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Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
Fotou, Nikolaos; Abrahams, Ian – Research in Science & Technological Education, 2023
Background: The use of analogies as reasoning tools that play a key role in human cognition at all ages has been of interest to educators, scientists, and philosophers ever since Aristotle. Indeed, research has consistently found that analogies provided by teachers can, and do, play an important role in facilitating student understanding of…
Descriptors: Logical Thinking, Prediction, Abstract Reasoning, Novelty (Stimulus Dimension)
Fangli Xia; Mitchell J. Nathan; Kelsey E. Schenck; Michael I. Swart – Cognitive Science, 2025
Task-relevant actions can facilitate mathematical thinking, even for complex topics, such as mathematical proof. We investigated whether such cognitive benefits also occur for action predictions. The action-cognition transduction (ACT) model posits a reciprocal relationship between movements and reasoning. Movements--imagined as well as real ones…
Descriptors: Undergraduate Students, Geometry, Mathematical Concepts, Mathematics Instruction
Stocco, Andrea; Prat, Chantel S.; Graham, Lauren K. – Cognitive Science, 2021
The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about…
Descriptors: Individual Differences, Rewards, Abstract Reasoning, Problem Solving
Emily M. Stump; Mark Hughes; Gina Passante; N. G. Holmes – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] Uncertainty is an important concept in physics laboratory instruction. However, little work has examined how students reason about uncertainty beyond the introductory (intro) level. In this work we aimed to compare intro and beyond-intro…
Descriptors: Student Attitudes, Scientific Attitudes, Physics, Introductory Courses
Mayarni, M.; Nopiyanti, Eva – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2021
Critical and analytical thinking skills are included in higher-order thinking skills which become the focus of educational goals in recent era. This study aimed to determine the relationship between critical and analytical thinking skills in ecology learning at senior high school in East Jakarta. This research was conducted from March to June…
Descriptors: Critical Thinking, Thinking Skills, Abstract Reasoning, Correlation
Underwood, Sonia M.; Kararo, Alex T.; Gadia, Gabriela – Chemistry Education Research and Practice, 2021
The ability to predict macroscopic properties using a compound's chemical structure is an essential idea for chemistry as well as other disciplines such as biology. In this study we investigate how different levels of interventions impact the components of students' explanations (claims, evidence, and reasoning) of structure-property…
Descriptors: Chemistry, Science Process Skills, Intervention, Prediction
Hinterecker, Thomas; Knauff, Markus; Johnson-Laird, P. N. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Individuals draw conclusions about possibilities from assertions that make no explicit reference to them. The model theory postulates that assertions such as disjunctions refer to possibilities. Hence, a disjunction of the sort, "A or B or both," where "A" and "B" are sensible clauses, yields mental models of an…
Descriptors: Logical Thinking, Abstract Reasoning, Inferences, Probability
Zettersten, Martin; Schonberg, Christina; Lupyan, Gary – First Language, 2020
This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…
Descriptors: Models, Language Acquisition, Prediction, Language Processing
Noyes, Keenan Chun Hong Lee – ProQuest LLC, 2022
One of the goals of science education is to help students make sense of the world around them. To that end, it is critical that students understand the central ideas in each discipline like, in chemistry, energy and interactions. These ideas are of particular importance because they are directly related to one another and are relevant across other…
Descriptors: Energy, Science Instruction, Prediction, Chemistry
Lee, Sungyoon – Reading Psychology, 2023
The purpose of the study is to examine the role of spatial ability and attention shifting in reading of illustrated science texts. Thirty-five fourth/fifth elementary students read two science texts. Prior knowledge and retention/transfer learning outcomes were measured using researcher-developed measures. While reading, students' eye movements…
Descriptors: Eye Movements, Spatial Ability, Reading Processes, Attention Control
Nikiforidou, Zoi – Early Childhood Education Journal, 2019
Probabilities tend to become an integral part of early childhood mathematics curricula. Research has shown that at the age of 4, children indicate basics of probabilistic reasoning and can engage with probabilistic tasks and uncertainty. The aim of this study is to examine whether methodological and design alterations influence children's…
Descriptors: Preschool Children, Preschool Education, Probability, Manipulative Materials
Bryan, Victoria M.; Mayer, John D. – Journal of Intelligence, 2021
The Cattell-Horn-Carroll (CHC) or three-stratum model of intelligence envisions human intelligence as a hierarchy. General intelligence (g) is situated at the top, under which are a group of broad intelligences such as verbal, visuospatial processing, and quantitative knowledge that pertain to more specific areas of reasoning. Some broad…
Descriptors: Culture Fair Tests, Intelligence Tests, Intelligence, Models
Bossé, Michael J.; Bayaga, Anass; Lynch-Davis, Kathleen; DeMarte, Ashley M. – International Journal for Mathematics Teaching and Learning, 2021
In the context of an analytical geometry, this study considers the mathematical understanding and activity of seven students analyzed simultaneously through two knowledge frameworks: (1) the Van Hiele levels (Van Hiele, 1986, 1999) and register and domain knowledge (Hibert, 1988); and (2) three action frameworks: the SOLO taxonomy (Biggs, 1999;…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Taxonomy
Primativo, Silvia; Reilly, Jamie; Crutch, Sebastian J – Cognitive Science, 2017
The Abstract Conceptual Feature (ACF) framework predicts that word meaning is represented within a high-dimensional semantic space bounded by weighted contributions of perceptual, affective, and encyclopedic information. The ACF, like latent semantic analysis, is amenable to distance metrics between any two words. We applied predictions of the ACF…
Descriptors: Semantics, Prediction, Abstract Reasoning, Eye Movements

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