AI in e-learning

Title

AI in e-learning

Creator

Sinha M.; Fukey L.N.; Sinha A.

Description

This current research chapter focuses on the different areas of e-learning where AI can be implemented to make e-learning a better experience. E-learning is a 24/7 platform where learners can gain knowledge at the convenience of their home and timeframe. AI can help such learners with different adaptive technologies in clarifying the doubt, identifying the problem area of the learner and providing them a customized learning solution. Adaptive learning suggested that the learning pace is different for different learners. It must be made sure that the educational supplies and amenities provided must fit the requirement of each learner; else, it will lose its essence. There are different AI features to enhance the learning experience of e-learning. The providers must keep this in mind that the acquired information about learners must be wisely used while implementing the AI technology to e-learning mode so that the blended model can provide an enriching experience to the end-user. Cognitive learning can be a key to constructive, collaborative and contextualized execution of AI-enabled learning processes. Maximization of AI effectiveness as a tool of e-learning can be brought only when it is implemented to overall program pedagogy and is monitored for continuous improvement. The Institution of Engineering and Technology 2021.

Source

E-learning Methodologies: Fundamentals, technologies and applications, pp. 107-131.

Date

2021-01-01

Publisher

Institution of Engineering and Technology

Coverage

Sinha M., CHRIST (Deemed to be University), Bengaluru, India; Fukey L.N., CHRIST (Deemed to be University), Bengaluru, India; Sinha A., Robonomics AI India Pvt Ltd, Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 978-183953120-0

Format

Online

Language

English

Type

Book chapter

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114569180&partnerID=40&md5=e2a9999b74715cc10336e52f159342eb