Open AccessA Comprehensive Framework for Adaptive E-Learning Management System
Author(s) -
Shinoj Robert,
M. Maria Dominic,
Marie-Pierre Robert,
B Sc
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7824.129219
Subject(s) - personalization , computer science , adaptation (eye) , adaptive learning , learning styles , process (computing) , active learning (machine learning) , path (computing) , robot learning , style (visual arts) , artificial intelligence , synchronous learning , personalized learning , human–computer interaction , proactive learning , dimension (graph theory) , machine learning , open learning , cooperative learning , mathematics education , teaching method , world wide web , psychology , mathematics , archaeology , mobile robot , neuroscience , pure mathematics , robot , history , programming language , operating system
The various e-Learning systems in recent times found to be ineffective in directing the individual learning style with the preferred learning abilities. Focusing on this inadequacy, this paper proposes a comprehensive study from the different styles on the existing frameworks engaging an adaptive learning algorithm that applies a data stream technique using Machine Learning for a better learning path. The adaptation process insists or allow the user to modify the parameters and to adapt the behaviour according to the system assumption. When the system adapts to a personal concept and responds, it is said to be a personalized process. This concentrate and generates more ideas and style towards student-centric learning and creating a new learning path for an individual or group of learners. This generic framework is grounded on four-dimension. This framework tailors the learning style according to the individual learning types by creating a specific learning objective by incorporating learning modules, personalization and learner Noesis with technologies