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

Shenghua Zha, Wu He

Abstract


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.

https://doi.org/10.34105/j.kmel.2015.07.013

 


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Laboratory for Knowledge Management & E-Learning, The University of Hong Kong