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Stegmann, Karsten – Frontline Learning Research, 2014
Due to the nature of collaborative learning, realising perfectly controlled experiments often requires an unreasonable amount of resources and sometimes it is not possible at all. Against this background, I propose to augment as good as feasible experimental design with a nomological net of relations between instructional support (intervention),…
Descriptors: Computer Uses in Education, Cooperative Learning, Research Design, Construct Validity
Facca-Miess, Tina M. – Marketing Education Review, 2015
Marketing graduates are ultimately expected to perform in managerial roles, yet limited course work is devoted to leadership training for marketing management. In the capstone marketing course, group projects with partner organizations can serve as an opportunity for student leadership development. Marketing students working in groups on…
Descriptors: College Students, Business Administration Education, Marketing, Leadership Training
Schellens, Tammy; Valcke, Martin – Computers and Education, 2006
Does collaborative learning in asynchronous discussion groups result in enhancing academic discourse and knowledge construction? This general research question has been researched in a study involving 300 students, working during six months in 38 electronic discussion groups. The transcripts of the discussions were coded and analysed to test…
Descriptors: Computer Mediated Communication, Teleconferencing, College Students, Discussion Groups
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