Open Access
Issue |
SHS Web Conf.
Volume 37, 2017
ERPA International Congresses on Education 2017 (ERPA 2017)
|
|
---|---|---|
Article Number | 01011 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/shsconf/20173701011 | |
Published online | 14 August 2017 |
- Lopez, G. A., Builes, J. A., & Villamil, S. C. Overview of u-learning. Concepts, characteristics, uses, application scenarios and topics for research. IEEE Latin America Transactions, 14(12), 4792–4798., (2016). doi:10.1109/tla.2016.7817013 [CrossRef] [Google Scholar]
- Kim, Y., & Smith, D. Pedagogical and technological augmentation of mobile learning for young children interactive learning environments. Interactive Learning Environments, 25(1), 4–16., (2015). doi:10.1080/10494820.2015.1087411 [CrossRef] [Google Scholar]
- Meishar-Tal, H., & Pieterse, E. Why Do Academics Use Academic Social Networking Sites? The International Review of Research in Open and Distributed Learning, 18(1), 1–22., (2017). doi:10.19173/irrodl.v18i1.2643 [CrossRef] [Google Scholar]
- Reeves, T. Evaluating what really matters in computer-based education. Computer education: New perspectives, 219–246., (1994). [Google Scholar]
- Albertos-Marco, F., Penichet, V. M., & Gallud, J. A. Distributing Web Interaction: The Web Interaction Hub Capabilities. Proceedings of the XVII International Conference on Human Computer Interaction - Interacción 16, 37., (2016). doi:10.1145/2998626.2998654 [Google Scholar]
- Greenhow, C., Robelia, B., & Hughes, J. E. Learning, Teaching, and Scholarship in a Digital Age: Web 2.0 and Classroom Research: What Path Should We Take Now? Educational Researcher, 38(4), 246–259., (2009). doi:10.3102/0013189x09336671 [CrossRef] [Google Scholar]
- Mwalumbwe, I., & Mtebe, J. S. Using Learning Analytics to Predict Students’ Performance in Moodle Learning Management Systems: A case of Mbeya University of Science and Technology. The Electronic Journal of Information Systems in Developing Countries, 79(1), 1–13., (2017). [CrossRef] [Google Scholar]
- Umek, L., Keržič, D., Aristovnik, A., & Tomaževič, N. An assessment of the effectiveness of Moodle e-learning system for undergraduate public administration education. International Journal of Innovation and Learning, 21(2), 165–177., (2017). doi:10.1504/IJIL.2017.081939 [CrossRef] [Google Scholar]
- Clawson, S. L. Does quality matter? Measuring whether online course quality standards are predictive of student satisfaction in higher education (Doctoral dissertation, Capella University), (2007). [Google Scholar]
- Smeureanu, I., & Isaila, N. Information technology, support for innovation in education sciences. Procedia - Social and Behavioral Sciences, 15, 751–755., (2011). doi:10.1016/j.sbspro.2011.03.177 [CrossRef] [Google Scholar]
- Nazarova, O., Maslennikova, O., Davletkireeva, L., & Novikova, T. Modeling and factor analysis of efficient increase of bachelors and masters’ training connected with applied informatics. ARPN Journal Of Engineering And Applied Sciences, 11(3), 2030–2036., (2016). [Google Scholar]
- Maldague, X., Kuimova, M., Burleigh, D., & Skvortsova, S. Information and Communication Technologies in Engineering Education. MATEC Web of Conferences, 79, 01044., (2016). [CrossRef] [EDP Sciences] [Google Scholar]
- Busstra, M. C., Hulshof, P. J., Houwen, J., Elburg, L., & Hollman, P. C. Nutrient analysis explained for non-chemists by using interactive e-learning material. Journal of Food Composition and Analysis, 25(1), 88–95., (2012). doi:10.1016/j.jfca.2011.07.003 [CrossRef] [Google Scholar]
- Luchaninov, D.V., Bazhenov, R. I., Shtepa, Y. P., Kazinets, V. A., & Ledovskikh, I. A. Student Information Competence under Conditions of the Realization of Interactive Pedagogical Interaction. Global Media Journal, (S2), 1–7., (2016). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.