Educational Data Mining
The rapid increase and adoption of digital platforms in the educational sector present numerous opportunities to improve teaching and learning. Specifically, interesting and useful insights can be derived from the digital trails associated with such platforms. These platforms include, but are not limited, to Learning Management Systems, Student Information Systems, and other specialised platforms, for instance, Institutional Repositories. This project is aimed at experimentally devising and evaluating novel data mining techniques for deriving insights from educational platforms.
Project Members
Project Publications
Chaibela, Mutune, Ivy Chisha, David Pungwa, Danny Siabbaba, Bydon Simukoko, and Lighton Phiri. 2021. “Performance Predictor: A Data Mining And Machine Learning Software For Student Performance Outcomes”. Lusaka, Zambia: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/90. |
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Chisakula, Treasure, Lwiindi Mudimba, Chisha Mwansa, Noreen Mwelwa, Monica Nakazwe, and Lighton Phiri. 2018. “Factors Affecting Adoption And Use Of Moodle By Academic Teaching Staff At The University Of Zambia”. Lusaka, Zambia: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/79. |
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