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Lee, Jihyun; Lim, Cheolil; Kim, Hyeonsu – Educational Technology Research and Development, 2017
In response to pedagogical challenges in higher education, blended learning has become a prevalent practice in colleges and universities. Flipped learning (FL) represents a newly emerging form of blended learning, where students individually watch online lectures prior to class and then engage in classroom learning activities interacting with…
Descriptors: Instructional Development, Instructional Design, Models, Blended Learning
Williams, Kimberly Gail – ProQuest LLC, 2012
Changing demographics, student diversity, and increased accountability have compelled educators to challenge the uniform constraints of traditional instruction and create an environment focused on individual achievement. Differentiated instruction empowers teachers to target multiple learning styles through varied themes, adapted content delivery,…
Descriptors: Individualized Instruction, Quasiexperimental Design, Instructional Effectiveness, Statistical Analysis

Hambleton, Ian R.; Foster, William H.; Richardson, John T. E. – Higher Education, 1998
College mathematics and computer science students in two math courses (conventional lecture-based, and a multimedia variant of the Personalized System of Instruction) completed the Approaches to Studying Inventory. Students in the latter course obtained higher scores on meaning orientation. The effect was significant in computer-science students,…
Descriptors: Classroom Techniques, College Instruction, College Mathematics, College Students
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