book chapter · Studies in health technology and informatics · 2013
The e-learning programmes in Greek Universities: A literature review
Spyros Zogas, Paschalina Lialiou, Parisis Gallos, John Mantas
Cited by 1Abstract and details only
Abstract
This paper presents an on-line research in Greek universities websites and an international literature review on electronic learning in the field of Health Informatics. The results reveal that there are a lot of e-learning programs offered by universities in Greece, but unfortunately none of them related to Health Informatics domain. On the other hand, the finding of the international literature shows that other European universities conduct e-learning studies in Health Informatics field. Future actions for the enrichment of e-learning service in Greek Health Informatics education are necessary.
Cite this paper
Zogas, S., Lialiou, P., Gallos, P., & Mantas, J. (2013). The e-learning programmes in Greek Universities: A literature review. Studies in health technology and informatics, 190, 89–91. https://doi.org/10.3233/978-1-61499-276-9-89
Zogas, Spyros, et al. “The e-learning programmes in Greek Universities: A literature review.” Studies in health technology and informatics, vol. 190, 2013, pp. 89–91, https://doi.org/10.3233/978-1-61499-276-9-89.
Zogas, Spyros, Paschalina Lialiou, Parisis Gallos, and John Mantas. 2013. “The e-learning programmes in Greek Universities: A literature review.” Studies in health technology and informatics 190: 89–91. https://doi.org/10.3233/978-1-61499-276-9-89.
Zogas, S. et al. (2013) ‘The e-learning programmes in Greek Universities: A literature review’, Studies in health technology and informatics, 190, pp. 89–91. Available at: https://doi.org/10.3233/978-1-61499-276-9-89.
@incollection{zogas2013learning,
title = {{The e-learning programmes in Greek Universities: A literature review}},
author = {Zogas, Spyros and Lialiou, Paschalina and Gallos, Parisis and Mantas, John},
booktitle = {Studies in health technology and informatics},
volume = {190},
pages = {89--91},
year = {2013},
doi = {10.3233/978-1-61499-276-9-89}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.