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Direct linkMetty, Jane – Journal of College Science Teaching, 2013
While circulating the room during a classroom activity where preservice teachers are required to teach a mini-lesson to their classmates, Jane Metty's ear was drawn to one particular group where a student asked, "What color is blood?"--and heard the student teacher confidently answer, "Blue." She then began to wonder where…
Descriptors: Preservice Teachers, College Faculty, Misconceptions, Human Body
Download full textShtulman, Andrew; Checa, Isabel – International Electronic Journal of Elementary Education, 2012
The theory of evolution by natural selection has revolutionized the biological sciences yet remains confusing and controversial to the public at large. This study explored how a particular segment of the public--visitors to a natural history museum--reason about evolution in the context of an interactive cladogram, or evolutionary tree. The…
Descriptors: Museums, Evolution, Science Education, Misconceptions
Friend Wise, Alyssa; Padmanabhan, Poornima; Duffy, Thomas M. – Distance Education, 2009
This mixed-methods study probed the effectiveness of three kinds of objects (video, theory, metaphor) as common reference points for conversations between online learners (student teachers). Individuals' degree of detail-focus was examined as a potentially interacting covariate and the outcome measure was learners' level of tacit knowledge related…
Descriptors: Electronic Learning, Student Teachers, Computer Mediated Communication, Figurative Language
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
