| Issue |
SHS Web Conf.
Volume 156, 2023
International Conference on Teaching and Learning – Digital Transformation of Education and Employability (ICTL 2022)
|
|
|---|---|---|
| Article Number | 07001 | |
| Number of page(s) | 7 | |
| Section | T&L Tracking and Simulation | |
| DOI | https://doi.org/10.1051/shsconf/202315607001 | |
| Published online | 13 January 2023 | |
Tracking Students’ Progress using Big Data Analytics to enhance student’s Employability: A Review
Department of Computing, Middle East College, Muscat, Oman
anfal@mec.edu.om
vikas@mec.edu.om
kjesrani@mec.edu.om
vishal@mec.edu.om www.mec.edu.om
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.
Key words: Big Data Technology / Big Data Analysis / elearning / decision making / employability
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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