Abstract
The emergence of a large number of online learning platforms changes the learners' demands and learning styles, thus the society puts forward higher requirements for the personalization, intelligentization and adaptability of learning resource platforms. For large-scale, multi-source and fragmented micro-video learning resources and personalized education problems, based on micro-video online learning resources data, the paper studies the accurate, comprehensive and usable micro-video learning resources portrait method. And through the application of deep learning technology, it studies the theory and method of micro-video learning resource data analysis and personalized learning resource recommendation. It explores and forms the basic theories and methods of data-driven micro-video learning resources analysis to support the research of personalized education theories and methods.
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Acknowledgment
Youth Innovative on Science and Technology Project of Shandong Province (2019RWF013), Postgraduate Education Reform Research Project of Shandong University of Finance and Economics (SCJY1911), Teaching Reform Research Project of Shandong University of Finance and Economics in 2020 (jy202011), Teaching Reform Research Project of Shandong Province (M2018X169, M2020283).
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Lin, J., Zhao, Y., Gao, T., Liu, C., Pu, H. (2021). Micro-video Learning Resource Portrait and Its Application. In: Zu, Q., Tang, Y., Mladenović, V. (eds) Human Centered Computing. HCC 2020. Lecture Notes in Computer Science(), vol 12634. Springer, Cham. https://doi.org/10.1007/978-3-030-70626-5_32
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DOI: https://doi.org/10.1007/978-3-030-70626-5_32
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