The Adoption of Big Data in the Education Sector

Big Data enables higher educational institutions the ability to efficiently use information technology resources to enhance the effectiveness of education and performance. This chapter explores the meaning of big data applicable to educational institutions, identifies the factors that affect the adoption of big data approach in higher education institutions, especially for strategic management purposes and aims to examine the challenges of adopting big data in higher education institutions. The literature sources are from journals on scientific studies and articles, and research papers. The benefits of BD in the education sector include academic productivity, teaching efficiency, organization of processes, freedom of tech stack/tech stack independence, reduction in student dropout, managing the business's finances and operations, maintaining open and honest communication, multiplication of data, accelerating the instructional process and personalization. The driving factors are the TEO framework (organizational, technological and environmental), etc

Keywords: Big data, Colleges, Education, Learners, Students, Technology, Teachers, Universities.