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Green, Teegan – Marketing Education Review, 2015
Flipped classrooms reverse traditional lecturing because students learn content before class through readings and prerecorded videos, freeing lectures for hands-on activities and discussion. However, there is a dearth of literature in marketing education addressing flipped classrooms. This article fills this void using grounded theory to develop a…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Video Technology
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
Schell, Robyn; Kaufman, David – Journal of Educational Computing Research, 2009
The web has the potential to offer an environment that can support standardized medical education to students dispersed in time or place and, in the process, respond to reduced availability of patients for practice. This exploratory article describes how we evaluated critical thinking in an online collaborative Problem-based Learning (PBL)…
Descriptors: Medical Education, Problem Based Learning, Patients, Critical Thinking
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