Article Gold Open Access 2024

Chatbot Artificial Intelligence as Educational Tools in Science and Engineering Education: A Literature Review and Bibliometric Mapping Analysis with Its Advantages and Disadvantages

ASEAN Journal of Science and Engineering
Journal · Vol. 4 · Issue 1 · pp. 93-118
Abstract

This research was conducted to analyze the application, utilization or use of AI chatbots in the education sector based on several previous studies. Bibliometric analysis is used to identify the current status of research and critical points in bibliometric data mapping can help predict future research trends. Data searches were carried out on the Scopus database with the keywords "Chatbot" AND "education" with a research year range of 2007-2024. There were 376 articles found. The research results show that research on chatbots, especially in the education sector, is increasingly in demand. In 2023 there will be a drastic increase in the number of studies regarding chatbots in the education sector compared to previous years. This is because chatbots are considered to be an interesting tool to use in education because they enable a more innovative teaching process in terms of improving learning processes and outcomes. There are 25 countries that have contributed to related research, with the United States, Australia, United Kingdom, China and Taiwan in the top five. This research also shows that there are 26 subject areas that have used chatbots in the education sector. The use of chatbots in the education sector has advantages and disadvantages. With the completion of this research, it is hoped that it can become material for consideration for related research. © 2024 Universitas Pendidikan Indonesia.

Keywords

Author Keywords

Bibliometric education Literature review chatbots Artificial intelligent

Index Keywords

Author Affiliations
Departemen Pendidikan Ilmu Komputer, Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia
Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia
Funding & Acknowledgements
No funding information
References 10 References
1 Indonesian Journal of Multidiciplinary Research, (2021)
2 Asean Journal of Science and Engineering Education, (2022)
3 Indonesian Journal of Teaching in Science, (2024)
4 Adamopoulou, Eleni, Chatbots: History, technology, and applications, Machine Learning with Applications, 2, (2020)
5 Agarry, Rachael Ojima, Primary Education Undergraduates’ Competency in the Use of Artificial Intelligence for Learning in Kwara State, ASEAN Journal of Educational Research and Technology, 1, 2, pp. 111-118, (2022)
6 Indonesian Journal of Teaching in Science, (2022)
7 Indonesian Journal of Multidiciplinary Research, (2021)
8 Japanedu Jurnal Pendidikan Dan Pengajaran Bahasa Jepang, (2023)
9 Education and Information Technologies, (2023)
10 Ajenikoko, Ganiyu Adedayo, A Mathematical Model for Estimating the End-of-Life of Power Transformers: From Literature Review to Development Analysis, ASEAN Journal of Science and Engineering, 2, 3, pp. 285-294, (2022)
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