TY - GEN
T1 - Tools and Approaches of Generative Artificial Intelligence Used in Education
AU - Chung, Hsin Hsuan
AU - Chung, Fu Ling
AU - Lin, Shu Min
AU - Lan, Yu Ju
N1 - Publisher Copyright:
© 2023 Asia-Pacific Society for Computers in Education.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
KW - ChatGPT
KW - Generative artificial intelligence
KW - education
KW - systematic review
UR - http://www.scopus.com/inward/record.url?scp=85181766111&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85181766111&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85181766111
T3 - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
SP - 17
EP - 26
BT - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
A2 - Shih, Ju-Ling
A2 - Kashihara, Akihiro
A2 - Chen, Weiqin
A2 - Chen, Weiqin
A2 - Ogata, Hiroaki
A2 - Baker, Ryan
A2 - Chang, Ben
A2 - Dianati, Seb
A2 - Madathil, Jayakrishnan
A2 - Yousef, Ahmed Mohamed Fahmy
A2 - Yang, Yuqin
A2 - Zarzour, Hafed
PB - Asia-Pacific Society for Computers in Education
T2 - 31st International Conference on Computers in Education, ICCE 2023
Y2 - 4 December 2023 through 8 December 2023
ER -