Learning analytics: current trends and innovative practices

Author:

Lee Lap-Kei,Cheung Simon K. S.,Kwok Lam-For

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Education

Reference13 articles.

1. Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019). Educational data mining and learning analytics for 21st century higher education: A review and synthesis. Telematics and Informatics,37, 13–49.

2. Avella, J. T., Kebritchi, M., Nunn, S., & Kanai, T. (2016). Learning analytics methods, benefits, and challenges in higher education: A systematic literature review. Online Learning,20(2), 13–29.

3. Baker, R., & Siemens, G. (2014). Learning analytics and educational data mining. In: Keith-Sawyer R (ed) Cambridge handbook of the leaning sciences (2nd edn). Cambridge University Press: New York, NY, pp. 253–272.

4. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White (Eds.), Learning analytics (pp. 61–75). Springer, New York, NY.

5. Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. US Department of Education, Office of Educational Technology, 1, 1–57.

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