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Masnick, Amy M.; Morris, Bradley J. – Education Sciences, 2022
Data reasoning is an essential component of scientific reasoning, as a component of evidence evaluation. In this paper, we outline a model of scientific data reasoning that describes how data sensemaking underlies data reasoning. Data sensemaking, a relatively automatic process rooted in perceptual mechanisms that summarize large quantities of…
Descriptors: Models, Science Process Skills, Data Interpretation, Cognitive Processes
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Li, Shan; Lajoie, Susanne P. – European Journal of Psychology of Education, 2022
Integrating the two dominant theories of self-regulated learning (SRL) and cognitive engagement could advance our understanding of what makes students more efficient, effective learners. An integration of these theories has yet to be explored, and this paper addresses this gap by proposing a novel integrative model of SRL engagement. Specifically,…
Descriptors: Learner Engagement, Learning Theories, Self Management, Models
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Frick, Aurélien; Chevalier, Nicolas – Journal of Cognition and Development, 2023
Cognitive control (also referred to as executive functions) corresponds to a set of cognitive processes that support the goal-directed regulation of thoughts and actions. It plays a major role in complex activities and predicts later academic achievement. Importantly, while growing up, children are progressively transitioning from engaging…
Descriptors: Executive Function, Cognitive Processes, Cognitive Development, Models
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Xu, Tianshu; Wu, Xiaopeng; Sun, Siyu; Kong, Qiping – Psychology in the Schools, 2023
Considering the importance of mathematics in modern society, it is crucial to understand the cognitive processes involved in the acquisition of complex mathematical competency. As a new generation of evaluation theory, cognitive diagnosis has its unique advantages in personalized evaluation. Based on the mathematical cognitive framework of Trends…
Descriptors: Cognitive Processes, Mathematics Skills, Competence, Grade 4
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Ovando-Tellez, Marcela; Kenett, Yoed N.; Benedek, Mathias; Bernard, Matthieu; Belo, Joan; Beranger, Benoit; Bieth, Theophile; Volle, Emmanuelle – Creativity Research Journal, 2023
Associative thinking plays a major role in creativity, as it involves the ability to link distant concepts. Yet, the neural mechanisms allowing to combine distant associates in creative thinking tasks remain poorly understood. We investigated the whole-brain functional connectivity patterns related to combining remote associations for creative…
Descriptors: Brain, Associative Learning, Cognitive Processes, Creative Thinking
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Andrew M. Meier; Frank H. Guenther – Journal of Child Language, 2023
This review describes a computational approach for modeling the development of speech motor control in infants. We address the development of two levels of control: articulation of individual speech sounds (defined here as phonemes, syllables, or words for which there is an optimized motor program) and production of sound sequences such as phrases…
Descriptors: Brain, Cognitive Processes, Computation, Models
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Zheng Liu; Jiahui Wen; Yikang Liu; Chuan-Peng Hu – British Journal of Educational Psychology, 2024
Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…
Descriptors: Self Concept, Meta Analysis, Student Attitudes, Models
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Natalia Riapina – Business and Professional Communication Quarterly, 2024
This article presents a conceptual framework for integrating AI-enabled business communication in higher education. Drawing on established theories from business communication and educational technology, the framework provides comprehensive guidance for designing engaging learning experiences. It emphasizes the significance of social presence,…
Descriptors: Artificial Intelligence, Business Communication, Higher Education, Technology Uses in Education
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Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
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Vegard Gjerde; Sivert Hagane – Physical Review Physics Education Research, 2024
Peer Instruction gives practice in the abstract language of physics, addresses common misconceptions among students, and is more effective than traditional lecturing. However, it is not clear what makes Peer Instruction effective nor how we might improve the method. An emerging perspective is that what makes Peer Instruction effective is how it…
Descriptors: Science Instruction, Peer Teaching, Scientific Concepts, Models
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Tom Reshef-Israeli; Shulamit Kapon – Online Submission, 2024
As problems become increasingly complex, science educators need to better understand how new knowledge is constructed and applied in heterogeneous team collaborations, and how to teach students to productively engage in these processes. We discuss the emergence of insights in collaborative sensemaking and suggest a model that articulates the…
Descriptors: Comprehension, Constructivism (Learning), Teaching Methods, Learner Engagement
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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
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Kim, Dan; Opfer, John E. – Cognitive Science, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Kim, Dan; Opfer, John E. – Grantee Submission, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Ménager, David H. – ProQuest LLC, 2021
This dissertation presents a novel theory of event memory along with an associated computational model that embodies the claims of view which is integrated within a cognitive architecture. Event memory is a general-purpose storage for personal past experience. Literature on event memory reveals that people can remember events by both the…
Descriptors: Artificial Intelligence, Computer Software, Models, Information Processing
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