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Natural Language Processing in Teacher Training : a systematic review
- 1 Qufu Normal University
* Author to whom correspondence should be addressed.
Abstract
In the previous decade, there has been a growing interest within the research community to apply artificial intelligence (AI), particularly natural language processing (NLP) tech-nology, across various domains such as law, medicine, and finance. More recently, the fo-cus has shifted towards exploring the potential of NLP technology in education, specifi-cally in teacher training. Thus, it becomes crucial to conduct a systematic literature review to comprehensively examine the literature on the use of NLP technology in teacher train-ing. This study concentrates on the applications and use cases of NLP technology in higher education institutions and educational research institutions. Our analysis suggests that significant NLP applications in education include Language Learning, intelligent analysis, assistive technology, automatic content analysis, and speech emotion analysis. Further examination reveals that NLP technology can be effectively utilized to improve teachers’ professional abilities, such as helping language teachers improve their accents, ultimately contributing to the delivery of high-quality education. Finally, this paper summarizes the critical lessons learned from the application of NLP technology in teacher training that can guide future research endeavors in this rapidly evolving field.
Keywords
natural language processing, artificial intelligence, teacher training, educational innova-tion
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Cite this article
Zhu,Q. (2023). Natural Language Processing in Teacher Training : a systematic review. Lecture Notes in Education Psychology and Public Media,18,83-90.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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