Published Paper Details:

Higher education's purpose and value are rapidly evolving as a result of technological progress and the widespread availability of data. In higher education institutions around the world, data mining and advanced predictive analytics are increasingly being used to perform tasks such as student recruitment, enrollment, prediction of student behaviour, and the development of personalised learning schemes. Big data and cloud computing impact on higher education is examined in this chapter. Using a systematic literature review and qualitative content analysis, the authors establish their position on the benefits, challenges and opportunities of using big data and cloud computing in education. We are conducting a comprehensive literature review in order to identify trends, classify research themes, identify potential future research avenues, and point out potential limitations. We conducted a systematic review of all 40 primary studies published between the years of 2014 to 2019. There has been an increase in education-related big data studies over the last two years, according to the findings of this study. Current studies on big data in education cover four main research themes: learner behaviour and performance, model-based educational data warehouse, system enhancements, and integration of big data into curriculums. Research on student behaviour and performance has been the primary focus of most big data educational studies.