Knowledge Management & E-Learning: An International Journal (KM&EL), Vol 7, No 2 (2015)

Font Size:  Small  Medium  Large

An analysis of user-generated comments on the development of social mobile learning

Shenghua Zha, Wu He


In this study, the authors used a mixed-method approach to analyze user-generated comments on social mobile learning from three leading news sites that report the latest development in higher education. Koole’s mobile learning model was used to code comments made by the public on the three news sites. Results showed that social mobile learning has gained an increasing public engagement in the past four years. Responders’ discussion in the comments primarily focused on four themes of social mobile learning: technology adoption, effective design, faculty training, and student training. In the end, the authors discussed the implications for developers and educators and concluded with recommendations for future research in social mobile learning using user-generated comments.

Full Text: PDF

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Knowledge Management & E-Learning: An International Journal (KM&EL)
ISSN 2073-7904


Maintained and Developed by:

Laboratory for Knowledge Management & E-Learning

Faculty of Education, The University of Hong Kong