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Bowen, Bradley; DeLuca, William – Journal of STEM Education: Innovations and Research, 2015
Many engineering and technology education classrooms incorporate simulation modeling as part of curricula to teach engineering and STEM-based concepts. The traditional method of the learning process has students first learn the content from the classroom teacher and then may have the opportunity to apply the learned content through simulation…
Descriptors: Sequential Approach, Conventional Instruction, Teaching Methods, Intermode Differences
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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Lowes, Susan; Lin, Peiyi; Wang, Yan – Journal of Interactive Online Learning, 2007
As online professional development courses for teachers have grown, the discussion forum has become a locus of considerable research. This study analyzes the discussion forums in four different sessions of a short (4-week) online course for teachers from six schools in three states. This study also compares four methodologies, all of which have a…
Descriptors: Faculty Development, Online Courses, Program Effectiveness, Computer Mediated Communication
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