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Salar, Riza; Turgut, Umit – Science Education International, 2021
The learning characteristics of each student are different. Differentiated instruction considers individual differences, as such guides the learning journey rather than seeing these differences as a challenge. The purpose of this research was to compare the effects of differentiated instruction and 5E learning cycle in physics classes on the…
Descriptors: Physics, Science Instruction, Science Achievement, Pretests Posttests
Kalloo, Vani; Mohan, Permanand – Journal of Computers in Mathematics and Science Teaching, 2015
This paper investigates the potential benefits of personalization in a mobile learning environment for high school students learning mathematics. Personalization was expected to benefit the students in two main ways. These are improving their performance in mathematics and making navigation of the application easier. Personalization was…
Descriptors: Telecommunications, Educational Technology, Technology Uses in Education, High School Students
Swab, A. Geoffrey – ProQuest LLC, 2012
This study of cooperative learning in post-secondary engineering education investigated achievement of engineering students enrolled in two intact sections of a computer-aided drafting (CAD) course. Quasi-experimental and qualitative methods were employed in comparing student achievement resulting from out-of-class cooperative and individualistic…
Descriptors: Engineering Education, Postsecondary Education, Cooperative Learning, Academic Achievement
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

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