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Çakiroglu, Ünal; Güven, Onurhan; Saylan, Esin – Educational Technology Research and Development, 2020
This paper reports on a study aiming at examining the development of science process skills through the implementation of experiments in a science course which was performed in flipped classroom design. Flipped classroom model was implemented for a series of experimentation activities in a science classroom in which 38 science teacher candidates…
Descriptors: Science Experiments, Science Process Skills, Blended Learning, Science Teachers
Stewart, Jaclyn J.; Dake, Gregory R. – Journal of Chemical Education, 2019
A pedagogical technique, named the Bridge activity, has been developed to assist students' transition from preclass preparation to in-class learning within a flipped organic chemistry course. Bridge activities form the basis of an initial interactive discussion to activate students' prior knowledge and encourage meaningful learning. This paper…
Descriptors: Teaching Methods, Blended Learning, Science Instruction, Organic Chemistry
Azzawi, May; Dawson, Maureen M. – Bioscience Education e-Journal, 2007
The effectiveness of lecture-integrated and web-supported case studies in supporting a large and academically diverse group of undergraduate students was evaluated in the present study. Case studies and resource (web)-based learning were incorporated as two complementary interactive learning strategies into the traditional curriculum. A truncated…
Descriptors: Undergraduate Students, Science Achievement, Learning Strategies, Prior Learning
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