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Otto, Siegmar; Körner, Franziska; Marschke, Beatrice A.; Merten, Martin J.; Brandt, Steffen; Sotiriou, Sofoklis; Bogner, Franz X. – International Journal of Science Education, 2020
For scholars and policy-makers alike, deeper learning has been a promising paradigm for fostering students' interest in and mastery of science, technology, engineering, and mathematics (STEM). Deeper learning is assumed to result in a more thorough understanding of a subject that endures the test of time. To reach this level, a fascination with…
Descriptors: Science Education, Grade 6, STEM Education, Learning Processes
Colette, Andreucci; Marjolaine, Chatoney – International Journal of Technology and Design Education, 2017
Many studies have shown the importance of the socio-cultural factors that lead girls to desert scientific and technological courses. Over a long period, the contents of the French technology education (TE) college curricula may well have contributed to strengthening the feeling among girls that this discipline was better suited to boys. The choice…
Descriptors: Foreign Countries, Gender Bias, Technology Education, Instructional Material Evaluation
Pracana, Clara, Ed. – Online Submission, 2014
We are delighted to welcome you to the International Psychological Applications Conference and Trends 2014, taking place in Porto, Portugal, from 4 to 6 of April. Psychology, in our time, offers a large range of scientific fields where it can be applied. The goal of understanding individuals and groups (mental functions and behavioral…
Descriptors: Educational Psychology, Foreign Countries, Intervention, Prevention
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