Armstrong  Kadyamatimba, Alfred  Mutanga, Nehemaih  Mavetera, 
    Application of Context-Aware Business Intelligence Framework in Determining Riskiness of Academic Modules Within Tertiary Institutions,
    Asian Journal of Information Technology,
    Volume 16,Issue 11,
    2017,
    Pages 801-809,
    ISSN 1682-3915,
    ajit.2017.801.809,
    (https://makhillpublications.co/view-article.php?doi=ajit.2017.801.809)
    Abstract: <p>This study shows the researchers efforts to determine the riskiness of academic modules at a South African University. In determining the modules at risk, the researchers used a hybrid of sequential and cyclical methodological approaches based on a context-aware business intelligence framework. The risk indicators derived from academic module enrolment data elements were weighted and aggregated to determine the riskiness of a module. The results showed that the riskiness of a module can be zero, weak, strong and extreme. Depending on the riskiness of a module, the institution can determine the appropriate intervention strategies for students to succeed in passing the module. This research proves to be essential for program and module reviews which are important quality assurance exercises within the South African higher education institutions.</p>

    Keywords: Risk modules;business intelligence;degree of difficulty;content knowledge;strong;institution