Now showing items 1-2 of 2

    • Applying predictive analytics in identifying students at risk: a case study 

      Lourens, A.; Bleazard, D. (Stellenbosch Univ, 2016)
      In this article, a case study is presented of an institutional modelling project whereby the most appropriate learning algorithm for the prediction of students dropping out before or in the second year of study was identified ...
    • Onderrigleerfaktore bydraend tot studentetalslytasie in TBOO-Kolleges 

      Du Toit, Charlene; Roodt, Cynthia Joan (Suid-Afrikaanse Akademie vir Wetenskap en Kuns, 2017)
      Technical and Vocational education and training in South Africa is influenced by a variety of factors. The increase in student numbers as a result of social, political, demographic as well as economic tendencies puts ...