Trends, Research Issues and Applications of Artificial Intelligence in Language Education

Autor/inn/en	Huang, Xinyi; Zou, Di; Cheng, Gary; Chen, Xieling; Xie, Haoran
Titel	Trends, Research Issues and Applications of Artificial Intelligence in Language Education
Quelle	In: Educational Technology & Society, 26 (2023) 1, S.112-131 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1176-3647
Schlagwörter	Trend Analysis; Educational Trends; Vocabulary Development; Artificial Intelligence; Web Based Instruction; English for Special Purposes; Pronunciation Instruction; Intelligent Tutoring Systems; Teaching Methods; Bibliometrics; Research Reports; Writing Evaluation; Writing Instruction; Computer Assisted Instruction; Individualized Instruction; Reading Instruction; Speech Communication; Grammar; Natural Language Processing; Audio Equipment; Second Language Learning; Second Language Instruction + Suchen Sie Ihr Suchwort? Trendanalyse; Bildungsentwicklung; Wortschatzarbeit; Künstliche Intelligenz; Web Based Training; Ausspracheübung; Intelligentes Tutorsystem; Teaching method; Lehrmethode; Unterrichtsmethode; Bibliometrie; Research report; Forschungsbericht; Schreibunterricht; Computer based training; Computerunterstützter Unterricht; Individualisierender Unterricht; Leseunterricht; Grammatik; Natürliche Sprache; Audio-CD; Zweitsprachenerwerb; Fremdsprachenunterricht
Abstract	Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain largely under-investigated. Accordingly, the present paper, using bibliometric analysis, investigates these issues via a review of 516 papers published between 2000 and 2019, focusing on how AI was integrated into language education. Findings revealed that the frequency of studies on AI-enhanced language education increased over the period. The USA and Arizona State University were the most active country and institution, respectively. The 10 most popular topics were: (1) automated writing evaluation; (2) intelligent tutoring systems (ITS) for reading and writing; (3) automated error detection; (4) computer-mediated communication; (5) personalized systems for language learning; (6) natural language and vocabulary learning; (7) web resources and web-based systems for language learning; (8) ITS for writing in English for specific purposes; (9) intelligent tutoring and assessment systems for pronunciation and speech training; and (10) affective states and emotions. The results also indicated that AI was frequently used to assist students in learning writing, reading, vocabulary, grammar, speaking, and listening. Natural language processing, automated speech recognition, and learner profiling were commonly applied to develop automated writing evaluation, personalized learning, and intelligent tutoring systems. (As Provided).
Anmerkungen	International Forum of Educational Technology & Society. Available from: National Yunlin University of Science and Technology. No. 123, Section 3, Daxue Road, Douliu City, Yunlin County, Taiwan 64002. e-mail: journal.ets@gmail.com; Web site: https://www.j-ets.net/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01