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Showing 1 to 15 of 23 results Save | Export
Candace Walkington; Mitchell J. Nathan; Min Wang; Kelsey Schenck – Grantee Submission, 2022
Theories of grounded and embodied cognition offer a range of accounts of how reasoning and body-based processes are related to each other. To advance theories of grounded and embodied cognition, we explore the "cognitive relevance" of particular body states to associated math concepts. We test competing models of action-cognition…
Descriptors: Thinking Skills, Mathematics Skills, Cognitive Processes, Models
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Candace Walkington; Mitchell J. Nathan; Min Wang; Kelsey Schenck – Cognitive Science, 2022
Theories of grounded and embodied cognition offer a range of accounts of how reasoning and body-based processes are related to each other. To advance theories of grounded and embodied cognition, we explore the "cognitive relevance" of particular body states to associated math concepts. We test competing models of action-cognition…
Descriptors: Thinking Skills, Mathematics Skills, Cognitive Processes, Models
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Yerushalmy, Michal; Olsher, Shai – ZDM: The International Journal on Mathematics Education, 2020
We argue that examples can do more than serve the purpose of illustrating the truth of an existential statement or disconfirming the truth of a universal statement. Our argument is relevant to the use of technology in classroom assessment. A central challenge of computer-assisted assessment is to develop ways of collecting rich and complex data…
Descriptors: Computer Assisted Testing, Student Evaluation, Problem Solving, Thinking Skills
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Meadows, Michelle; Caniglia, Joanne – International Journal of Education in Mathematics, Science and Technology, 2021
Pre-service mathematics teacher (PST) education often addresses within Geometry Classes how to utilize Dynamic Geometric Software (DGS). Other classes may also incorporate teaching pre-service teachers about the history of mathematics. Although research has documented the use of Dynamic Geometric Software (DGS) in teaching the history of…
Descriptors: Computer Software, Teaching Methods, Preservice Teacher Education, Mathematics Teachers
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Pittalis, Marios; Pitta-Pantazi, Demetra; Christou, Constantinos – Journal for Research in Mathematics Education, 2020
A theoretical model describing young students' (Grades 1-3) functional-thinking modes was formulated and validated empirically (n = 345), hypothesizing that young students' functional-thinking modes consist of recursive patterning, covariational thinking, correspondence-particular, and correspondence-general factors. Data analysis suggested that…
Descriptors: Elementary School Students, Thinking Skills, Task Analysis, Profiles
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Nahmias, Erez; Teicher, Mina – Journal of Education and Learning, 2021
Thinking development processes among high-school students is an important and significant issue that has been widely investigated (Leviathan, 2012; Ball, 1996; De Risi, 2015). A few studies discuss the development of mathematical thinking as this field contains additional difficulties to the traditional factors, teachers, students, and parents,…
Descriptors: Geometry, High School Students, Thinking Skills, Mathematics Instruction
Shah, Meetal Jaswant – ProQuest LLC, 2018
Significant attention is being paid to how assessments aligned to learning trajectories (LTs) can be used as a means to locate students' progress in learning big ideas in mathematics over time. Furthermore, data from LT-aligned assessments have been signaled as key to driving student-centered instruction on a day-to-day basis. For LTs and…
Descriptors: Grade 8, Middle School Students, Validity, Models
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Durand, Guillaume; Goutte, Cyril; Léger, Serge – International Educational Data Mining Society, 2018
Knowledge tracing is a fundamental area of educational data modeling that aims at gaining a better understanding of the learning occurring in tutoring systems. Knowledge tracing models fit various parameters on observed student performance and are evaluated through several goodness of fit metrics. Fitted parameter values are of crucial interest in…
Descriptors: Error of Measurement, Models, Goodness of Fit, Predictive Validity
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Zazkis, Dov; Mills, Melissa – Research in Mathematics Education, 2017
Translating an informal mathematical argument into a proof which conforms to the norms of the mathematical community in which it is situated is a non-trivial task. Here we discuss several types of products, other than the initial informal argument and its direct formalisation, which we observed students generating in a master's level analysis…
Descriptors: Mathematical Logic, Validity, Mathematics Instruction, Mathematics
Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…
Descriptors: Models, Regression (Statistics), Learning, Classification
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Sánchez-García, Ana B.; Cabello, Ana Belén – Educational Research and Reviews, 2016
In this paper we present the process of constructing a test for assessing student performance in geometry corresponding to the first year of Secondary Education. The main goal was to detect student errors in the understanding of geometry in order to develop a proposal according to the Van Hiele teaching model, explained in this paper. Our research…
Descriptors: Geometry, Mathematics Achievement, Secondary School Students, Models
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Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
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Rathouz, Margaret; Novak, Christopher; Clifford, John – Mathematics Teacher, 2013
Constructing formulas "from scratch" for calculating geometric measurements of shapes--for example, the area of a triangle--involves reasoning deductively and drawing connections between different methods (Usnick, Lamphere, and Bright 1992). Visual and manipulative models also play a role in helping students understand the underlying…
Descriptors: Mathematics Instruction, Mathematical Formulas, Geometry, Geometric Concepts
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Dawkins, Paul Christian – For the Learning of Mathematics, 2012
Weber and Alcock's (2004, 2009) syntactic/semantic framework provides a useful means of delineating two basic categories of proof-oriented activity. They define their dichotomy using Goldin's (1998) theory of representation systems. In this paper, I intend to clarify the framework by providing criteria for classifying student reasoning into…
Descriptors: Semantics, Syntax, Models, Mathematical Logic
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Bosse, Michael J.; Adu-Gyamfi, Kwaku – Mathematics Teacher, 2011
For many high school students as well as preservice teachers, geometry can be difficult to learn without experiences that allow them to build their own understanding. The authors' approach to geometry instruction--with its integration of content, multiple representations, real-world examples, reading and writing, communication and collaboration as…
Descriptors: Preservice Teachers, Geometric Concepts, Geometry, Models
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