Development of Adaptive Social Network Based on Learners' Thinking and Learning Styles

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Author(s): Mahnane Lamia (LRS Laboratory, University of Badji Mokhtar, Algeria)and Hafidi Mohamed (LRS Laboratory, University Badji Mokhtar, Algeria)
Copyright: 2018
Pages: 18
Source title: Handbook of Research on Contemporary Perspectives on Web-Based Systems
Source Author(s)/Editor(s): Atilla Elçi (Hasan Kalyoncu University, Turkey)
DOI: 10.4018/978-1-5225-5384-7.ch005

Keywords: Computer Science & IT / Information Science Reference / Systems and Software Engineering / Web Technologies & Engineering

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Abstract

Adaptive social network sites (ASNS) are an innovative approach to a web learning experience delivery. They try to solve the main shortcomings of classical social networks—“one-size-fits-all” approach and “lost-in-hyperspace” phenomena—by adapting the learning content and its presentation to needs, goals, thinking styles, and learning styles of every individual learner. This chapter outlines a new approach to automatically detect learners' thinking and learning styles, and takes into account that thinking and learning styles may change during the learning process in unexpected and unpredictable ways. The approach is based on the Felder learning styles model and Hermann thinking styles model.

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Development of Adaptive Social Network Based on Learners' Thinking and Learning Styles

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