Big Data Analytics and Educational Sustainability-A Malaysian Scenario

Abstract

Despite the increased interest in higher learning institutions (HLIs), research on big data analytics (BDA) focusing on sustainability in the education sector is still in its infancy. Therefore, this study proposes a BDA-centric framework, emphasizing sustainability in higher education by integrating the Technology, Organization, and Environment (TOE) theory and the Diffusion of Innovation (DOI) model. The framework will be tested to examine the impact of the factors on BDA adoption and sustainable education. It also aims to determine how BDA assists HLIs in attaining sustainability. Moreover, whether BDA mediates the relationship between the factors and sustainable education will also be tested. The study will employ a questionnaire-based survey to validate the model. Data will be collected from public and private universities located in various states in Malaysia. Structural Equation Modeling (SEM) will be employed to examine the model and proposed hypotheses. The study's findings offer essential insights for adopting BDA successfully in HLIs. This study may be helpful for educators, policymakers, and big data vendors in adopting big data successfully among HLIs to ensure sustainability in educational systems.