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A Big Data Model for Education Sector

Abdulla Fairuzullah, Ahmad Tajuddin and Noraziah, Ahmad and Mohd Helmy, Abdul Wahab and Haneen, A. A. and Roslina, Mohd Sidek (2017) A Big Data Model for Education Sector. In: 1st International Conference on Big Data and Cloud Computing (ICOBIC 2017), 25-26 November 2017 , Kuching, Sarawak, Malaysia. pp. 1-6..

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Abstract

Managing a rapidly expanding amount of data involving Information Architecture has long been a goal in many Higher Education institutions. Many have long standing data warehouses and have used analytics tools. As the competition for gifted students becomes more intense while the cost of education makes the pool of potential students more limited, many institutions are taking another look at how they are analyzing potential students and managing the experience that students have while they are enrolled. Analytics play a critical role in performing a thorough analysis of student and learning data to make an informed decision on future course offerings and their mix to cater to the potential and existing students. Big Data systems position Information Technology to see the education becomes more holistically than any other areas for improving the decision making process. Predictive analytics and forecasting models in a Big Data environment enable institutions to make right investment decisions for higher institutional impact and also make the new very high knowledge environment.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Big Data, Education, Computational Intelligence
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Centre of Excellence: IBM Centre of Excellence
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 12 Sep 2018 07:50
Last Modified: 12 Sep 2018 07:50
URI: http://umpir.ump.edu.my/id/eprint/19904
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