Statistical Analysis on the Preferences of MOOC Learners

DOI

10.2991/978-2-494069-37-4_38How to use a DOI?

Keywords

MOOC videos; Learning preferences; Statistical analysis; Online learning

Abstract

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.

Copyright

© 2023 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.

Download article (PDF)

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  -