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Koedinger, Kenneth R.; McLaughlin, Elizabeth A. – International Educational Data Mining Society, 2016
Many educational data mining studies have explored methods for discovering cognitive models and have emphasized improving prediction accuracy. Too few studies have "closed the loop" by applying discovered models toward improving instruction and testing whether proposed improvements achieve higher student outcomes. We claim that such…
Descriptors: Educational Research, Data Collection, Task Analysis, Cognitive Processes
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Gol Tabaghi, Shiva; Sinclair, Nathalie – Technology, Knowledge and Learning, 2013
This article analyses students' thinking as they interacted with a dynamic geometric sketch designed to explore eigenvectors and eigenvalues. We draw on the theory of instrumental genesis and, in particular, attend to the different dragging modalities used by the students throughout their explorations. Given the kinaesthetic and dynamic…
Descriptors: Geometry, Algebra, Mathematics Instruction, Student Attitudes
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Ndlovu, Zanele; Brijlall, Deonarain – African Journal of Research in Mathematics, Science and Technology Education, 2015
This study is part of ongoing research in undergraduate mathematics education. The study was guided by the belief that understanding the mental constructions the pre-service teachers make when learning matrix algebra concepts leads to improved instructional methods. In this preliminary study the data was collected from 85 pre-service teachers…
Descriptors: Preservice Teachers, Mathematics Instruction, Algebra, Teaching Methods
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Simpson, Amber; Mokalled, Stefani; Ellenburg, Lou Ann; Che, S. Megan – Mathematics Teaching in the Middle School, 2014
In this article, the authors present a tool, the Cognitive Rigor Matrix (CRM; Hess et al. 2009), as a means to analyze and reflect on the type of questions posed by mathematics teachers. This tool is intended to promote and develop higher-order thinking and inquiry through the use of purposeful questions and mathematical tasks. The authors…
Descriptors: Teaching Methods, Questioning Techniques, Teacher Attitudes, Matrices
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Shipman, B. A. – PRIMUS, 2012
Through a series of six guided classroom discoveries, students create, via targeted questions, a definition for deciding when two sets have the same cardinality. The program begins by developing basic facts about cardinalities of finite sets. Extending two of these facts to infinite sets yields two statements on comparing infinite cardinalities…
Descriptors: Cognitive Processes, Multidimensional Scaling, Matrices, Questioning Techniques
Hess, Karin K.; Jones, Ben S.; Carlock, Dennis; Walkup, John R. – Online Submission, 2009
To teach the rigorous skills and knowledge students need to succeed in future college-entry courses and workforce training programs, education stakeholders have increasingly called for more rigorous curricula, instruction, and assessments. Identifying the critical attributes of rigor and measuring its appearance in curricular materials is…
Descriptors: Educational Objectives, Classification, Matrices, Curriculum Development
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Gordon, Marshall – Mathematics Teacher, 1991
Counterintuitive moments in the classroom challenge common sense and practice and can be used to help mathematics students appreciate the need to explore, reflect, and reason. Proposed are four examples involving geometry, systems of equations, and matrices as counterintuitive instances. (MDH)
Descriptors: Cognitive Processes, Cognitive Style, Geometric Concepts, Intuition
Suydam, Marilyn N., Ed.; Kasten, Margaret L., Ed. – Investigations in Mathematics Education, 1986
This issue of the journal contains abstracts and critiques of 11 research reports. Three of the reports concern problem solving; the remainder pertain to the following topics: the impact of secondary schooling and secondary mathematics on student mathematical behavior; figural matrices; computer-video instruction in mathematics; equivalent…
Descriptors: Academic Ability, Cognitive Processes, Computation, Computer Managed Instruction
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