Data-Driven Insights in Higher Education: Exploring the Synergy of Big Data Analytics and Mobile Applications

Abstract

This study explores the potential for transformation that may be achieved via the use of big data analytics and mobile apps in the context of higher education, specifically emphasizing the role of data-driven decision-making. Within the contemporary educational landscape, characterized by the increasing impact of digital technology and mobile devices, institutions of higher education are actively investigating innovative strategies. That enhances effectiveness, customizes learning experiences to suit individual students, and develops overall student accomplishments. The main objective of this research is to examine the effects of incorporating big data analytics and mobile applications into the decision-making capacities of higher education establishments. The PRISMA Statement was used to guide the selection and exclusion of records using the RStudio Biblioshiny approach for data analysis. A comprehensive review of the existing scholarly works, identification of groupings, and study of citation trends within the field. The results and findings illustrate the inherent importance of “big data,” “cloud computing,” “mobile computing,” and “higher education” in the field of research, underscoring their crucial role in data-driven decision-making. Furthermore, the study underscores the significant impact of contemporary technology on administrative processes, personalized learning, and scholastic attainment. This research provides a great addition to the academic field by presenting insightful findings on the substantial influence of big data analytics and mobile applications on the evolution of higher education. This study emphasizes the need to adopt data-driven insights to successfully navigate the ever-changing landscape of higher education.