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Chun-Ying Chen – ACM Transactions on Computing Education, 2025
This study examined the effects of worked examples with different explanation types and novices' motivation on cognitive load, and how this subsequently influenced their programming problem-solving performance. Given the study's emphasis on both instructional approaches and learner motivation, the Cognitive Theory of Multimedia Learning served as…
Descriptors: Models, Learning Motivation, Cognitive Processes, Difficulty Level
Leung, Angela K.-y.; Koh, Brandon; Phang, Riyang; Lee, Sean T. H.; Huang, Tengjiao – Journal of Creative Behavior, 2022
Research has recognized that people regulate their emotions not only for seeking pleasurable experiences but also for receiving instrumental gains. We draw on the theoretical framework of instrumental emotion regulation (IER; Tamir, 2005, 2009) to shed new light on the relationships among creativity, emotion, and psychological well-being. We…
Descriptors: Creativity, Well Being, Emotional Response, Self Control
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
Wang, Rui-Ni; Chang, Yuan-Cheng – International Journal of Educational Methodology, 2022
This research's aim was to explore the role of cognitive flexibility in mediating the effect of intrinsic motivation on the creativity of junior high school students. A creativity scale, an intrinsic motivation inventory and a cognitive flexibility inventory were utilized to investigate a sample of junior high school students in Shaanxi Province…
Descriptors: Student Motivation, Junior High School Students, Creativity, Cognitive Processes
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
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
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
Shi, Guanxue; Lu, Shanshan; Bi, Hualin – Journal of Baltic Science Education, 2023
Explaining natural phenomena by determining causal relationships is conducive to understanding scientific concepts. In science education, numerous studies examine students' causal reasoning. Given the importance of core ideas for students' understanding of how and why a phenomenon occurs, the study focused on the relationship between students'…
Descriptors: Secondary School Students, Thinking Skills, Cognitive Processes, Concept Formation
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
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
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
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
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
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
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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