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Applying Cognitive Theory to Statistics Instruction
Authors:Marsha C Lovett  Joel B Greenhouse
Institution:1. Psychology and Research Scientist , Center for Innovation in Learning, Carnegie Mellon University , Pittsburgh , PA , 15213 , USA;2. College of Humanities and Social Sciences, Carnegie Mellon University , Pittsburgh , PA , 15213 , USA
Abstract:This article presents five principles of learning, derived from cognitive theory and supported by empirical results in cognitive psychology. To bridge the gap between theory and practice, each of these principles is transformed into a practical guideline and exemplified in a real teaching context. It is argued that this approach of putting cognitive theory into practice can offer several benefits to statistics education: A means for explaining and understanding why reform efforts work; a set of guidelines that can help instructors make well-informed design decisions when implementing these reforms; and a framework for generating new and effective instructional innovations.
Keywords:Instructional technique  Pedagogy  Statistical education
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