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Hurst, Glenn A. – Journal of Chemical Education, 2020
The Group Exercises is a distinctive collaborative group working activity completed by approximately 170 second-year undergraduate chemistry students each year in June. The activity comprises students working in randomly allocated teams of 4-6 members to complete a structured learning package to solve chemistry problems with industrial relevance…
Descriptors: Computer Mediated Communication, Cooperative Learning, Large Group Instruction, Learning Activities
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Akcaoglu, Mete; Lee, Eunbae – International Review of Research in Open and Distributed Learning, 2016
Social presence is difficult to achieve, but an imperative component of online learning. In this study, we investigated the effect of group size on students' perceptions of social presence in two graduate-level online courses, comparing small group versus whole class discussions. Our results indicated that when in small group discussions, students…
Descriptors: Graduate Students, Online Courses, Electronic Learning, Small Group Instruction
Twigg, Carol A. – Journal of Asynchronous Learning Networks, 2009
In addition to experiencing the generic quality and cost problems faced by all colleges and universities, community colleges face problems particular to their student populations. They need to design more flexible schedules for working adult students, create a greater sense of community or engagement for commuting students, address the special…
Descriptors: Nontraditional Students, Commuting Students, Community Colleges, Educational Strategies
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