The Impact of Educational Big Data, Innovative Learning Environment and Self-Efficacy on Academic Performance in Kuwait's Private Higher Education Institutions

This study is aiming to study and investigate the effect of educational big data, innovative learning environments and self-efficacy on students’ academic performance in the private higher education sector in Kuwait, aiming to enhance educational outcomes in a developing country context. A quantitative approach will be used, involving surveys to measure the model's variables affecting academic performance among students from several private institutions across Kuwait. Different statistical analyses will be conducted to determine the effects of big data and innovative learning environments on student outcomes. The results are supposed to reveal the correlation between the use of big data in education and self-efficacy while explaining how innovative learning environments may mediate the relationship between educational big data usage and improved academic performance. The study's scope includes private higher education institutions in Kuwait. Future studies could test the same proposed model in different educational settings like government HE institutions. This research is filling a gap in the literature by understanding the modern technological tools and their impact on students' academic performance within Kuwait's private colleges and higher education institutions. It is recommended that educators and policymakers invest in technological resources and training to fully leverage the benefits of educational big data and innovative environments.