Personalized Learning Environment in Higher Education through Big Data and Blended Learning Analytics
1ATulasi.B, Research Scholar, Department of Computer Science, JAIN (Deemed to be University), Bengaluru, India.
2Suchithra.R, Associate Professor Department of Computer Science, JAIN (Deemed to be University), Bengaluru, India.
Manuscript received on 13 August 2019. | Revised Manuscript received on 17 August 2019. | Manuscript published on 30 September 2019. | PP: 6236-6239 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5778098319/2019©BEIESP | DOI: 10.35940/ijrte.C5778.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Blended learning is seen as one of the effective ways of engaging learners in higher educational institutions. The e-learning platforms have further facilitated in adapting to learner centric approach of teaching learning. Analytics have played major role in revolutionizing various sectors including education. Blended learning analytics provides inferences which when utilized effectively by the educator and learner would enhance the teaching-learning experience. Huge amount of varied data is generated when learner and educator interact with e-learning platforms, this when coupled with other demographic information can be used to personalize the learning experience. This necessitates the need of a framework which can capture and use the digital data.
Keywords: Big Data, Blended Learning Analytics, Higher Education, Personalized Learning.
Scope of the Article: E-Learning