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A robust classification to predict learning styles in adaptive E-learning systems · Study

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ArticleA robust classification to predict learning styles in adaptive E-learning systems

Ibtissam Azzi2019

Article2019

A robust classification to predict learning styles in adaptive E-learning systems

Ibtissam Azzi · Adil Jeghal · Abdelhay Radouane · Ali Yahyaouy · Hamid Tairi

101 citations·0/0 files stored·Education and Information Technologies

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Learning Styles and Cognitive Differences Online Learning and Analytics Intelligent Tutoring Systems and Adaptive Learning

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References

1983Experiential Learning : Experience as the Source of Learning and Development 1984Frames of Mind: The Theory of Multiple Intelligences 1987Student Approaches to Learning and Studying 2005Applications, Reliability and Validity of the Index of Learning Styles*2004Should we be using Learning Styles? What research has to say to practice 2006Learning styles' recognition in e‐learning environments with feed‐forward neural networks 2014Automatic detection of learning styles: state of the art 2007Adaptivity in learning management systems focussing on learning styles

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2022Simulations to Teach Science Subjects: Connections Among Students’ Engagement, Self-Confidence, Satisfaction, and Learning Styles 2021Differentiating the learning styles of college students in different disciplines in a college English blended learning setting

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Year2019

Typearticle

Published2019-08-02

VenueEducation and Information Technologies

ISSN-L1360-2357

Languageen

Citations101

Files0 public / 0

ShelfLearning Styles and Cognitive Differences

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doi10.1007/s10639-019-09956-6

openalex_workW2965526233

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