To what extent do mark expectations of first years align with their academic achievement within biology based degrees at a South African university?

Author:

Hlomuka Siyabnga1,Dukhan Shalini1,Ajoodha Ritesh1

Affiliation:

1. The University of the Witwatersrand,School of Computer Science and Applied Mathematics,Johannesburg,South Africa

Funder

National Research Foundation

Publisher

IEEE

Reference16 articles.

1. Predicting Student Academic Performance in Blended Learning Using Artificial Neural Networks

2. Forecasting Learner Attrition for Student Success at a South African University

3. Application of Machine Learning Techniques to the Prediction of Student Success

4. The bayesian network representation: Bayesian networks;koller;Probabilistic Graphical Models Principles and Techniques,2009

5. Predicting student success at various levels of their learning journey in a science programme;mabunda;National Research Foundation of South Africa,2021

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