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Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
Kelsey J. MacKay; Filip Germeys; Wim Van Dooren; Lieven Verschaffel; Koen Luwel – Educational Studies in Mathematics, 2025
Rational numbers, such as fractions and decimals, are harder to understand than natural numbers. Moreover, individuals struggle with fractions more than with decimals. The present study sought to disentangle the extent to which two potential sources of difficulty affect secondary-school students' numerical magnitude understanding: number type…
Descriptors: Number Concepts, Numeracy, Secondary School Mathematics, Secondary School Students
Xiaoming Zhai; Matthew Nyaaba; Wenchao Ma – Science & Education, 2025
This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four…
Descriptors: Artificial Intelligence, National Competency Tests, Elementary Secondary Education, Problem Solving
Ling Wu; Shuxin Wang – Education and Information Technologies, 2025
Contemporary technological advancements offer new possibilities for enhancing user creativity. We aimed to explore how technology can boost student creativity to meet the twenty-first century's demand for innovative talent. Based on the 4P model of creativity (person, process, product, and press) and constructivist theory, a virtual reality (VR)…
Descriptors: Computer Simulation, Brain, Biofeedback, Creativity
Katrin Schuessler; Vanessa Fischer; Maik Walpuski – Instructional Science: An International Journal of the Learning Sciences, 2025
Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the…
Descriptors: Cognitive Processes, Difficulty Level, Rating Scales, Construct Validity
Élisabeth Bélanger; Lorie-Marlène Brault Foisy; Steve Masson – International Journal of Research & Method in Education, 2025
The main objective of this methodological article is to discuss the contribution of response times as a tool in education research. The use of response times in research is largely a legacy of the work carried out in cognitive psychology, which has made it possible to describe the cognitive processes involved in information processing. In…
Descriptors: Educational Research, Reaction Time, Cognitive Processes, Research Methodology
Enming Zhang; Yinghua Ye; Shuqian Ni – Asia-Pacific Education Researcher, 2025
Subject (e.g., math) problems often have deep rationales and concepts underlying them. Accordingly, when students solve these problems, they are prone to making errors that expose their misunderstandings and are difficult to correct. Previous research has shown the benefits of teacher feedback in learning from errors, but the effectiveness of…
Descriptors: Feedback (Response), Error Patterns, Error Correction, Cognitive Processes
Idit Adler; Liat Liberman; Ilana Dubovi – Journal of Computer Assisted Learning, 2025
Background: This study investigates the effect of immersion levels in virtual reality (VR) learning environments on the acquisition of declarative and procedural knowledge. Prior research indicates that immersion affects cognitive load, but its impact on declarative and procedural knowledge outcomes remains unclear. This study utilises a…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Outcomes of Education
David Squires; Sameera Massey; Robin Pizzitola; Carmen Tejeda-Delgado; David D. Jimenez – Journal of Educational Technology, 2025
Massive open online courses (MOOCs) have grown in popularity since 2008 but suffer from low completion rates, as low as 2%. This study examines how designing MOOCs with consideration of cognitive load can improve retention and learning outcomes, particularly for adult learners such as educators. Employing a design-based research methodology, five…
Descriptors: MOOCs, Program Design, Difficulty Level, Cognitive Processes
Baer, Carolyn; Odic, Darko – Child Development, 2022
Strategic collaboration according to the law of comparative advantage involves dividing tasks based on the relative capabilities of group members. Three experiments (N = 405, primarily White and Asian, 45% female, collected 2016-2019 in Canada) examined how this strategy develops in children when dividing cognitive labor. Children divided…
Descriptors: Cognitive Processes, Difficulty Level, Group Dynamics, Foreign Countries
Skulmowski, Alexander; Xu, Kate Man – Educational Psychology Review, 2022
Cognitive load theory has been a major influence for the field of educational psychology. One of the main guidelines of the theory is that extraneous cognitive load should be reduced to leave sufficient cognitive resources for the actual learning to take place. In recent years, research regarding various design factors, in particular from the…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Educational Psychology
Krieglstein, Felix; Beege, Maik; Rey, Günter Daniel; Ginns, Paul; Krell, Moritz; Schneider, Sascha – Educational Psychology Review, 2022
For more than three decades, cognitive load theory has been addressing learning from a cognitive perspective. Based on this instructional theory, design recommendations and principles have been derived to manage the load on working memory while learning. The increasing attention paid to cognitive load theory in educational science quickly…
Descriptors: Cognitive Processes, Difficulty Level, Learning Theories, Test Reliability
Liu, Lingyan; Zhao, Bo; Rao, Yiqiang – International Journal of Information and Communication Technology Education, 2022
A lot of studies have shown that there is an "inverse U-curve" relationship between learners' grades and cognitive load. Learners' grades are closely related to their learning behavior characteristics on online learning. Is there any relationship between online learners' behavior characteristics and cognitive load? Based on this, the…
Descriptors: Cognitive Processes, Difficulty Level, Learning Analytics, Electronic Learning
Newman, Vera E.; Yee, Hannah F.; Walker, Adrian R.; Toumbelekis, Metaxia; Most, Steven B. – Cognitive Research: Principles and Implications, 2021
People often need to update representations of information upon discovering them to be incorrect, a process that can be interrupted by competing cognitive demands. Because anxiety and stress can impair cognitive performance, we tested whether looming threat can similarly interfere with the process of updating representations of a statement's…
Descriptors: Memory, Cognitive Processes, Difficulty Level, Anxiety
Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting

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