conference-paper

Student online learning behavior management system based on deep data mining

  • 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)
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In recent years, the emergence of cloud computing, Internet of things, big data, artificial intelligence, mobile Internet, and other modern information technologies has boosted the innovation of education and teaching methods and means, and many online teaching platforms or systems have emerged. The application of these platforms has provided space-time convenience for teaching and learning. However, due to the separation of teachers and students in space-time in online teaching mode, there are many problems in online teaching, It makes it difficult for teachers to supervise and manage learners' learning behavior, and make a real evaluation of students' learning efficiency. Based on the analysis of the characteristics of online students' learning behavior, this paper deeply analyzes the dilemma of online learning behavior management, and puts forward a management system for students' online learning behavior.

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Publication details

DOI
10.1109/phm-nanjing52125.2021.9612957
OpenAlex
W3215826844
Document type
conference-paper
Language
EN
Source
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)
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