Work

A Review: Artificial Intelligent Approach for Enhancing Adaptability in an Adaptive E-Learning Environment

Year: 2021

Type: article

Abstract: Adaptive e-learning the aim is to fill the gap between the pupil and the educator by discussing the needs and skills of individual learners. Artificial intelligence strategies that have the potential to simulate human decision-making processes are important around adaptive e-Learning. This paper explores the Artificial techniques; Fuzzy Logic, Neural Networks, Bayesian Networks and Genetic Algorithms, highlighting their contributions to the notion of the adaptability in the sense of Adaptive E-learning. The implementation of Artificial Neural Networks to resolve problems in the current Adaptive e-learning frameworks have been established.

Source: International Journal of Engineering and Advanced Technology

DOI: 10.35940/ijeat.d2297.0410421

Author: M.P.L. Perera

Institution: University of Kelaniya

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4237878561

FWCI:

Cites: 37

Cited by: 2

Related to: 10