JOURNAL ARTICLE

Adaptive e-learning system using hybrid approach

Abstract

E-learning applications must be designed so as to cater the different needs of learners as each learner learns differently. An E-learning system is proposed which is hybrid in nature since it would facilitate different modes for content delivery matching with learner's personality based on the Myers-Briggs Type Indicator (MBTI) and the different levels of learning required by the learner based on revised Bloom's Taxonomy. The learner's profile is initialized according to the results obtained by the learner in questionnaire which determines the learner's personality type and dominant personality type. Once a learner chooses a course to learn and selects its learning level, a quiz on the learner's chosen topic is taken. A quiz after the completion of E-learning course would be taken to examine the improvement in learning capabilities of the learner.

Keywords:
Computer science Personality Matching (statistics) Adaptive learning Personality type Artificial intelligence Multimedia Human–computer interaction Psychology

Metrics

4
Cited By
0.56
FWCI (Field Weighted Citation Impact)
6
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Intelligent Tutoring Systems and Adaptive Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
Online Learning and Analytics
Physical Sciences →  Computer Science →  Computer Science Applications
Bayesian Modeling and Causal Inference
Physical Sciences →  Computer Science →  Artificial Intelligence
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