Integration of ChatGPT in e-Learning Systems: Comprehensive review

Abstract

The process of integrating artificial intelligence (AI) technologies, particularly ChatGPT, into e-learning has attracted considerable attention due to the potential to improve personalized education or education based on personally oriented technologies. The aim of the study is to investigate the process of integrating ChatGPT into e-learning systems, focusing on the interpretation of the results. To study the issue of ChatGPT integration in e-learning, a detailed review of the current scientific literature was conducted. Accordingly, a thorough research search covered articles from 2020 to 2023, revealing an increase in publications in recent years. An in-depth analysis of 101 publications revealed a significant interest in the use of ChatGPT to deliver personalized and adaptive learning. The results showed that the integration of ChatGPT increases the effectiveness of e-learning by adapting the content to the individual needs of all participants in the learning process. It was also shown that ChatGPT can adjust the complexity of the content according to the learner's level of understanding, provide feedback and support, and facilitate the creation of individual learning tools. The results show that the process of integrating ChatGPT into an online learning space offers many opportunities, such as personalized learning paths and rapid assessment. However, certain challenges need to be addressed, such as infrastructure limitations and ethical considerations.