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Martins, Jorge; Nunes, Miguel Baptista – International Journal of Educational Management, 2016
Purpose: The purpose of this paper is to present the results of an exploratory study that investigates Portuguese academics' conceptions concerning the temporal properties of e-learning, in the context of traditional Higher Education Institutions. Design/methodology/approach: Grounded Theory methodology was used to systematically analyse data…
Descriptors: College Faculty, Teacher Attitudes, Coding, Grounded Theory
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Wu, Yen-Chun Jim; Shen, Ju-Peng; Kuo, Tsuang – International Journal of Sustainability in Higher Education, 2015
Purpose: This paper aims to explore the holistic picture of sustainability curricula in Asian higher education. Design/methodology/approach: Content analysis was conducted based on Asian management education for sustainability in higher education. Online courses arrangement, teaching methods, instructors' educational background and…
Descriptors: Sustainability, Higher Education, Content Analysis, Administrator Education
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection