Tuyishimire, E.; Mabuto, W.; Gatabazi, P.; Bayisingize, S. Intelligent Modelling of Learning Patterns in Tertiary Education Setting. Preprints2021, 2021090392. https://doi.org/10.20944/preprints202109.0392.v1
APA Style
Tuyishimire, E., Mabuto, W., Gatabazi, P., & Bayisingize, S. (2021). Intelligent Modelling of Learning Patterns in Tertiary Education Setting. Preprints. https://doi.org/10.20944/preprints202109.0392.v1
Chicago/Turabian Style
Tuyishimire, E., Paul Gatabazi and Sylvie Bayisingize. 2021 "Intelligent Modelling of Learning Patterns in Tertiary Education Setting" Preprints. https://doi.org/10.20944/preprints202109.0392.v1
Abstract
We are in the era where various processes need to be online. However, data from digital learning platforms are still underutilised in higher education, yet, they contain student learning patterns, whose awareness would contribute to educational development. This limits development of adaptive teaching and learning mechanisms. In this paper, a model for data exploitation to dynamically study students progress is proposed. Variables to determine current students progress are defined and are used to group students into different clusters. K-means clustering is performed on real data consisting of students from a South African tertiary institution. Cluster migration is analysed and the corresponding learning patterns are revealed.
Keywords
K-means; performance; pattern
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
