Research on Online Learning Behavior Intervention Mechanism Based on Intelligent Technology

DOI

10.2991/978-94-6463-238-5_105How to use a DOI?

Keywords

online learning; learning behaviors; Data analysis; Intervention mechanisms

Abstract

This study analyzed the learning behavior data of online learners in Open University, and classified their learning behavior into four categories: high participation, relatively high participation, moderate participation and low participation. The study proposed interventions for learning behavior, such as early warning of academic performance, matching suitable teaching strategies, and providing adaptive push services.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruifang Ji
PY  - 2023
DA  - 2023/09/26
TI  - Research on Online Learning Behavior Intervention Mechanism Based on Intelligent Technology
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 812
EP  - 820
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_105
DO  - 10.2991/978-94-6463-238-5_105
ID  - Ji2023
ER  -