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The success or failure of students is a concern for every academic institution, college, university, governments and students themselves. This paper presents a model to determine the propensity of a student to succeed in the Electrical Engineering Department at Vaal University of Technology. Firstly, various machine learning algorithms which can be used in modelling and in predicting student success or failure are discussed as well a new algorithm called the date band algorithm. Secondly, the concept of an academic model is also discussed. This model defines the domain and focus of data used to make preditcions. The academic model consists of the subject, the lecturer and the sudent each of which has various attributes. One of the attributes discussed in this paper is the popularity index which is a measure of cohesiveness of the model.The Date Band Algorithm is presented among others in the development of the model. In this algorithm, predictions are made to optimize the performance of academic environment, thereby impacting on the choices of funders when they support students.

Modeling the Student Success or Failure in Engineering at VUT Using the Date Band Algorithm