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Noroozi, Omid, Ed.; Sahin, Ismail, Ed. – International Society for Technology, Education, and Science, 2022
The aim of the International Society for Technology, Education, and Science (iHSES) conference is to offer opportunities to share ideas, discuss theoretical and practical issues, and connect with the leaders in the fields of "humanities," "education" and "social sciences." It is organized for: (1) faculty members in…
Descriptors: Flipped Classroom, Student Diversity, Student Experience, College Students
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Truman, Sylvia M.; Truman, Philip J. – British Journal of Educational Technology, 2006
The evolution of the World Wide Web has encouraged a huge surfacing of e-learning technologies over recent years. Often, such technology is rolled out devoid of consideration towards the way in which students process and assimilate information. To date, there exists inconclusive and contradictory evidence concerning learnability effects of single-…
Descriptors: Internet, Educational Environment, Computer Assisted Instruction, Learning Modalities
Helm, Hugh – 1985
In this survey, an attempt is made to summarize the perspective on so-called 'misconceptions' research of those whose work in this field has not been guided by learning theory. Following the terminology of Driver and Erickson (1983), this research is called 'problem-oriented' in this paper. Its epistemological assumptions and assumptions about…
Descriptors: Cognitive Development, Concept Formation, Educational Research, Elementary Secondary Education
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