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Bires, Nancy K. – ProQuest LLC, 2013
There have been a limited number of studies on the short-term influence of environmental and earth education programs, however, not much information is available about the long-term influence of these programs on participants' environmental attitudes and actions. This mixed methods study explores the long-term influence of the earth education…
Descriptors: Earth Science, Environmental Education, Science Education, Mixed Methods Research
Khunyakari, Ritesh P. – Contemporary Education Dialogue, 2015
Enabling learning through meaningful classroom experiences has always been a challenge for teachers. Bringing about a balance of the "conceptual" and the "hands-on", along with contextual embeddedness in problem-solving situations, broadly characterises the experience of development and trials of three Design and Technology…
Descriptors: Foreign Countries, Middle School Students, Experiential Learning, Problem Solving
Hung, Pi-Hsia; Hwang, Gwo-Jen; Lee, Yueh-Hsun; Wu, Tsung-Hsun; Vogel, Bahtijar; Milrad, Marcelo; Johansson, Emil – Educational Technology & Society, 2014
The purpose of this study is to investigate the effects of a ubiquitous problem-based learning system (UPBLS) on students' question-raising performance in field inquiry activities. An experiment was conducted on an elementary school natural science course. A total of 43 sixth and fifth grade elementary students divided into experienced and…
Descriptors: Problem Based Learning, Electronic Learning, Elementary School Science, Elementary School 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

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