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Yorek, Nurettin; Ugulu, Ilker – Educational Research and Reviews, 2015
In this study, artificial neural networks are suggested as a model that can be "trained" to yield qualitative results out of a huge amount of categorical data. It can be said that this is a new approach applied in educational qualitative data analysis. In this direction, a cascade-forward back-propagation neural network (CFBPN) model was…
Descriptors: Student Attitudes, Classification, Qualitative Research, Networks
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Mikalef, Patrick; Pappas, Ilias O.; Giannakos, Michail – International Journal of Information and Learning Technology, 2016
Purpose: Video-based learning (VBL) is gaining increased attention as an educational means in settings such as the flipped classroom and massive open online courses. The value of VBL has been recognized in a range of contexts due to the ability to extend opportunities for life-long education for all socio-economic levels, removing geographical…
Descriptors: Video Technology, Self Efficacy, Student Surveys, Student Attitudes
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Sutton, Anna; Taylor, David; Johnston, Carol – Journal of Further and Higher Education, 2014
A clear understanding of how students view plagiarism is needed if the extensive efforts devoted to helping them engage in high-quality scholarship are to be worthwhile. There are a variety of views on this topic, but theoretical models to integrate the literature, take account of international differences and guide practitioners are limited.…
Descriptors: Plagiarism, Familiarity, Models, Questionnaires