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Dawei Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article…
Descriptors: College Students, Artificial Intelligence, Information Literacy, Problem Solving
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Bruce Mann – Journal of Interactive Learning Research, 2025
In this study, temporal speech cues were integrated into online curriculum to solve non-routine problems in curricular multimedia. Teachers-in-training (n=56) were randomly assigned to one of three treatment conditions. It was expected that participants in the temporal speech cues condition would be more likely to solve problems than those in the…
Descriptors: Articulation (Speech), Cues, Multimedia Instruction, Multimedia Materials
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Tian Li; Gaomin Sun; Xinlin Zhou; Tengfei Wang – Educational Psychology, 2023
The close relationship between working memory and maths problem solving is generally accepted, but the specifics of how working memory and its subcomponents contribute to maths problem solving remain poorly understood. Tests of working memory, maths problem problem solving, calculation, and intelligence were administered to 246 university…
Descriptors: Mathematics, Short Term Memory, Problem Solving, Computation
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Qian Xu – Discover Education, 2024
This research suggests a methodology to examine the effectiveness Artificial Intelligence (AI) on the cognitive abilities of college students so that future researchers can utilize this experimental project to focus on how AI-powered Intelligent Tutoring Systems (ITSs) affect learning outcomes. As AI continues to revolutionize all walks of life,…
Descriptors: Artificial Intelligence, Cognitive Ability, College Students, Intelligent Tutoring Systems
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Kretzschmar, André; Nebe, Stephan – Journal of Intelligence, 2021
In order to investigate the nature of complex problem solving (CPS) within the nomological network of cognitive abilities, few studies have simultantiously considered working memory and intelligence, and results are inconsistent. The Brunswik symmetry principle was recently discussed as a possible explanation for the inconsistent findings because…
Descriptors: Short Term Memory, Logical Thinking, Problem Solving, Intelligence
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Yi Ding; Qian Wang; Ru-De Liu; Jolene Trimm; Jiayi Wang; Shu Feng; Wei Hong; Xian-Tong Yang – SAGE Open, 2024
The paper examined the relations among problem solving, automaticity, and working memory load (WML) by changing the difficulty level of task characteristics through two applications. In Study 1, involving 68 engineering students, a 2 (automaticity) x 2 (WML) design was utilized for arithmetic problems. In Study 2, involving 76 engineering…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Problem Solving
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Bichler, Sarah; Stadler, Matthias; Bühner, Markus; Greiff, Samuel; Fischer, Frank – Instructional Science: An International Journal of the Learning Sciences, 2022
Extensive research has established that successful learning from an example is conditional on an important learning activity: self-explanation. Moreover, a model for learning from examples suggests that self-explanation quality mediates effects of examples on learning outcomes (Atkinson et al. in Rev Educ Res 70:181-214, 2000). We investigated…
Descriptors: Statistics, Statistics Education, Problem Solving, Executive Function
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Joshua Samani; Steven C. Pan – npj Science of Learning, 2021
We investigated whether continuously alternating between topics during practice, or interleaved practice, improves memory and the ability to solve problems in undergraduate physics. Over 8 weeks, students in two lecture sections of a university-level introductory physics course completed thrice-weekly homework assignments, each containing problems…
Descriptors: Undergraduate Students, Physics, Science Instruction, Problem Solving
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Norton, Anderson; Ulrich, Catherine; Kerrigan, Sarah – Journal for Research in Mathematics Education, 2023
This article introduces unit transformation graphs (UTGs) as a tool for diagramming the ways students use sequences of mental actions to solve mathematical tasks. We report findings from a study in which we identified patterns in the ways preservice elementary school teachers relied on working memory to coordinate mental actions when operating in…
Descriptors: Graphs, Fractions, Short Term Memory, Preservice Teachers
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Stryker, Rachael; Kokushkin, Vladislav; Norton, Anderson; Kerrigan, Sarah – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
This study examined the role of student generated drawings to offload cognitive demands of a mathematical problem. We used Unit Transformation Graphs to compare students' thought processes when they had to solve the problem mentally, and when they were allowed to use pen and paper. The results indicated that the possibility to rely on drawings…
Descriptors: Freehand Drawing, Mathematics Instruction, Problem Solving, Mathematical Logic
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Juniati, Dwi; Budayasa, I. Ketut – European Journal of Educational Research, 2022
This study aimed to determine the effect of cognitive and affective factors on the performance of prospective mathematics teachers. Cognitive factors include cognitive independence level and working memory capacity, while affective factor include math anxiety. Mathematical performance was then assessed as basic math skills, advanced math skills…
Descriptors: Cognitive Processes, Affective Behavior, Academic Achievement, Preservice Teachers
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Chen, Yalin; Orr, Alicia; Campbell, Jamie I. D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
This research pursued a fine-grained analysis of the acquisition of a procedural skill. In two experiments (n = 29 and n = 27), adults practiced 12 alphabet arithmetic problems (e.g., C + 3 = C D E F) in two sessions with 20 practice blocks in each. If learning reflected speed up of a counting algorithm, response time (RT) speed up should be…
Descriptors: Learning Processes, Alphabets, Arithmetic, Computation
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Frankenhuis, Willem E.; de Vries, Sarah A.; Bianchi, JeanMarie; Ellis, Bruce J. – Developmental Science, 2020
Although growing up in stressful conditions can undermine mental abilities, people in harsh environments may develop intact, or even "enhanced," social and cognitive abilities for solving problems in high-adversity contexts (i.e. 'hidden talents'). We examine whether childhood and current exposure to violence are associated with memory…
Descriptors: Memory, Thinking Skills, Social Development, Cognitive Development
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Sankaranarayanan, Rajagopal; Kwon, Kyungbin; Cho, Yonjoo – Journal of Interactive Learning Research, 2021
Although collaborative learning is becoming a widely popular instructional method, little research has been undertaken considering human cognitive structures and their influence on the design of collaborative learning tasks. Using cognitive load theory as a theoretical framework in this study, forty-five undergraduate students were assigned to…
Descriptors: Problem Solving, Cooperative Learning, Individual Instruction, Interaction
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Davis, Thomas J.; Fichtenholtz, Harlan M. – Creativity Research Journal, 2019
This research explored the relationship between mental fatigue and creativity by testing the creative potential of 25 Keene State College students, half of which were subjected to mental fatigue. Little research has been done to look at these 2 variables together, but considerable research has been done on them individually. Using an…
Descriptors: Creativity, Stress Variables, Creative Thinking, Creativity Tests
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