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Breidbach, Stephan, Ed.; Viebrock, Britta, Ed. – Peter Lang Publishing Group, 2013
Content and Language Integrated Learning has received a strong tailwind in European educational and language policies. It is on the verge of becoming a mainstream phenomenon. However, an overly speedy implementation of "CLIL for all" might bear a number of risks for all groups of stakeholders. The purpose of this book is to link the…
Descriptors: Foreign Countries, Multilingualism, Bilingualism, Bilingual Education
Venturini, Patrice – International Journal of Science Education, 2007
The issue of students' engagement in learning physics has generally been analysed in science education research using attitudes towards science, or motivation to learn science. However, the corresponding studies have their limitations. Therefore, the object of this paper is to present and to analyse an alternative to these theoretical approaches;…
Descriptors: Physics, Learning Motivation, Science Education, Educational Research
Griffin, Linda L.; Brooker, Ross; Patton, Kevin – Physical Education and Sport Pedagogy, 2005
Time and acceptance are criterion often used to measure the legitimacy and worth of an idea. Two decades have passed since the first publications that introduced Teaching Games for Understanding (TGfU) as a means to conceptualize games teaching and learning. For over two decades various professionals have advocated for TGfU as a sound idea, which…
Descriptors: Learning Theories, Research Needs, Information Processing, Teaching Methods
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