A review of learning analytics intervention in higher education (2011–2018)

Author:

Wong Billy Tak-mingORCID,Li Kam Cheong

Funder

Research Grants Council, University Grants Committee

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Education

Reference48 articles.

1. Beattie, S., Woodley, C., & Souter, K. (2014). Creepy analytics and learner data rights: Proceedings of the Ascilite 2014 Conference (pp. 421–425). Dunedin, New Zealand.

2. Bramucci, R., & Gaston, J. (2012). Sherpa: Increasing student success with a recommendation engine: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge – LAK’12 (pp. 82–83). Vancouver, Canada.

3. Cerezo, R., Suarez, N., Núñez, J. C., & Sánchez-Santillán, M. (2014). eGraph tool: Graphing the learning process in LMSs: Proceedings of the 4th International Conference on Learning Analytics and Knowledge – LAK’14 (pp. 273–274). Indianapolis, Indiana, USA.

4. Choi, S. P. M., Lam, S. S., Li, K. C., & Wong, B. T. M. (2018). Learning analytics at low cost: At-risk student prediction with clicker data and systematic proactive interventions. Educational Technology & Society,21(2), 273–290.

5. Clow, D. (2012). The learning analytics cycle: Closing the loop effectively: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 134–138). Vancouver, Canada.

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