Statistical Analysis on the Preferences of MOOC Learners
Qisang Lin1, Xiangqi Zheng1, Kunping Zhu1, *
1Department of Mathematics, East China University of Science and Technology, Shanghai, 200234, China
*Corresponding author. Email: email@example.com
Available Online 19 December 2022.
- 10.2991/978-2-494069-37-4_38How to use a DOI?
- MOOC videos; Learning preferences; Statistical analysis; Online learning
The paper aims to explore learner preferences for different online videos of open platforms. The research collects and analyzes qualitative and quantitative data by extracting audio and video features and questionnaire survey. Correlation analysis, cluster analysis and ANOVA are used as tools to analyze the collected data on variables influencing learner preferences. The results indicate that learners prefer videos with a lecturer in camera and videos with appropriate loudness, while the speaking speed and the duration of single episode may also be the factors influencing learner preferences. Based on the conclusion, some suggestions are put forward for online teaching.
- © 2023 The Author(s)
- Open Access
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Cite this article
TY - CONF AU - Qisang Lin AU - Xiangqi Zheng AU - Kunping Zhu PY - 2022 DA - 2022/12/19 TI - Statistical Analysis on the Preferences of MOOC Learners BT - Proceedings of the 2022 International Conference on Diversified Education and Social Development (DESD 2022) PB - Atlantis Press SP - 302 EP - 311 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-37-4_38 DO - 10.2991/978-2-494069-37-4_38 ID - Lin2022 ER -