In the information age, one of the most influential institutions is education. The recent emergence of MOOCS is a sample of the new expectations that are offered to university students. Basing decisions on data and evidence seems obvious, and indeed, research indicates that data-driven decision-making improves organizational productivity. The most dramatic factor shaping the future of higher education is Big Data and analytics. Big Data emphasizes that the data itself is a path to value generation in organizations and it is, also, a critical value for higher education institutions. The emerging practice of academic analytics is likely to become a new useful tool for a new era. Analytics and big data have a significant role to play in the future of higher education. This paper attempts an analytical practice about the use of e-learning technological tools to generate relevant information, for the teacher and the students who try to optimize their learning process. This combination of data-processing and analytical learning is an aid to improve significantly higher education and mark the path to follow in the new educational era.
Keywords
Learning Analytics
Big Data
Technological E-learning Tools
Learning Management System
Educational Data Mining.
Authors
Dr I. Lakshmi
How to Cite this Article
Dr I. Lakshmi (2016).
"A POTENTIAL WAY TO OPTIMIZE E-LEARNING TECHNOLOGICAL TOOLS USING BIG DATA & LEARNING ANALYTICS".
International Journal of Contemporary Research in Computer Science and Technology,
2(12), pp. 1114-1117.
