Artificial intelligence promotes the parallel path of teacher team construction and digital education construction
Abstract
With the rapid development of science and technology, artificial intelligence has gradually penetrated into the field of education, bringing unprecedented opportunities for the construction of teachers and digital education. This article discusses how artificial intelligence can play a boosting role in these two, and puts forward the path of parallel development. In terms of teacher team construction, artificial intelligence can help teachers improve teaching ability and efficiency by providing intelligent teaching aids, accurate educational data analysis, personalized teacher training plans and other means. At the same time, in the construction of digital education, the application of artificial intelligence can promote the digitalization, personalization and intelligence of educational resources and create a more efficient and convenient learning environment. This article further analyzes the challenges and coping strategies for implementing this parallel path, aiming to provide reference and reference for decision makers and practitioners in the field of education. Through active exploration and practice, we are expected to build a more intelligent, open and inclusive education ecosystem, laying a solid foundation for the cultivation of innovative talents to meet the needs of the future society.
References
[1] Liang Yingli, Liu Chen. Analysis of the current situation, typical characteristics and development trends of artificial intelligence
education applications [J]. China Electrochemical Education, 2018(03):24-30.
[2] Jiang Zhijian, Zhao Xingmin, Lu Desheng. Strategies for the development of vocational education in the context of artificial intelligence [J]. China Vocational and Technical Education, 2017(30):54-59.
[3] Dong Wenjuan, Huang Yao. Change and model construction of vocational education in the context of artificial intelligence [J].
China Electronic Education, 2019(07):1-7,45.
[4] Huang Ronghuai. Artificial intelligence transformation education has become a global consensus [J]. China Education Network,
2019 (6): 28-29.
[5] Zhang Hua. Lost and clear about the role of teachers [J]. Journal of Southwest University (Social Science Edition), 2010.36(02):
129-134.
[6] Edwards C, Edwards A, Spence P, et al. I, teacher: using artificial intelligence (AI) and social robots in communication and instruction[J]. Communication Education, 2018,67:473-480.
[7] Hammershøj L G. The new division of labor between human and machine and its educational implications[J]. Technology in Society, 2019,59:101-142.
[8] Bdiwi R, De Runz C, Faiz S, et al. Smart learning environment: Teacher’s role in assessing classroom attention[J]. Research in
Learning Technology, 2019,27.
[9] Brooks C , Burton R , Kleij F , et al. Teachers activating learners: The effects of a student-centred feedback approach on writing
achievement[J]. Teaching and Teacher Education, 2021, 105(1):103387.
[10] Bin Y U , Kumbier K . Artificial intelligence and statistics[J]. Frontiers of Information Technology & Electronic Engineering,
2018, 19(01):6-9.
[11]Hutchins E L. The Distributed Cognition Perspective on Human Interaction[C], 2020.
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