Learning Analytics: Online Higher Education in Management

DOI

10.2991/icmesd-18.2018.46How to use a DOI?

Keywords

Management, Online, Education, Learning, Analytics, Teaching

Abstract

Learning analytics are a set of methods and techniques that collect, process, inform and successfully produce machine-readable data continuously to analyze the educational process and allow taking improvement decisions. The research aim is to develop and verify an instrument, based on theoretical contributions accepted by the international community, can evaluate the quality of online higher education in management based on the Learning Analytics methods. The online teaching-learning model in management proposed that students’ actions focused on an educational activity should be in the central position. This online teaching-learning model in management have been proposed according five components: the management of the institution, the technological presence, the instructional design, the intra-psychological component and the inter-psychological or social component. Based on the Teaching and Learning in Online Education Institutions in Management has been created and provided an instrument that collects the dimensions, categories and variables of each component. The components analyzed show that the dimensions, categories and variables for each are adequate to support the analysis of online higher education institutions in management.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - M.Eulàlia Torras-virgili
AU  - Andreu Bellot-urbano
PY  - 2018/05
DA  - 2018/05
TI  - Learning Analytics: Online Higher Education in Management
BT  - Proceedings of the 4th Annual International Conference on Management, Economics and Social Development (ICMESD 2018)
PB  - Atlantis Press
SP  - 270
EP  - 276
SN  - 2352-5428
UR  - https://doi.org/10.2991/icmesd-18.2018.46
DO  - 10.2991/icmesd-18.2018.46
ID  - Torras-virgili2018/05
ER  -