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Hassel, Holly; Launius, Christie – Teaching & Learning Inquiry, 2017
This article reports on a scholarship of teaching and learning (SoTL) project in the introductory women's and gender studies course, occasioned by a curricular redesign to focus the course on four threshold concepts within the field: the social construction of gender, privilege and oppression, intersectionality, and feminist praxis. The authors…
Descriptors: Introductory Courses, Academic Achievement, Scholarship, Instruction
Braasch, Jason L. G.; Goldman, Susan R. – Discourse Processes: A Multidisciplinary Journal, 2010
Two experiments examined whether inconsistent effects of analogies in promoting new content learning from text are related to prior knowledge of the analogy "per se." In Experiment 1, college students who demonstrated little understanding of weather systems and different levels of prior knowledge (more vs. less) of an analogous everyday…
Descriptors: Logical Thinking, Prior Learning, Misconceptions, Protocol Analysis
Ariasi, Nicola; Mason, Lucia – Instructional Science: An International Journal of the Learning Sciences, 2011
This study examined whether reading a refutational or non-refutational text would induce different cognitive processing, as revealed by eye-movement analyses. Unlike a standard expository text, a refutational text acknowledges a reader's alternative conceptions about a topic, refutes them, and then introduces scientific conceptions as viable…
Descriptors: Text Structure, Attention, Scientific Concepts, Human Body
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