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Kuhlmann, Shelbi L.; Bernacki, Matthew L.; Greene, Jeffrey A. – New Directions for Teaching and Learning, 2023
The affordances of computer-based learning environments make them powerful tools for conveying information in higher education. However, to most effectively use these environments, students must be adept at self-regulating their learning. This self-regulation is effortful, including a myriad of processes, including defining tasks, making plans,…
Descriptors: Multimedia Instruction, Learning Theories, Learning Strategies, Electronic Learning
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Kadir, Munirah Shaik; Yeung, Alexander Seeshing; Caleon, Imelda Santos; Diallo, Thierno M. O.; Forbes, Anne; Koh, Wei Xun – Applied Cognitive Psychology, 2023
Load reduction instruction (LRI) is an instructional approach designed to manage the cognitive load on students as they learn complex learning materials. According to Cognitive Load Theory, complex learning is associated with high cognitive load and when not effectively managed, could impede learning. Inquiry-based learning with hands-on…
Descriptors: Teaching Methods, Cognitive Processes, Difficulty Level, Inquiry
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Chang, Chi-Cheng; Chen, Tseng-Chuan – Education and Information Technologies, 2023
The study aimed to examine how emotional design and digitalization/mobilization of textbooks influence students' emotion, cognitive load, and cognitive performance. Research samples were 147 undergraduate students enrolling in the "Introduction to Internet" course at a university. They were randomly divided into three groups: 51 students…
Descriptors: Textbooks, Undergraduate Students, Psychological Patterns, Cognitive Processes
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Ngu, Bing Hiong; Phan, Huy P. – European Journal of Psychology of Education, 2023
The design principles of cognitive load theory and learning by analogy has independently contributed to our understanding why an instruction will or will not work. In an experimental study involving 97 Year 9 Australian students conducted in regular classrooms, we evaluated the effect of the unguided problem-solving approach, worked examples…
Descriptors: Instructional Effectiveness, Problem Solving, Mathematics Skills, Trigonometry
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Lee, Carol D. – Reading Teacher, 2023
This paper pushes beyond current debates over what is being called the science of reading to articulate a multidimensional complex conception of what is entailed in reading comprehension. Reading comprehension entails not only cognitive processes, but equally important is how issues of identity along multiple dimensions, perceptions of tasks and…
Descriptors: Reading Comprehension, Reading Instruction, Elementary Secondary Education, Cognitive Processes
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Pinar Ozel; Duygu Mutlu-Bayraktar; Tugba Altan; Veysel Coskun; Ali Olamat – Interactive Learning Environments, 2023
This study aims to conduct a systematic review of studies on neuroimaging measurements used in multimedia learning research. The particular aim of the review is to explore how cognitive processes in multimedia learning are studied with relevant variables through neuroimaging technology. Studies that met the inclusive criteria were selected and…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Multimedia Materials
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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
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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
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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
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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
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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
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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
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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
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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
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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
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