Benevento, FGV Eaesp

Fundador da Hands4E: Consultoria Ambidestra (2004 - até o momento)- Co-Fundador da StackX (2020 - 2022); professor da Universidade de São Paulo - Unidade Tatuapé - SP. (2016 - 2022); professor de Pós-Graduação da Sustentare Business School em Joinville-SC (2010 - 2020).

Fernando de Souza Meirelles, FGV Eaesp

Professor titular da Escola de Administração de Empresas se São Paulo da Fundação Getulio Vargas.

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Published

2023-03-26

How to Cite

Benevento, M., & Meirelles, F. de S. (2023). Predicting and improving student performance with the combined use of machine learning and GPT. Regae: Revista De Gestão E Avaliação Educacional, e74348, p. 1–22. https://doi.org/10.5902/2318133874348

Issue

v. 12, n. 21, 2023, publicação contínua

Section

Artigos

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