Analytics in e-learning

Title

Analytics in e-learning

Creator

Tom S.T.; Tulasi B.

Description

Predictive analytics play an important role in the evolving dynamics of higher education. There has been a steady up rise in use of technology in the field of education. e-learning is seen as a futuristic approach of learning. Hence, the study of factors influencing success in e-learning courses is relevant to the current scenario. Use of predictive analytics in virtual learning environment would provide insight on learning patterns of students. The learning data available in the traditional teaching environment is different from the one, which is available from virtual learning. This paper tries to identify various attributes associated with e learning which can help in making the learning process effectual. International Research Publication House.

Source

International Journal of Engineering Research and Technology, Vol-11, No. 2, pp. 319-332.

Date

2018-01-01

Publisher

International Research Publication House

Subject

Data analytics; E learning; Higher education; Predictive analytics; Principle component analysis (PCA)

Coverage

Tom S.T., Department of Computer Science, CHRIST (Deemed to be University, Bengaluru, Karnataka, India; Tulasi B., Department of Computer Science, CHRIST (Deemed to be University, Bengaluru, Karnataka, India

Rights

Restricted Access

Relation

ISSN: 9743154

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051054879&partnerID=40&md5=e6addb6ede1ddb7dff40cc6a099737b3