Review of Big Data on Student Information for Finding the Uncertainty in Higher Education Enrollment

2. Related Works

The recent approach of data mining has got great potentials to educational institutes. Jiaqu Yi (Jiaqu Yi, 2014) was tempered to find out the application of big data research in education field. His work has not only provided an efficient way of analyzing students’ learning skills and academic performance, but more importantly, teachers are able to modify the course content and school work for students based on their performance. For school principals and education authorities, the result also provides a good reference for designing education curriculum. The students web usage behavior supports to make enlightened decisions to improve the students performance and suggest recommendations for their academic perspectives (G.Vaitheeswaran and Arockiam, 2014).

Philip Sheridan Buffum (2014) examines three key aspects of a Big Data unit for middle school, its alignment with emerging curricular standards; the perspectives of middle school classroom teachers in mathematics, science, and language and student feedback as explored during a middle school pilot study with a small subset of the planned curriculum. The results indicate that a Big Data unit holds a greater promise in a middle school computer science curriculum.

Mohammed M. Abu Tair (2012) used Educational data mining technique and adopted to improve graduate students’ performance, and to overcome the problem of low grades of graduate students.