KNIGHT Learning Analytics Architecture for Betterment of Student Education

Author:

Sharif Muddsair,Munz Ferdinand,Uckelmann Dieter

Publisher

Springer Nature Singapore

Reference25 articles.

1. European Commission, Directorate-General for Education, Youth, Sport and Culture, Wollscheid, S., Stensaker, B., Jongbloed, B., et al.: Dropout and completion in higher education in Europe: main report, Publications Office (2015)

2. Shapiro, D., Dundar, A., Wakhungu, P., Yuan, X., Nathan, A., Hwang, Y.A.: Completing college: a state-level view of student attainment rates (Signature Report No. 10a). National Student Clearinghouse Research Center, Herndon, VA, February 2016

3. Higher Education Statistics Agency (HESA): UKPIs: non-continuation rates (including projected outcomes) (tables T3, T4, T5) (2020). https://www.hesa.ac.uk/data-and-analysis/performance-indicators/non-continuation-summary. Accessed 24 April 2021

4. Na, K.S., Tasir, Z.: A systematic review of learning analytics intervention contributing to student success in online learning. In: 2017 International Conference on Learning and Teaching in Computing and Engineering (LaTICE), Hong Kong, China (2017)

5. Fancsali, S.E., Zheng, G., Tan, Y., Ritter, S., Berman, S.R., Galyardt, A.: Using embedded formative assessment to predict state summative test scores. In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge, LAK 2018, pp. 161–170 (2018)

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