Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques

Author:

Masabo EmmanuelORCID,Nzabanita Joseph,Ngaruye Innocent,Ruranga Charles,Nizeyimana Jean Paul,Uwonkunda Jeanne,Ndanguza Denis

Funder

African Centre of Excellence in Data Science, University of Rwanda

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference38 articles.

1. Johnston RB (2016) Transforming our world: the agenda for sustainable development. In: Proceeding 6th International Congress Arsenic Environment, pp 12–14. https://doi.org/10.1201/b20466-7

2. Tandberg DA, Martin RA (2019) Quality Assurance and Improvement in Higher Education: The Role of the States. State High Educ Exec Off

3. NISR (2018)Education statistics report

4. MINALOC (2020) “Minaloc strategic plan (2020–2024),”

5. Governement of Rwanda (2017) 7 years government programme: national strategy for transformation (NSTI), 2017-2024.

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