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Heather Lynn Johnson; Courtney Donovan; Robert Knurek; Kristin A. Whitmore; Livvia Bechtold – Educational Studies in Mathematics, 2024
Using a mixed methods approach, we explore a relationship between students' graph reasoning and graph selection via a fully online assessment. Our population includes 673 students enrolled in college algebra, an introductory undergraduate mathematics course, across four U.S. postsecondary institutions. The assessment is accessible on computers,…
Descriptors: Models, Graphs, Cognitive Processes, Abstract Reasoning
Smid, Claire R.; Kool, Wouter; Hauser, Tobias U.; Steinbeis, Nikolaus – Developmental Science, 2023
Human decision-making is underpinned by distinct systems that differ in flexibility and associated cognitive cost. A widely accepted dichotomy distinguishes between a cheap but rigid model-free system and a flexible but costly model-based system. Typically, humans use a hybrid of both types of decision-making depending on environmental demands.…
Descriptors: Decision Making, Models, Abstract Reasoning, Young Children
Panorkou, Nicole; Germia, Erell – For the Learning of Mathematics, 2023
In this article, we address a call by Thompson and Carlson to directly contribute to defining the variation of students' reasoning about varying quantities. We show that students as young as in sixth grade can engage in complex forms of reasoning about multiple quantities in contexts that involve exploring science phenomena using interactive…
Descriptors: Elementary School Students, Grade 6, Mathematics Skills, Thinking Skills
Henry Markovits; Valerie A. Thompson – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Mental model (Johnson-Laird, 2001) and probabilistic theories (Oaksford & Chater, 2009) claim to provide distinct explanations of human reasoning. However, the dual strategy model of reasoning suggests that this distinction corresponds to different reasoning strategies, termed "counterexample" and "statistical,"…
Descriptors: Abstract Reasoning, Thinking Skills, Learning Strategies, Logical Thinking
Ayça K. Fackler; Daniel K. Capps – International Journal of Science Education, 2024
The literature on scientific modelling practices in science education has provided a fruitful discussion on how learners tend to view models vs. how and what they should think about them. One approach is to teach students that models are abstractions so that they do not view them as a copy of phenomena they represent. Although teaching students…
Descriptors: Science Education, Scientific Concepts, Models, Science Instruction
Ying, Yufeng; Moore, Kevin – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
In this paper, I propose a new construct named "analytic equation sense" to conceptually model a desired way of reasoning that involves students' algebraic manipulations and use of equivalent expressions. Building from the analysis of two existing models in the field, I argue for the need for a new model and use empirical evidence to…
Descriptors: Algebra, Mathematics Instruction, Models, Thinking Skills
Resnick, Ilyse; Newcombe, Nora; Goldwater, Micah – Journal of Numerical Cognition, 2023
There is strong evidence from research conducted in the United States that fraction magnitude understanding supports mathematics achievement. Unfortunately, there has been little research that examines if this relation is present across educational contexts with different approaches to teaching fractions. The current study compared fourth and…
Descriptors: Elementary School Students, Grade 4, Grade 6, Mathematics Skills
Barth-Cohen, Lauren A.; Braden, Sarah K.; Young, Tamara G.; Gailey, Sara – Physical Review Physics Education Research, 2021
Research in undergraduate physics and in K-12 science education has demonstrated challenges and successes in facilitating student engagement with reasoning practices associated with professional physicists. Here we focus on one important dimension of physics reasoning, using evidence to revise models. While this topic has been explored at the…
Descriptors: Middle School Students, Physics, Science Instruction, Thinking Skills
Buchbinder, Orly; McCrone, Sharon – ZDM: Mathematics Education, 2023
Mathematics teacher education programs in the United States are charged with preparing prospective secondary teachers (PSTs) to teach reasoning and proving across grade levels and mathematical topics. Although most programs require a course on proof, PSTs often perceive it as disconnected from their future classroom practice. Our design research…
Descriptors: Preservice Teachers, Secondary Education, Mathematics Instruction, Thinking Skills
Gifford, Julian D.; Finkelstein, Noah D. – Physical Review Physics Education Research, 2020
We present a framework designed to help categorize various sense making moves, allowing for greater specificity in describing and understanding student reasoning and also in the development of curriculum to support this reasoning. The framework disaggregates between the mechanisms of student reasoning (the cognitive "tool" that they are…
Descriptors: Mathematics Skills, Problem Solving, Physics, Thinking Skills
Rodriguez, Jon-Marc G.; Towns, Marcy H. – Chemistry Education Research and Practice, 2021
In this work, we discuss the importance of underlying theoretical assumptions in research, focusing on the conclusions reached when analyzing data from a misconceptions constructivist (stable, unitary) perspective in contrast to a fine-grained constructivist (resources, knowledge-in-pieces) perspective. Both frameworks are rooted in the idea that…
Descriptors: Biochemistry, Science Instruction, Constructivism (Learning), Misconceptions
Xu, Lihua; Ferguson, Joseph; Tytler, Russell – International Journal of Science and Mathematics Education, 2021
There is increasing recognition of the multimodal representational nature of science discovery practices and the roles of multiple and multimodal representations in students' meaning making in science (Lemke, 1998; Tytler, Prain, Hubber, & Waldrip, 2013; Tang, "International Journal of Science Education," 38(13), 2069-2095, 2016).…
Descriptors: Science Process Skills, Thinking Skills, Abstract Reasoning, Semiotics
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
Flores, Margaret M.; Moore, Alexcia J.; Meyer, Jill M. – Psychology in the Schools, 2020
Elementary standards include multiplication of single-digit numbers and students advance to solve complex problems and demonstrate procedural fluency in algorithms. The ability to illustrate procedural fluency in algorithms is dependent on the development of understanding and reasoning in multiplication. Development of multiplicative reasoning…
Descriptors: Elementary School Students, Grade 4, Grade 5, Teaching Methods
Langbeheim, Elon; Ben-Eliyahu, Einat; Adadan, Emine; Akaygun, Sevil; Ramnarain, Umesh Dewnarain – Chemistry Education Research and Practice, 2022
Learning progressions (LPs) are novel models for the development of assessments in science education, that often use a scale to categorize students' levels of reasoning. Pictorial representations are important in chemistry teaching and learning, and also in LPs, but the differences between pictorial and verbal items in chemistry LPs is unclear. In…
Descriptors: Science Instruction, Learning Trajectories, Chemistry, Thinking Skills