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

Lighton Phiri

Academic Staff

Ivy Chisha

Undergraduate Student

B.ICT With Education

David Pungwa

Undergraduate Student

B.ICT With Education

Danny Siabbaba

Undergraduate Student

B.ICT With Education

Mutune Chaibela

Undergraduate Student

B.ICT With Education

Bydon Simukoko

Undergraduate Student

B.ICT With Education

Project Publications

**2021**
Chaibela, Mutune, Ivy Chisha, David Pungwa, Danny Siabbaba, and Bydon Simukoko. 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.	More Info.

**2018**
Chisakula, Treasure, Lwiindi Mudimba, Chisha Mwansa, Noreen Mwelwa, and Monica Nakazwe. 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.	More Info.

Educational Data Mining