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Liu, Ying; Liu, Ru-De; Star, Jon; Wang, Jia; Zhen, Rui; Tong, Huimin – Journal of Educational Psychology, 2020
The More A-More B intuitive rule has become a research hotspot in the field of mathematical education in recent years. The intuitive rule of More A-More B is often reflected in students' responses to comparison tasks. In such tasks, students are asked to compare 2 objects that differ in a certain salient quantity A (where A[subscript 1] >…
Descriptors: Elementary School Students, Cognitive Processes, Intuition, Interference (Learning)
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Balta, Nuri; Japashov, Nursultan; Abdulbakioglu, Mustafa; Oliveira, Alandeom W. – Physics Education, 2020
Student cognition in response to intuitive and counterintuitive stimuli in the school science curriculum is not well understood. To address this issue, this study examines high school students' cognitive responses to three counterintuitive physics problems. Our analysis reveals that student success in arriving at counter-intuitive physical…
Descriptors: High School Students, Science Instruction, Secondary School Science, Physics
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Biswas, Gautam; Rajendran, Ramkumar; Mohammed, Naveeduddin; Goldberg, Benjamin S.; Sottilare, Robert A.; Brawner, Keith; Hoffman, Michael – IEEE Transactions on Learning Technologies, 2020
Intelligent learning environments can be designed to support the development of learners' cognitive skills, strategies, and metacognitive processes as they work on complex decision-making and problem-solving tasks. However, the complexity of the tasks may impede the progress of novice learners. Providing adaptive feedback to learners who face…
Descriptors: Decision Making, Difficulty Level, Hierarchical Linear Modeling, Cognitive Processes
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Frensley, John – Physics Teacher, 2019
Traditional high school physics instruction often comes across as a mere extension of the mathematics classroom to many of our students. Solving numerical physics problems using structures such as the GUESS method (given, unknown, equation, substitute, solve) doesn't help students with conceptual understanding. With the advent of physics education…
Descriptors: High School Students, Secondary School Science, Physics, Science Process Skills
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Sherin, Miriam Gamoran; Lynn, James – Mathematics Teaching in the Middle School, 2019
This article explores three processes involved in attending to evidence of students' thinking, one of the Mathematics Teaching Practices found in "Principles to Actions: Ensuring Mathematical Success for All." These processes, explored during a classroom activity on proportional relationships, are discussed in this article, another…
Descriptors: Mathematics Instruction, Thinking Skills, Problem Solving, Mathematics Skills
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Lamb, Richard; Firestone, Jonah; Schmitter-Edgecombe, Maureen; Hand, Brian – Journal of Educational Research, 2019
Critical thinking when engaged in science problem solving around even simple tasks such as the Piagetian volume conservation task is a complex endeavor. Tasks such as the conservation task often require the interaction of multiple cognitive systems. Parity judgment, retrieval, and lateral thinking are three examples of such systems interacting…
Descriptors: Cognitive Processes, Critical Thinking, Problem Solving, Models
Beckman, Joseph W. – ProQuest LLC, 2019
Information security practitioners and researchers who possess sufficient depth of conceptual understanding to reconstitute systems after attacks or adapt information security concepts to novel situations are in short supply. Education of new information security professionals with sufficient conceptual depth is one method by which this shortage…
Descriptors: Achievement Gains, Cognitive Processes, Coding, Technology
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Zhang, Mengxue; Wang, Zichao; Baraniuk, Richard; Lan, Andrew – International Educational Data Mining Society, 2021
Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…
Descriptors: Mathematics Instruction, Teaching Methods, Intelligent Tutoring Systems, Error Patterns
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Chen, Guanhua; Shen, Ji; Jiang, Shiyan; Barth-Cohen, Lauren; Eltoukhy, Moataz – AERA Online Paper Repository, 2018
In the core of computational thinking (CT) practices is problem-solving. However, there is little research on connecting CT with problem solving processes. We developed a computer-based assessment on CT that can log students' problem-solving processes and administered it to a group of fifth graders as a pre- and post- measure of a robotics…
Descriptors: Elementary School Students, Problem Solving, Mathematical Logic, Computation
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Casalvieri, Christian; Gambini, Alessandro – International Journal for Technology in Mathematics Education, 2022
In this paper we present a qualitative analysis based on data collected by means of an eye-tracker tool, concerning the outcome of a mathematical analysis question administered to a group of candidates of university level or higher. One of the research aims is to highlight similarities and differences in the visual observation of the question…
Descriptors: Eye Movements, Cognitive Processes, Mathematics Education, Higher Education
Wendy Michelle Lewis – ProQuest LLC, 2022
National mathematics achievement results show that elementary students in the United States are not increasing in cognitive ability or critical thinking skills (NAEP, 2020). For this increase, mathematically promising students require more opportunities for cognitively demanding mathematics instruction. As a result, this descriptive study focused…
Descriptors: Elementary School Mathematics, Elementary School Students, Mathematics Skills, Cognitive Processes
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Kelsey E. Schenck; Candace Walkington; Mitchell J. Nathan – Grantee Submission, 2022
Mathematics is a particularly notable domain in which to understand the role of body movement for improving reasoning, instruction, and learning. One reason is that mathematics ideas are often expressed and taught through disembodied formalisms--diagrams and symbols that are culturally designed to be abstract, amodal, and arbitrary (Glenberg et…
Descriptors: Mathematics Instruction, Motion, Human Body, Nonverbal Communication
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Bossé, Michael J.; Young, Erica Slate; Bayaga, Anass; Lynch-Davis, Kathleen; DeMarte, Ashley M.; Fountain, Catherine – International Journal for Mathematics Teaching and Learning, 2020
While one branch of literature is replete with investigations of problem solving and another branch frequently investigates student use of dynamic mathematics environments (DMEs), most of the studies in both of these fields consider whether or not students can solve problems. Far fewer number of studies consider the cognitive processes associated…
Descriptors: Cognitive Processes, Problem Solving, Mathematics Education, Mathematics Skills
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Morrison, Briana B.; Margulieux, Lauren E.; Decker, Adrienne – Computer Science Education, 2020
Background and Context: Subgoal labeled worked examples have been extensively researched, but the research has been reported piecemeal. This paper aggregates data from three studies, including data previously unreported, to holistically examine the effect of subgoal labeled worked examples across three student populations and across different…
Descriptors: Computer Science Education, Instructional Materials, Instructional Effectiveness, Problem Solving
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Bichler, Sarah; Schwaighofer, Matthias; Stadler, Matthias; Bühner, Markus; Greiff, Samuel; Fischer, Frank – Journal of Educational Psychology, 2020
A previous study found that task shifting and fluid intelligence, but not working memory capacity (WMC) and prior knowledge, influenced the worked example effect (Schwaighofer, Bühner, & Fischer, 2016). To increase confidence in these findings, we report a preregistered extended replication study of Schwaighofer et al.'s investigation.…
Descriptors: Short Term Memory, Cognitive Processes, Intelligence, Executive Function
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