Tracking Students’ Progress using Big Data Analytics to enhance student’s Employability: A Review

Abstract

The amount of data made available is enormous. Hence having a way to track both learners' progress and enable the institutions to identify and track their success rate, status, achievements, and weakness in comparison to other benchmarked institutions would allow them to be more proactive and progressive. Benchmarking would help check the performance rate of their learners, faculty and curriculum performance against similar ones for better insights into potential future enhancements. The end result would be to enable decision makers to detect, analyse, understand and predict the following: education progress, learners’ behaviour, and course outcomes. This research paper will provide an insight on various aspects of Big Data Analytics (BDA), for the above purpose by reviewing various practices being followed. Finally, authors will provide recommendations for successful implementation of BDA to track students’ performance and take necessary actions. This will be helpful in tracking their academic progress and hence enhance their employability skills by identifying the areas of improvements.

Keywords

• big data technology
• big data analysis
• elearning
• decision making
• employability