XEL Group Learning – A Socio-technical Framework for Self-regulated Learning

Shereif Eid, Gábor Kismihók

2020

Abstract

We describe XEL-Group Learning, a socio-technical framework for socially oriented e-learning. The aim of the presented framework is to address the lack of holistic pedagogical solutions that take into account motivational theories, socio–technical factors, and cultural elements in social learning networks. The presented framework provides initiatives for collaboration by providing a dynamic psycho-pedagogical recommendation mechanism with validation properties. In this paper, we begin by highlighting the socio-technical concept associated with socially-oriented e-learning. Next, we describe XEL-GL’s main mechanisms such as group formation and the semantic matching framework. Moreover, through semantic similarity measurements, we show how cultural elements, such as the learning subject, can enhance the quality of recommendations by allowing for more accurate predictions of friends networks.

Paper Citation

in Harvard Style

Eid S. and Kismihók G. (2020). XEL Group Learning – A Socio-technical Framework for Self-regulated Learning.In Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-417-6, pages 344-351. DOI: 10.5220/0009418303440351

in Bibtex Style

@conference{csedu20,
author={Shereif Eid and Gábor Kismihók},
title={XEL Group Learning – A Socio-technical Framework for Self-regulated Learning},
booktitle={Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2020},
pages={344-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009418303440351},
isbn={978-989-758-417-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - XEL Group Learning – A Socio-technical Framework for Self-regulated Learning
SN - 978-989-758-417-6
AU - Eid S.
AU - Kismihók G.
PY - 2020
SP - 344
EP - 351
DO - 10.5220/0009418303440351