TY - GEN
T1 - A Systematic Review of Generative Artificial Intelligence in Language Education
AU - Wang, Zilin
AU - Zou, Di
AU - Lee, Lap Kei Keith
AU - Xie, Haoran
AU - Wang, Fu Lee
N1 - Publisher Copyright:
© 2023 Asia-Pacific Society for Computers in Education.
PY - 2023/12
Y1 - 2023/12
N2 - This research paper presents a comprehensive exploration of the application of Generative Artificial Intelligence (GAI) within the realm of language education. Through a systematic review of 20 empirical studies conducted within a structured three-step framework, this study elucidates the multifaceted integration of GAI in language learning. The examination encompasses various dimensions, including target languages, learners' educational levels, GAI applications, language skills, and practical outcomes. Additionally, the study critically assesses the key advantages and challenges inherent in GAI's role in language education. The paper provides valuable insights into human-technology interaction by delving into language learners' attitudes toward GAI. Notably, this research identifies three pivotal roles GAI assumes within the language learning process, and they are co-author, evaluator, and learning materials provider. The study concludes by charting a path toward future research endeavors within the evolving landscape of GAI-based language learning by implicating the future research direction of integrating the GAI into language education, including collaborations between humans and GAI, clarifying the definition of GAI-powered plagiarism, GAI-based language activities design, prompting strategies, and digital literacy.
AB - This research paper presents a comprehensive exploration of the application of Generative Artificial Intelligence (GAI) within the realm of language education. Through a systematic review of 20 empirical studies conducted within a structured three-step framework, this study elucidates the multifaceted integration of GAI in language learning. The examination encompasses various dimensions, including target languages, learners' educational levels, GAI applications, language skills, and practical outcomes. Additionally, the study critically assesses the key advantages and challenges inherent in GAI's role in language education. The paper provides valuable insights into human-technology interaction by delving into language learners' attitudes toward GAI. Notably, this research identifies three pivotal roles GAI assumes within the language learning process, and they are co-author, evaluator, and learning materials provider. The study concludes by charting a path toward future research endeavors within the evolving landscape of GAI-based language learning by implicating the future research direction of integrating the GAI into language education, including collaborations between humans and GAI, clarifying the definition of GAI-powered plagiarism, GAI-based language activities design, prompting strategies, and digital literacy.
KW - ChatGPT
KW - Generative artificial intelligence
KW - language education
KW - technology-enhanced language learning
UR - http://www.scopus.com/inward/record.url?scp=85181771953&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85181771953
T3 - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
SP - 33
EP - 43
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
T2 - 31st International Conference on Computers in Education, ICCE 2023
Y2 - 4 December 2023 through 8 December 2023
ER -