Exploring Technological Success Factors of Big Data in E-Learning Systems

Big data plays an important role in the development of e-learning systems. There are many factors affecting its implementation and success with e-learning systems. This study aims to identify the implementation success factors related to big data within e-learning systems. To identify these elements, a comprehensive examination of the literature was done by using exploratory and single-case research approaches, the study used Basrah University as the case study to assess the success factors of big data in their e-learning system. Additionally, survey and expert interviews were conducted to validate the literature review’s conclusions and identify further factors. The collected data were analyzed using NVivo software to identify themes and sub-themes. To assess the quantitative survey data, machine learning methods are combined with qualitative analysis using a Random Forest Classifier. The finding showed that five factors should be considered which can aid in the creation of more efficient e-learning systems namely: Positive Impact on Students, Faculty/Staff Support and Training, Effective Content Design, System Functionality and Usability, and Assessment and Feedback. The results of this study can be used to improve learning outcomes by developing more efficient big data analytics-integrated e-learning systems.