Approach for using Learner Satisfaction to Evaluate the Learning Adaptation Policy

The learning adaptation is a very important phase in a learning situation in human learning environments. This paper presents the authors' approach used to evaluate the effectiveness of learning adaptive systems. This approach is based on the analysis of learner satisfaction notices collected b...

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Bibliographic Details
Published in:International journal of distance education technologies 2016-10, Vol.14 (4), p.1-12
Main Authors: Jeghal, Adil, Oughdir, Lahcen, Tairi, Hamid, Radouane, Abdelhay
Format: Article
Language:English
Subjects:
Adaptation
Adaptive systems
Algorithms
Analysis
Clustering
Data Collection
Distance education
Educational Environment
Educational Technology
Electronic Learning
Evaluation Methods
Learning
Machine learning
Noise
Online education
Policies
Program Effectiveness
Questionnaires
Space density
Student Satisfaction
System effectiveness
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Summary:The learning adaptation is a very important phase in a learning situation in human learning environments. This paper presents the authors' approach used to evaluate the effectiveness of learning adaptive systems. This approach is based on the analysis of learner satisfaction notices collected by a questionnaire on a learning situation; to analyze the data the authors will use the space Density-based clustering algorithm of clustering applications with noise. This proposed approach aims to help managers of human learning environments to improve policy used in the learning adaptation phase for learners from the analysis results of collected data.
ISSN:1539-3100
1539-3119
DOI:10.4018/IJDET.2016100101