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Star, Jon R.; Jeon, Soobin; Comeford, Rebecca; Clark, Patricia; Rittle-Johnson, Bethany; Durkin, Kelley – Mathematics Teacher: Learning and Teaching PK-12, 2021
Comparison is a powerful and important way that we learn. To support teachers in the use of comparison in their instruction, the authors developed an instructional routine called compare and discuss multiple strategies (CDMS). Similar to other instructional routines, CDMS is a structured, specific, repeatable minilesson that teachers can use to…
Descriptors: Mathematics Instruction, Teaching Methods, Discussion (Teaching Technique), Mathematical Logic
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
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
Sapti, Mujiyem; Purwanto; Irawan, Edy Bambang; As'ari, Abdur Rahman; Sa'dijahm, Cholis; Susiswo; Wijaya, Ariyadi – Journal on Mathematics Education, 2019
Mathematical thinking is an important aspect of mathematics education and, therefore, also needs to be understood by prospective teachers. Prospective teachers should have the ability to analyze and interpret students' mathematical thinking. Comparing model is one of the interpretation models from Wilson, Lee, and Hollebrands. This article will…
Descriptors: Comparative Analysis, Models, Preservice Teachers, Mathematical Logic
Dawkins, Paul Christian; Roh, Kyeong Hah; Eckman, Derek; Cho, Young Kee – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
This report documents how one undergraduate student used set-based reasoning to reinvent logical principles related to conditional statements and their proofs. This learning occurred in a teaching experiment intended to foster abstraction of these logical relationships by comparing the predicate and inference structures among various proofs (in…
Descriptors: Mathematics Instruction, Validity, Mathematical Logic, Learning Trajectories
Heyvaert, Mieke; Deleye, Maarten; Saenen, Lore; Van Dooren, Wim; Onghena, Patrick – International Journal of Research & Method in Education, 2018
When studying a complex research phenomenon, a mixed methods design allows to answer a broader set of research questions and to tap into different aspects of this phenomenon, compared to a monomethod design. This paper reports on how a sequential equal status design (QUAN ? QUAL) was used to examine students' reasoning processes when solving…
Descriptors: High School Students, Problem Solving, Probability, Mixed Methods Research
Richland, Lindsey E.; Begolli, Kreshnik Nasi; Simms, Nina; Frausel, Rebecca R.; Lyons, Emily A. – Educational Psychology Review, 2017
Mathematical discussions in which students compare alternative solutions to a problem can be powerful modes for students to engage and refine their misconceptions into conceptual understanding, as well as to develop understanding of the mathematics underlying common algorithms. At the same time, these discussions are challenging to lead…
Descriptors: Mathematics Instruction, Problem Solving, Literature Reviews, Mathematical Logic
Mostafavi, Behrooz; Liu, Zhongxiu; Barnes, Tiffany – International Educational Data Mining Society, 2015
Deep Thought is a logic tutor where students practice constructing deductive logic proofs. Within Deep Thought is a data-driven mastery learning system (DDML), which calculates student proficiency based on rule scores weighted by expert-decided weights in order to assign problem sets of appropriate difficulty. In this study, we designed and tested…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Mathematical Logic, Mastery Learning
Richland, Lindsey E.; Begolli, Kreshnik Nasi; Simms, Nina; Frausel, Rebecca R.; Lyons, Emily A. – Grantee Submission, 2016
Mathematical discussions in which students compare alternative solutions to a problem can be powerful modes for students to engage and refine their misconceptions into conceptual understanding, as well as to develop understanding of the mathematics underlying common algorithms. At the same time, these discussions are challenging to lead…
Descriptors: Mathematics Instruction, Problem Solving, Difficulty Level, Cognitive Processes
Chernoff, Egan J.; Mamolo, Ami – Canadian Journal of Science, Mathematics and Technology Education, 2015
The objective of this article is to contribute to research on teachers' probabilistic knowledge and reasoning. To meet this objective, prospective mathematics teachers were presented coin flip sequences and were asked to determine and explain which of the sequences was least likely to occur. This research suggests that certain individuals, when…
Descriptors: Probability, Mathematical Logic, Logical Thinking, Preservice Teachers
Hong, Dae S.; Choi, Kyong Mi – International Journal of Research in Education and Science, 2018
In this study, we analyzed and compared reasoning and proving opportunities in geometry lessons from American standard-based textbooks and Korean textbooks to understand how these textbooks provide student opportunities to engage in reasoning and proving activities. Overall, around 40% of exercise problems in Core Plus Mathematics Project (CPMP)…
Descriptors: Textbooks, Comparative Analysis, Geometry, Mathematics Instruction
Booth, Julie L.; McGinn, Kelly M.; Barbieri, Christina; Begolli, Kreshnik N.; Chang, Briana; Miller-Cotto, Dana; Young, Laura K.; Davenport, Jodi L. – Grantee Submission, 2017
In the present chapter, we review the evidence for several principles that are especially promising for improving mathematics instruction. Using the classification scheme proposed by Koedinger et al. (2013), we begin with principles that focus on improving memory and fluency: scaffolding, distributed practice, and feedback. We then move to worked…
Descriptors: Cognitive Science, Scientific Principles, Mathematics Instruction, Mathematical Concepts
Su, Hui Fang Huang; Ricci, Frederick A.; Mnatsakanian, Mamikon – International Journal of Research in Education and Science, 2016
A teacher that emphasizes reasoning, logic and validity gives their students access to mathematics as an effective way of practicing critical thinking. All students have the ability to enhance and expand their critical thinking when learning mathematics. Students can develop this ability when confronting mathematical problems, identifying possible…
Descriptors: Mathematics, Mathematics Instruction, Critical Thinking, Metacognition
Hull, Michael M.; Kuo, Eric; Gupta, Ayush; Elby, Andrew – Physical Review Special Topics - Physics Education Research, 2013
Much research in engineering and physics education has focused on improving students' problem-solving skills. This research has led to the development of step-by-step problem-solving strategies and grading rubrics to assess a student's expertise in solving problems using these strategies. These rubrics value "communication" between the…
Descriptors: Problem Solving, Scoring Rubrics, Mathematical Logic, Logical Thinking
Namkung, Jessica M.; Fuchs, Lynn S. – Grantee Submission, 2015
The purpose of this study was to examine the cognitive predictors of calculations and number line estimation with whole numbers and fractions. At-risk 4th-grade students (N = 139) were assessed on 7 domain-general abilities (i.e., working memory, processing speed, concept formation, language, attentive behavior, and nonverbal reasoning) and…
Descriptors: Predictor Variables, At Risk Students, Grade 4, Elementary School Students
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