Abstract
In order to improve the quality of ideological and political education, a method for monitoring the learning status of ideological and political courses based on mobile learning behavior data is proposed. Combined with mobile technology to collect ideological and political learning behavior characteristic data. According to the feature recognition results of the data, an accurate stu classification algorithm is designed, and an evaluation system for the learning status of ideological and political courses is constructed. Six characteristic actions in human poses are selected to study learning state classification. Realize the monitoring of the students’ learning status in political courses. Finally, it is proved by experiments that the monitoring method of learning state of ideological and political courses based on mobile learning behavior data has high practicability and meets the research requirements.
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Research project on education and teaching reform of colleges and universities in Hainan Province: Research on practical teaching dilemma and Breakthrough Strategy of Ideological and political theory course in Higher Vocational Colleges (Project No: Hnjgzc2022-110).
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, Y. (2023). Monitoring Method of Ideological and Political Class Learning Status Based on Mobile Learning Behavior Data. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28787-9_8
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DOI: https://doi.org/10.1007/978-3-031-28787-9_8
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