A Review: Emerging Trends of Big Data in Higher Educational Institutions

Abstract

Universities/higher educational institutions are finding ways to increase the student-faculty interactions beyond the traditional classroom, helping institutions to gather the information to enhance the student learning experiences with the help of learning analytics. These interactions are captured using the virtual learning environment through which institutions learn from the student interactions and behavioral patterns within those systems. This helps the institutions for better retention rate, prediction of the results and focus on weak students. Many institutions have placed an early detection system for management and faculty to engage with the students and figure out the problems faced by the students and provide a remedy to improvise for the faculty members. Most of the institutions rely mainly on one system such as the learning management system to capture the student interactions thus creating a gap. The Internet gives an edge to its users for practicing, learning, by doing, this leads to the emergence of video-based learning technologies that are practiced and used in several ways, such as flipped classrooms. Student faces a doubt often in their phase of learning, to clear their doubts they refer to multiple sources to get the information and knowledge. These videos provide complete skill sets, students due to lack of skill set they use these sources for their specific problems. This paper discusses literature and background studies on the big data used in institutions of higher education. It establishes a framework based on the latest trends in this area that can help stakeholders to predict their business needs.