
Personalized Learning Environment in Higher Education through Big Data and Blended Learning Analytics
Author(s) -
Tulasi. B*,
R Suchithra
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5778.098319
Subject(s) - learning analytics , blended learning , personalized learning , computer science , analytics , big data , educational technology , data science , synchronous learning , open learning , knowledge management , multimedia , teaching method , mathematics education , cooperative learning , psychology , operating system
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.