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Authors: Elias Gounopoulos 1 ; Stavros Valsamidis 2 ; Ioannis Kazanidis 2 and Sotirios Kontogiannis 3

Affiliations: 1 TEI of West Macedonia, Greece ; 2 TEI of East Macedonia and Thrace, Greece ; 3 University of Ioannina, Greece

ISBN: 978-989-758-239-4

Keyword(s): e-Learning, Reach, Richness, Information Density, Indexes and Metrics.

Abstract: People’ s educational needs and requirements change. At the same time, educational technologies and tools also evolve. Therefore, contemporary educational methods are obliged to adapt to both. E-learning is the mode of learning which serves the former while exploits the latter. As e-learning capabilities are moving into the third decade of their implementation (Kulik et al., 1990), the necessity of thorough assessment is imminent. Moreover, the adoption to e-learning of assessment features which were successfully used by e-commerce is also a challenging issue. In this study, a novel approach is presented and put to test. The approach tries to utilize applicable features of e-commerce technology to e-learning in an effort to measure usage, user trends and knowledge affiliations. To the extent, some already tested indexes and metrics are used for the quantification of qualitative features of e-learning. These indexes and metrics contribute to the assessment of both educational content exposed by the educators and content usage by the learners. In this paper the identified features are classified. Finally, an experimental case scenario that took place in a Greek university e-learning platform is presented. From the revealed results there is evidence that these corresponding to features variables can be used for the measurement of reach, richness and information density of an e-learning platform system. (More)

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Paper citation in several formats:
Gounopoulos, E.; Valsamidis, S.; Kazanidis, I. and Kontogiannis, S. (2017). Mapping and Identifying Features of e-Learning Technology through Indexes and Metrics.In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: A2E, ISBN 978-989-758-239-4, pages 649-655. DOI: 10.5220/0006399606490655

@conference{a2e17,
author={Elias Gounopoulos. and Stavros Valsamidis. and Ioannis Kazanidis. and Sotirios Kontogiannis.},
title={Mapping and Identifying Features of e-Learning Technology through Indexes and Metrics},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: A2E,},
year={2017},
pages={649-655},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006399606490655},
isbn={978-989-758-239-4},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: A2E,
TI - Mapping and Identifying Features of e-Learning Technology through Indexes and Metrics
SN - 978-989-758-239-4
AU - Gounopoulos, E.
AU - Valsamidis, S.
AU - Kazanidis, I.
AU - Kontogiannis, S.
PY - 2017
SP - 649
EP - 655
DO - 10.5220/0006399606490655

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