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Singh, Jitendra – Quality Assurance in Education: An International Perspective, 2019
Purpose: The purpose of this paper is to describe how lean management principles can be used in teaching and learning processes while preparing classes for non-traditional adult learners (NALs). Careful planning and the application of lean methods can result in NALs' enhanced engagement and success at academic institutions.…
Descriptors: Nontraditional Students, Adult Students, Curriculum Design, Administration
Hack, Catherine Jane – Interactive Learning Environments, 2016
Using the delivery of a large postgraduate distance learning module in bioethics to health professionals as an illustrative example, the type of learning activity that could be enhanced through delivery in an immersive virtual world (IVW) was explored. Several activities were repurposed from the "traditional" virtual learning environment…
Descriptors: Educational Technology, Technology Uses in Education, Graduate Study, Distance Education
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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