Intelligent Course Recommendation for Higher Education based on Learner Proficiency

Title

Intelligent Course Recommendation for Higher Education based on Learner Proficiency

Creator

Vinay M.; Jayapriya J.

Description

A course recommendation provides valuable guidance and support to learners navigating their educational and career journeys. Artificial Intelligence paves the way for recommending higher education courses. In this article, a framework is proposed that uses different features like learners' interest, their past performance and mainly their family talent history. This framework emphasizes the Intelligence Robotic Course Recommendation System. The system is very helpful for the learner who don't have that much of an explorer of the current trends happening in the world. When the learners similarity knowledge interest is known with respect to real-world needs, the perfect higher education is suggested for them. This paper shows that the framework gives better results when using with artificial intelligence algorithms. 2023 IEEE.

Source

2023 International Conference on Computer, Electronics and Electrical Engineering and their Applications, IC2E3 2023

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Course recommendation; framework; Higher education Guide; Robotic System

Coverage

Vinay M., Christ (Deemed to Be University), Department of Computer Science, Karnataka, Bangalore, India; Jayapriya J., Christ (Deemed to Be University), Department of Computer Science, Karnataka, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835033800-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/IC2E357697.2023.10262655

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174497421&doi=10.1109%2fIC2E357697.2023.10262655&partnerID=40&md5=a1f7e5aae0d3ca1a1a7fb3a6bd8f2014