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Kääntä, Leila; Kasper, Gabriele – Classroom Discourse, 2018
Using multimodal conversation analysis, this article examines how students strive to resolve non-understandings through requests for clarification during teacher-fronted physics lectures taught in English in Finland. The findings provide new insights on the sequential environments in which students launch the requests (i.e. between or during…
Descriptors: Physics, Science Instruction, Language of Instruction, English (Second Language)
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Partanen, Lauri – Chemistry Education Research and Practice, 2016
The aim of this study was to apply current pedagogical research in order to develop an effective course and exercise structure for a physical chemistry thermodynamics course intended for second or third year university students of chemistry. A mixed-method approach was used to measure the impact the changes had on student learning. In its final…
Descriptors: Teaching Methods, Thermodynamics, Science Instruction, Chemistry
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Leinonen, Risto; Asikainen, Mervi A.; Hirvonen, Pekka E. – Physical Review Special Topics - Physics Education Research, 2013
As has been shown by previous research, students may possess various misconceptions in the area of thermal physics. In order to help them overcome misconceptions observed prior to instruction, we implemented a one-hour lecture-based intervention in their introductory thermal physics course. The intervention was held after the conventional lectures…
Descriptors: Physics, Science Instruction, Thermodynamics, Scientific Concepts
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