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Dynarski, Mark; Kisker, Ellen – National Center for Education Evaluation and Regional Assistance (NCEE), 2014
Communicating complex concepts to practitioners, policymakers, and other nontechnical readers is a challenge that all policy researchers face. Research in education uses many concepts from methodology and statistics. If researchers want to communicate their findings to an audience of other researchers, they can safely assume that their audience is…
Descriptors: Research Reports, Concept Formation, Information Dissemination, Language Usage
Gardner, Kimberly – Teaching Statistics: An International Journal for Teachers, 2013
Statistics is an integral part of the K-12 mathematics curriculum (age 5-18). Naturally, students construct misconceptions of what they learn. This article discusses The Bop It[C]Challenge, a review activity assesses student understanding and reveals their misunderstandings of statistical concepts. (Contains 3 figures and 1 table.)
Descriptors: Statistics, Mathematics Instruction, Misconceptions, Mathematical Concepts
Potvin, Patrice; Mercier, Julien; Charland, Patrick; Riopel, Martin – Research in Science Education, 2012
This research investigates the effect of classroom explicitation of initial conceptions (CEIC) on conceptual change in the context of learning electricity. Eight hundred and seventy five thirteen year-olds were tested in laboratory conditions to see if CEIC is or is not a productive step toward conceptual change. All students experienced a…
Descriptors: Experimental Groups, Misconceptions, Concept Formation, Laboratories
Madhyastha, Tara; Hunt, Earl – Journal of Educational Data Mining, 2009
This paper introduces a method for mining multiple-choice assessment data for similarity of the concepts represented by the multiple choice responses. The resulting similarity matrix can be used to visualize the distance between concepts in a lower-dimensional space. This gives an instructor a visualization of the relative difficulty of concepts…
Descriptors: Diagnostic Tests, Multiple Choice Tests, Concept Formation, Schematic Studies
Peer reviewedShepardson, Daniel P.; Moje, Elizabeth B. – International Journal of Science Education, 1999
Focuses on students' understanding of electric circuits. Findings suggest that children's interpretive frameworks of electric circuits are reflected in the specificity of the details, consistency, and coherence of their understanding. Contains 23 references. (DDR)
Descriptors: Cognitive Processes, Concept Formation, Data Analysis, Electricity
Peer reviewedSadler, Philip M. – Journal of Research in Science Teaching, 1998
Reports on a study that uses psychometric modeling to rank the appeal of a variety of children's astronomical ideas on a single uniform scale. Findings support the view that alternative conceptions may be markers of progress toward understanding. Contains 82 references. (DDR)
Descriptors: Astronomy, Concept Formation, Data Analysis, Educational Strategies
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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

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