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.
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Safsouf, Y., Mansouri, K., Poirier, F. (2019). A New Model of Learner Experience in Online Learning Environments. In: Rocha, Á., Serrhini, M. (eds) Information Systems and Technologies to Support Learning. EMENA-ISTL 2018. Smart Innovation, Systems and Technologies, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-030-03577-8_4
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DOI: https://doi.org/10.1007/978-3-030-03577-8_4
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