An enhanced framework to design intelligent course advisory systems using learning analytics

Title

An enhanced framework to design intelligent course advisory systems using learning analytics

Creator

Vaidhehi V.; Suchithra R.

Description

Education for a person plays an anchor role in shaping an individuals career. In order to achieve success in the academic path, care should be taken in choosing an appropriate course for the learners. This research work is based on the framework to design a course advisory system in an efficient way. The design approach is based on overlapping of learning analytics, academic analytics, and personalized systems. This approach provides an efficient way to build course advisory system. Also, mapping of course advisory systems into the reference model of learning analytics is discussed in this paper. Course advisory system is considered as enhanced personalized system. The challenges involved in the implementation of course advisory system is also elaborated in this paper. Springer Science+Business Media Singapore 2017.

Source

Advances in Intelligent Systems and Computing, Vol-468, pp. 723-732.

Date

2017-01-01

Publisher

Springer Verlag

Subject

Academic analytics; Framework; Learning analytics; Personalized system; Reference model

Coverage

Vaidhehi V., Department of Computer Science, Christ University, Bengaluru, Karnataka, India; Suchithra R., Department of Computer Science, Jain University, Bengaluru, Karnataka, India

Rights

Restricted Access

Relation

ISSN: 21945357; ISBN: 978-981101674-5

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-10-1675-2_71

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984833756&doi=10.1007%2f978-981-10-1675-2_71&partnerID=40&md5=addb4558cefc0cf7bba32b6ff1f42ac4