Tools and Approaches of Generative Artificial Intelligence Used in Education

Hsin Hsuan Chung, Fu Ling Chung*, Shu Min Lin, Yu Ju Lan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study aims to help scholars comprehend the common generative artificial intelligence (GAI) tools and approaches in the education field and to propose several potential future research directions to support scholars to make up the gap in the field. This study applied a systematic review approach to conduct content analysis and answer the research questions. We established several inclusion and exclusion criteria to identify 15 target articles from the Scopus database. The target articles should be empirical studies that discuss at least one specific GAI tool. These articles were published from 2021 to 2023 and belong to different disciplines, such as social science, computer science, and engineering. The results show that the most discussed GAI tool in education research is ChatGPT, and the most discussed GAI research method in education research is case study. Moreover, we found that ChatGPT is popular and has plenty of benefits, so educators are interested in exploring its ability, potential, and further applications. We also found that when the research objects were unusual or multiple research objects, researchers may choose to apply a case study approach. Future research can focus more on (1) conducting experiments to know what GAI tools can do for students and (2) teaching students how to use GAI to support their learning and help them recognize the concerns of using these tools.

Original languageEnglish
Title of host publication31st International Conference on Computers in Education, ICCE 2023 - Proceedings
EditorsJu-Ling Shih, Akihiro Kashihara, Weiqin Chen, Weiqin Chen, Hiroaki Ogata, Ryan Baker, Ben Chang, Seb Dianati, Jayakrishnan Madathil, Ahmed Mohamed Fahmy Yousef, Yuqin Yang, Hafed Zarzour
PublisherAsia-Pacific Society for Computers in Education
Pages17-26
Number of pages10
ISBN (Electronic)9786269689026
Publication statusPublished - 2023 Dec
Event31st International Conference on Computers in Education, ICCE 2023 - Matsue, Shimane, Japan
Duration: 2023 Dec 42023 Dec 8

Publication series

Name31st International Conference on Computers in Education, ICCE 2023 - Proceedings
Volume2

Conference

Conference31st International Conference on Computers in Education, ICCE 2023
Country/TerritoryJapan
CityMatsue, Shimane
Period2023/12/042023/12/08

Keywords

  • ChatGPT
  • Generative artificial intelligence
  • education
  • systematic review

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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