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A New Model of Learner Experience in Online Learning Environments

  • Yassine Safsouf
  • Khalifa Mansouri
  • Franck Poirier
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 111)

Abstract

The flexibility, availability and functionality of online learning environments (OLEs) open up new possibilities for classroom teaching. However, although these environments are becoming increasingly popular, many users stop learning online after their initial experience. This paper aims to develop a new multi-dimensional research model allowing to categorize and to identify the factors that could affect the learning experience (LX) in order to decrease the failure and dropout rate in OLEs. This new model is based on the combination of the major models of user satisfaction and continuity of use (ECM, TAM3, D&M ISS, SRL). The proposed research model consists of 38 factors classified according to 5 dimensions: learner characteristics, instructor characteristics, system characteristics, course characteristics and social aspects.

Keywords

Continuance of use intention Learner experience Learner satisfaction Learner success Online learning environments 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Lab-STICCUniversity Bretagne SudLorientFrance
  2. 2.Laboratory SSDIA, ENSET of MohammediaUniversity Hassan II of CasablancaCasablancaMorocco

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