Abstract
Information technology promotes personalized learning. The article revolves around the issue of a personalized teaching system based on big data. It conducts in-depth analysis of educational big data, personalized teaching, and related ideas through the review of relevant literature. Under the guidance of theory, humanistic theory, and blended learning theory, a personalized teaching concept based on big data is proposed. The study proposes that a personalized teaching system based on big data is of great help to teaching, and can promote the change of learners from a “passive receiver” of knowledge to an “active builder”; it can promote the future of education to be truly digital and intelligent the development of personalized and personalized directions.
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Cai, J. (2021). Exploration on the Application of Personalized Teaching System Based on Big Data. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_66
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DOI: https://doi.org/10.1007/978-3-030-62743-0_66
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