Visual Analysis of Research Trends on Language Teachers in the Era of Artificial Intelligence
DOI: 10.23977/aetp.2023.070812 | Downloads: 17 | Views: 425
Author(s)
Tong Chu 1, Wanyong Wang 1, Xiujuan Chen 1
Affiliation(s)
1 School of Foreign Language Education, Jilin University, Changchun, China
Corresponding Author
Tong ChuABSTRACT
This study reviews and analyzes language teacher research in the era of artificial intelligence between 2013 and 2023 using CiteSpace. The results indicate that research hotspots encompass language teachers' technological integration ability, affective attitudes, teaching content, and instructional effectiveness. The developmental trajectory of the research is evident in the shift of language teachers' instructional content from PCK to TPACK, the exploration of language teachers' affective research from internal beliefs to external environments, and the evolution of language teachers' educational technology from CALL to AI.
KEYWORDS
Language Teacher, Artificial Intelligence, Research Hotspots, Development TrendsCITE THIS PAPER
Tong Chu, Wanyong Wang, Xiujuan Chen, Visual Analysis of Research Trends on Language Teachers in the Era of Artificial Intelligence. Advances in Educational Technology and Psychology (2023) Vol. 7: 71-76. DOI: http://dx.doi.org/10.23977/aetp.2023.070812.
REFERENCES
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[2] Saudelli, M. G. and Ciampa, K. (2016) Exploring the Role of TPACK and Teacher Self-Efficacy: An Ethnographic Case Study of Three iPad Language Arts Classes. Technology Pedagogy and Education, 25, 227-247.
[3] Curwood, J. S. (2014) English Teachers' Cultural Models about Technology: A Microethnographic Perspective on Professional Development. Journal of Literacy Research, 46, 9-38.
[4] Van Praag, B. and Sanchez, H.S. (2015) Mobile Technology in Second Language Classrooms: Insights into its Uses, Pedagogical Implications, and Teacher Beliefs. ReCALL, 27, 288-303.
[5] Kessler, G. (2018) Technology and the Future of Language Teaching. Foreign Language Annals, 51, 205-218.
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