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Guthrie, Cameron – Journal of Information Systems Education, 2010
Project-based learning has been suggested as an appropriate pedagogy to prepare students in information systems for the realities of the business world. Web-based resources have been used to support such pedagogy with mixed results. The paper argues that the design of web-based learning support to cater to different learning styles may give…
Descriptors: Student Projects, Computer Assisted Instruction, Active Learning, Information Systems
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Gavidia, Jose V.; Mogollon, Ricardo Hernandez; Baena, Cesar – Journal of Teaching in International Business, 2004
Given the growing use of virtual interaction in international business activities, business schools must provide students with experiential learning opportunities that prepare them to work in virtual organizations. This paper uses multiple case study methodology with analysis at the transaction level to analyze the dynamics of the virtual teams,…
Descriptors: International Trade, Experiential Learning, Teamwork, Virtual Classrooms
Iwamura, Susan Grohs – 1986
Student experiences in an exchange program linking the University of Hawaii and the Graduate School of Business in Lyon, France illustrate the positive impact of foreign internships. The students were enrolled in internship programs in travel industry management. The reports written by the students reveal that the experiences have affected the…
Descriptors: Business Administration Education, Case Studies, College Second Language Programs, College Students
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