Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 27 |
Since 2016 (last 10 years) | 54 |
Since 2006 (last 20 years) | 244 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
Practitioners | 26 |
Researchers | 23 |
Teachers | 13 |
Counselors | 2 |
Parents | 1 |
Policymakers | 1 |
Location
United Kingdom | 4 |
Australia | 3 |
Canada | 2 |
China | 2 |
France | 2 |
Netherlands | 2 |
North Carolina | 2 |
Sweden | 2 |
Washington | 2 |
Arizona | 1 |
California | 1 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Dinsmore, Daniel L.; Fryer, Luke K.; Dumas, Denis G. – Educational Psychology Review, 2023
The literature on cognitive processing and strategic processing is murky with regard to how these types of processing influence learning. One reason for this is that the frameworks used to investigate these relations have separately focused on different aspects related to cognitive processing with little integration between them. To address these…
Descriptors: Cognitive Processes, Models, Barriers, Learning
Slavit, David; Lesseig, Kristin; Simpson, Amber – Journal of Pedagogical Research, 2022
The goal of this paper is to share an analytic framework for understanding Students? Ways of Thinking (SWoT) in STEM-rich learning environments. Before revealing our refined coding framework, we detail the nature of our collaborations and the various analytic decisions that led to its formation. These collaborations supported our collective…
Descriptors: Thinking Skills, STEM Education, Cognitive Processes, Models
Rott, Benjamin; Specht, Birte; Knipping, Christine – ZDM: Mathematics Education, 2021
Complementary to existing "normative" models, in this paper we suggest a descriptive phase model of problem solving. Real, not ideal, problem-solving processes contain errors, detours, and cycles, and they do not follow a predetermined sequence, as is presumed in normative models. To represent and emphasize the non-linearity of empirical…
Descriptors: Mathematics Skills, Problem Solving, Models, Cognitive Processes
Skulmowski, Alexander; Nebel, Steve; Remmele, Martin; Rey, Günter Daniel – Educational Psychology Review, 2022
The use of realistic visualizations has gained considerable interest due to the proliferation of virtual reality equipment. This review is concerned with the theoretical basis, technical implementation, cognitive effects, and educational implications of using realistic visualizations. Realism can be useful for learners, but in several studies,…
Descriptors: Realism, Learning Processes, Visualization, Cognitive Processes
Löhr, Guido; Michel, Christian – Cognitive Science, 2022
We propose a cognitive-psychological model of linguistic intuitions about copredication statements. In copredication statements, like "The book is heavy and informative," the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth-conditional semantics. In this paper, we…
Descriptors: Cognitive Processes, Intuition, Decision Making, Ethics
Thijs Loonstra; Valentina C. Tassone; Zoë Robaey; Perry den Brok – Environmental Education Research, 2025
While environmental problems are urgent in modern society, they are especially difficult to tackle because of their normative and politically controversial nature. Universities may choose different theoretical paradigms for the teaching of environmental problems. However, limited theoretical and/or practical analysis has been undertaken of the…
Descriptors: Environmental Education, Models, Social Problems, Outcomes of Education
Schukajlow, Stanislaw; Kaiser, Gabriele; Stillman, Gloria – Mathematical Thinking and Learning: An International Journal, 2023
Mathematical modeling and applications are an important part of curriculum and considered to be important for students' current and future lives. In this contribution, we focus on mathematical modeling from a cognitive prospective. Following embedding the cognitive perspective within the discourse of mathematical modeling, we describe some of the…
Descriptors: Mathematics Instruction, Metacognition, Mathematical Models, Learning Activities
Wang, Tingting; Lajoie, Susanne P. – Educational Psychology Review, 2023
Although cognitive load (CL) and self-regulated learning (SRL) have been widely recognized as two determinant factors of students' performance, the integration of these two factors is still in its infancy. To further specify why and how CL links with SRL, we first conducted an overview to describe the multiple dimensions of cognitive load (i.e.,…
Descriptors: Cognitive Ability, Metacognition, Cognitive Processes, Correlation
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
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
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
Shearer, Rick L.; Yu, Junxiu; Peng, Xinyun – Learning: Research and Practice, 2021
Within the fields of learning design, instructional systems and educational psychology, cognitive load has been discussed and debated for a number of years. The impact of course designs on learning process is still questioned, and how we learn continues to be an intriguing question. The fields of working memory (WM) and cognitive load (CL) have…
Descriptors: Cognitive Processes, Difficulty Level, Short Term Memory, Systems Approach
Khong, Hou Keat; Kabilan, Muhammad Kamarul – Computer Assisted Language Learning, 2022
The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for…
Descriptors: Second Language Instruction, Cognitive Processes, Difficulty Level, Self Determination
Hoogerheide, Vincent; Roelle, Julian – Applied Cognitive Psychology, 2020
Decades of research has shown that example-based learning is an effective instructional strategy for learning new skills. The field of learning from examples is seeing a shift in focus towards more innovative and use-inspired research, in part because the use of examples for informal and formal learning purposes has mushroomed. This special issue…
Descriptors: Observational Learning, Problem Solving, Cognitive Processes, Difficulty Level