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Wang, Li; Zeng, Jieying; Ran, Xiaomeng; Cui, Zhanling; Zhou, Xinlin – ZDM: Mathematics Education, 2022
Mathematical problems can be divided into two types, namely, process-open and process-constrained problems. Solving these two types of problems may require different cognitive mechanisms. However, there has been only one study that investigated the differences of the cognitive abilities in process-open and process-constrained problem solving, and…
Descriptors: Problem Solving, Cognitive Processes, Cognitive Ability, Grade 5
Yun Dai; Ziyan Lin; Ang Liu; Wenlan Wang – British Journal of Educational Technology, 2024
While AI has become more prevalent in our society than ever, many young learners are found holding various naive, erroneous conceptions of AI due to the influence of their technology and media environments. To address this issue, this study seeks to propose a novel pedagogical solution to improve upper-elementary school students' scientific…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Education, Elementary School Students
Memnun, Dilek Sezgin; Sevindik, Fatma; Beklen, Canan; Dinç, Emre – World Journal of Education, 2019
This study aimed to analyze the abstraction process of twelve-grade students' continuity knowledge through the RBC+C abstraction model. With this aim, a semi-constructed interview was conducted with two twelfth-grade students and recorded with a video camera. Two different research problems were addressed in the interview, and the students were…
Descriptors: High School Students, Grade 12, Cognitive Processes, Abstract Reasoning
Clarissa A. Thompson; Jennifer M. Taber; Pooja G. Sidney; Charles J. Fitzsimmons; Marta K. Mielicki; Percival G. Matthews; Erika A. Schemmel; Nicolle Simonovic; Jeremy L. Foust; Pallavi Aurora; David J. Disabato; T. H. Stanley Seah; Lauren K. Schiller; Karin G. Coifman – Grantee Submission, 2021
At the onset of the coronavirus disease (COVID-19) global pandemic, our interdisciplinary team hypothesized that a mathematical misconception--whole number bias (WNB)--contributed to beliefs that COVID-19 was less fatal than the flu. We created a brief online educational intervention for adults, leveraging evidence-based cognitive science…
Descriptors: COVID-19, Pandemics, Cognitive Processes, Logical Thinking
Doumas, Leonidas A. A.; Morrison, Robert G.; Richland, Lindsey Engle – Grantee Submission, 2018
Diagrams are powerful opportunities for grappling with and learning abstract relationships, for example learning the relations between elements in an ecosystem rather than simply memorizing the objects within the system. Further, what is crucial from any diagrammatic learning opportunity is the ability to use this relational knowledge in a new…
Descriptors: Visual Aids, Abstract Reasoning, Logical Thinking, Attention
Spanoudis, George; Demetriou, Andreas – Journal of Intelligence, 2020
The relations between the developing mind and developing brain are explored. We outline a theory of intellectual development postulating that the mind comprises four systems of processes (domain-specific, attention and working memory, reasoning, and cognizance) developing in four cycles (episodic, realistic, rule-based, and principle-based…
Descriptors: Cognitive Mapping, Cognitive Development, Cognitive Processes, Brain
Tamatea, Laurence – Research and Practice in Technology Enhanced Learning, 2019
Internationally, coding is increasingly introduced into primary and junior high schools (children generally aged between 5 and 15) on a compulsory basis, though not all stakeholders support this 'initiative'. In response to the public reception, discussion highlights popular argument around compulsory coding in school education. This is an…
Descriptors: Coding, Programming, Computer Science Education, Required Courses
Rehder, Bob – Cognitive Science, 2017
This article assesses how people reason with categories whose features are related in causal cycles. Whereas models based on causal graphical models (CGMs) have enjoyed success modeling category-based judgments as well as a number of other cognitive phenomena, CGMs are only able to represent causal structures that are acyclic. A number of new…
Descriptors: Abstract Reasoning, Logical Thinking, Causal Models, Graphs
Pilotti, Maura A. E.; Aamir, Siddiqua; Al Ghazo, Runna; Al Kuhayli, Halah Abdulaziz – International Journal of Teaching and Learning in Higher Education, 2019
The main aim of the present investigation was to examine conditional reasoning skills in college students whose educational past had emphasized verbatim learning. A successive independent-samples design was utilized to explore the effects of instruction that explicitly targeted critical thinking principles in either freshman students or…
Descriptors: Abstract Reasoning, Thinking Skills, Prior Learning, Cognitive Processes
Barnes, Alison – Research in Mathematics Education, 2019
Mathematical reasoning requires perseverance to overcome the cognitive and affective difficulties encountered whilst pursuing a reasoned line of enquiry. The aims of the study were: to understand how children's perseverance in mathematical reasoning (PiMR) manifests in reasoning activities, and to examine how PiMR can be facilitated through a…
Descriptors: Mathematical Logic, Elementary School Students, Cognitive Processes, Mathematics Instruction
Sawaya, Helen; McGonigle-Chalmers, Maggie; Kusel, Iain – International Journal of Developmental Disabilities, 2021
Objectives: The aim of the study is to distinguish between perceptuomotor and cognitive inflexibility as the source of set-switching difficulties in children with autism spectrum disorder (ASD). Methods: Seventeen adolescents with ASD and 17 neurotypical controls were presented with a computerized sequencing game using colored shapes. The sequence…
Descriptors: Autism, Pervasive Developmental Disorders, Adolescents, Perceptual Motor Learning
Dealing with Big Numbers: Representation and Understanding of Magnitudes outside of Human Experience
Resnick, Ilyse; Newcombe, Nora S.; Shipley, Thomas F. – Cognitive Science, 2017
Being able to estimate quantity is important in everyday life and for success in the STEM disciplines. However, people have difficulty reasoning about magnitudes outside of human perception (e.g., nanoseconds, geologic time). This study examines patterns of estimation errors across temporal and spatial magnitudes at large scales. We evaluated the…
Descriptors: STEM Education, Error Patterns, Accuracy, Abstract Reasoning
Jessica E. Bartley; Michael C. Riedel; Taylor Salo; Emily R. Boeving; Katherine L. Bottenhorn; Elsa I. Bravo; Rosalie Odean; Alina Nazareth; Robert W. Laird; Matthew T. Sutherland; Shannon M. Pruden; Eric Brewe; Angela R. Laird – npj Science of Learning, 2019
Understanding how students learn is crucial for helping them succeed. We examined brain function in 107 undergraduate students during a task known to be challenging for many students--physics problem solving--to characterize the underlying neural mechanisms and determine how these support comprehension and proficiency. Further, we applied module…
Descriptors: Brain, Cognitive Processes, Science Process Skills, Abstract Reasoning
Cassetta, Briana D.; Pexman, Penny M.; Goghari, Vina M. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2018
Theory of mind (ToM) refers to the ability to make inferences about mental states. Thus far, little research has examined ToM development in middle childhood. Importantly, recent studies have distinguished between making inferences about beliefs (cognitive ToM) and emotions (affective ToM). ToM has also been associated with executive functioning,…
Descriptors: Theory of Mind, Inferences, Executive Function, Cognitive Processes
Weinrich, M. L.; Sevian, H. – Chemistry Education Research and Practice, 2017
Students often struggle with solving mechanism problems in organic chemistry courses. They frequently focus on surface features, have difficulty attributing meaning to symbols, and do not recognize tasks that are different from the exact tasks practiced. To be more successful, students need to be able to extract salient features, map similarities…
Descriptors: Science Instruction, Organic Chemistry, Problem Solving, Scientific Concepts

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