Optimization analysis of teachers' professional growth path based on artificial intelligence technology
Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v6i11.3159
Abstract
With the rapid development of artificial intelligence technology, the field of education is undergoing profound changes. As the core of educational innovation, college teachers need to closely integrate their professional growth path with intelligent technology to meet the challenges and opportunities of the new era. Based on the systematic combing of existing literature, this study proposes the optimization path for the professional growth of college teachers empowered by artificial intelligence technology. First, the potential of AI technology in promoting teachers' professional development is explored from three aspects: personalized growth path design, intelligent training platform construction, and educational data analysis and performance evaluation. Second, the challenges in the process of technology application are analyzed, including the difficulty of technology integration, ethical and privacy issues, and the adaptability of teachers' role transformation. Finally, the study summarizes the key directions for optimizing the professional growth path of college teachers, emphasizing the construction of a theoretical framework and practical strategies for AI-centered teacher growth. In conclusion, this paper provides theoretical support and practical reference for teachers' professional development in the era of artificial intelligence.
Keywords
artificial intelligence; teacher professional growth; educational technology; path optimization; personalized growth
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[3] Fullan M. 1991. The New Meaning of Educational Change. Teachers College Press.
[4] Day C. 1999. Developing Teachers: The Challenges of Lifelong Learning. Falmer Press.
[5] Siemens G. 2013. Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10): 1380-1400.
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[7] Williamson B, Eynon R. 2020. Historical threads, missing links, and future directions in AI in education: A critical appraisal. Learning. Media and Technology, 45(3): 223-235.
[8] Li X., Zheng Y, Hu B. 2021. Using AI-driven analysis to optimize teachers' professional development paths. Educational Technology Research and Development, 69(4): 1191-1206.
[9] Gao L, Li W, Wang X. 2020. AI-enabled feedback systems in higher education: A case study of automated teaching evaluations. Journal of Educational Computing Research, 58(6): 1192-1215.
[10] Zhang H, Sun Y, Wang L. 2022. Evaluating teaching performance using AI-based classroom behavior analysis. Computers in Human Behavior, 135: 107313.
[11] Huang R, Spector JM, Yang J. 2019. Educational big data and artificial intelligence: New directions for future research. Educational Technology Research and Development, 67(2): 481-487.
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