Student‐generated content in college teaching: content quality, behavioural pattern and learning performance
Abstract
This study investigates the quality of course content, behavioural patterns of students and learning performance in teaching of student‐generated content (SGC). A total of 49 third‐year university students in educational technology participated in this study. By combining the methods of questionnaire, lag sequence analysis and interview, the study found that (1) SGC quality was acceptable, (2) SGC process has 14 significant behavioural sequences, and (3) students developed their knowledge and capability and were satisfied with SGC‐based teaching approach. In addition, this study revealed problems and proposed suggestions for SGC‐based course teaching. Finally, implications for course teaching in colleges, the limitations and future research plan were presented.
Number of times cited: 2
- Jing Du, Liyong Wan, Jingjing Xu and Ronghuai Huang, Empirical Research of Motivation on Knowledge Contribution Behavior: A Perspective on Chinese Original Users from Education Multimedia Platform, International Journal of Information and Education Technology, 8, 6, (443), (2018). 2017 12th International Conference on Computer Science and Education (ICCSE) Houston, TX, USA 2017 12th International Conference on Computer Science and Education (ICCSE) IEEE , (2017). 978-1-5090-2508-4 Qi Wang, Haipeng Wan and Shengquan Yu The design and implementation of user-trust based social review method and system in online learning , (2017). 155 160 8085481 , 10.1109/ICCSE.2017.8085481 http://ieeexplore.ieee.org/document/8085481/




