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Engle, Randi A.; Langer-Osuna, Jennifer M.; McKinney de Royston, Maxine – Journal of the Learning Sciences, 2014
It is commonly observed that during classroom or group discussions some students have greater influence than may be justified by the normative quality of those students' contributions. We propose a 5-component theoretical framework in order to explain how undue influence unfolds. We build on literatures on persuasion, argumentation, discourse, and…
Descriptors: Persuasive Discourse, Influences, Models, Group Discussion
Cheng, Meng-Fei; Brown, David E. – Journal of Research in Science Teaching, 2015
Student construction of models is a strong focus of current research and practice in science education. In order to study in detail the interactions between students' model generation and evaluation and their development of explanatory ideas to account for magnetic phenomena, a multi-session teaching experiment was conducted with a small number of…
Descriptors: Models, Science Instruction, Magnets, Scientific Concepts
Bruun, Faye; Diaz, Joan M.; Dykes, Valerie J. – Teaching Children Mathematics, 2015
Students may excel in computation, but their ability to apply their skills will suffer if they do not understand the math vocabulary used in instructions and story problems. This action research project examines two methods for strengthening students' ability to communicate mathematically: (1) Journal writing and peer discussion; and (2) The…
Descriptors: Action Research, Teaching Methods, Journal Writing, Peer Groups
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