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Stephens, A. Lynn; Roderick, Steven; Shin, Namsoo; Damelin, Daniel – International Journal of Science and Mathematics Education, 2023
An ability to engage in system thinking is necessary to understand complex problems. While many pre-college students use system modeling tools, there is limited evidence of student reasoning about causal relationships that interact in diverging and converging chains, and how these affect system behavior. A chemistry unit on gas phenomena was…
Descriptors: Chemistry, Science Instruction, High School Students, Scientific Concepts
Haavold, Per Øystein; Sriraman, Bharath – ZDM: Mathematics Education, 2022
Even after many decades of productive research, problem solving instruction is still considered ineffective. In this study we address some limitations of extant problem solving models related to the phenomenon of insight during problem solving. Currently, there are two main views on the source of insight during problem solving. Proponents of the…
Descriptors: Creativity, Creative Thinking, Problem Solving, Novices
Sternberg, Robert J.; Glaveanu, Vlad; Karami, Sareh; Kaufman, James C.; Phillipson, Shane N.; Preiss, David D. – Journal of Intelligence, 2021
A deeper understanding of the processes leading to problem framing and behind finding solutions to problems should help explain variability in the quality of the solutions to those problems. Using Sternberg's WICS model as the conceptual basis of problem solving, this article discusses the relations between creative, analytical, practical, and…
Descriptors: Intelligence, Creative Thinking, Logical Thinking, Cognitive Processes
Weinberg, Paul J.; Sorensen-Weinberg, Erika K. – Science Education, 2022
Embodied cognition has been a useful means to support learning in science education. In this article, we describe a model of embodied cognition through analogical mapping that is supported through the participatory simulation and mathematical description of a link and pivot system. We look at the propensity for this model of embodied cognition to…
Descriptors: Human Body, Cognitive Processes, Science Education, Models
Bolger, Molly S.; Osness, Jordan B.; Gouvea, Julia S.; Cooper, Alexandra C. – CBE - Life Sciences Education, 2021
Modeling is a scientific practice that supports creative reasoning, motivates inquiry, and facilitates community sense-making. This paper explores students' perspectives on modeling in an undergraduate laboratory course, Authentic Inquiry through Modeling (AIM-Bio), in which they proposed, tested, and revised their own models. We conducted…
Descriptors: Inquiry, Active Learning, Models, Undergraduate Students
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
Markovits, Henry; Brisson, Janie; de Chantal, Pier-Luc – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
One of the major debates concerning the nature of inferential reasoning is between counterexample-based strategies such as mental model theory and statistical strategies underlying probabilistic models. The dual-strategy model, proposed by Verschueren, Schaeken, & d'Ydewalle (2005a, 2005b), which suggests that people might have access to both…
Descriptors: Logical Thinking, Cognitive Processes, Models, Inferences
Honda, Hidehito; Matsuka, Toshihiko; Ueda, Kazuhiro – Cognitive Science, 2017
Some researchers on binary choice inference have argued that people make inferences based on simple heuristics, such as recognition, fluency, or familiarity. Others have argued that people make inferences based on available knowledge. To examine the boundary between heuristic and knowledge usage, we examine binary choice inference processes in…
Descriptors: Memory, Heuristics, Inferences, Decision Making
Resnick, Ilyse; Davatzes, Alexandra; Newcombe, Nora S.; Shipley, Thomas F. – Educational Psychology Review, 2017
Many scientific theories and discoveries involve reasoning about extreme scales, removed from human experience, such as time in geology and size in nanoscience. Thus, understanding scale is central to science, technology, engineering, and mathematics. Unfortunately, novices have trouble understanding and comparing sizes of unfamiliar large and…
Descriptors: Thinking Skills, STEM Education, Teaching Methods, Barriers
He, Kekang – Lecture Notes in Educational Technology, 2017
This book examines research on creative thinking, both current and historical. It explores two dimensions of human thought (time and space) and two modes of thinking (conscious and unconscious) as well as both left and right brain functions and artistic and scientific creative activities. The book proposes a "Double Circulation" model of…
Descriptors: Creative Thinking, Cognitive Processes, Brain Hemisphere Functions, Models
Euler, Elias; Rådahl, Elmer; Gregorcic, Bor – Physical Review Physics Education Research, 2019
In this paper, we present a case study of a pair of students as they use nondisciplinary communicative practices to mechanistically reason about binary star dynamics. To do so, we first review and bring together the theoretical perspectives of social semiotics and embodied cognition, therein developing a new methodological approach for analyzing…
Descriptors: Physics, Science Instruction, Logical Thinking, Semiotics
Resnick, Ilyse; Davatzes, Alexandra; Newcombe, Nora S.; Shipley, Thomas F. – Grantee Submission, 2016
Many scientific theories and discoveries involve reasoning about extreme scales, removed from human experience, such as time in geology, size in nanoscience. Thus, understanding scale is central to science, technology, engineering, and mathematics. Unfortunately, novices have trouble understanding and comparing sizes of unfamiliar large and small…
Descriptors: Logical Thinking, Thinking Skills, Scientific Concepts, Measurement
Teichert, Melonie A.; Tien, Lydia T.; Dysleski, Lisa; Rickey, Dawn – Journal of Chemical Education, 2017
This study investigated relationships between the thinking processes that 28 undergraduate chemistry students engaged in during guided discovery and their subsequent success at reasoning through a transfer problem during an end-of-semester interview. During a guided-discovery laboratory module, students were prompted to use words, pictures, and…
Descriptors: Science Instruction, College Science, Undergraduate Study, Molecular Structure
Çebi, Ayça; Karal, Hasan – Educational Research and Reviews, 2017
In recent years, artificial intelligence applications for understanding the human thinking process and transferring it to virtual environments come into prominence. The fuzzy logic which paves the way for modeling human behaviors and expressing even vague concepts mathematically, and is also regarded as an artificial intelligence technique has…
Descriptors: Artificial Intelligence, Logical Thinking, Decision Making, Mathematical Applications