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Süleyman Özdel; Can Sarpkaya; Efe Bozkir; Hong Gao; Enkelejda Kasneci – International Educational Data Mining Society, 2025
Transforming educational technologies through the integration of large language models (LLMs) and virtual reality (VR) offers the potential for immersive and interactive learning experiences. However, the effects of LLMs on user engagement and attention in educational environments remain open questions. In this study, we utilized a fully…
Descriptors: Technology Uses in Education, Educational Technology, Artificial Intelligence, Computer Simulation
Pellas, Nikolaos – Journal of Computer Assisted Learning, 2023
Background: Owing to the exponential growth of three-dimensional (3D) environments amongst researchers and educators to create simulation games (SGs) in primary education, there is a growing interest to examine their potential support in computer science courses instead of visual programming environments. Objectives: This study explores the…
Descriptors: Computation, Thinking Skills, Programming, Skill Development
Taylan, Rukiye Didem – International Journal of Science and Mathematics Education, 2018
This study explored whether pre-service teachers' (PSTs') lesson analysis skills during a teacher education course in the country of Turkey were related to their skills of lesson planning. PSTs' lesson analysis skills during fieldwork were assessed by their attention to and interpretation of student thinking and learning, and how it is influenced…
Descriptors: Preservice Teachers, Mathematics Education, Lesson Plans, Teaching Skills
Xu, Jianzhong – Journal of Educational Research, 2018
The author examined 2 distinctive aspects of emotion regulation in mathematics homework, including emotion management and cognitive reappraisal. Participants were 1,799 high school students from 46 classes in China. Two multilevel models were run, 1 with emotion management and another with cognitive reappraisal as the dependent variable. Both…
Descriptors: Homework, Emotional Response, Mathematics Instruction, High School Students
Jamniczky, Heather A.; Cotton, Darrel; Paget, Michael; Ramji, Qahir; Lenz, Ryan; McLaughlin, Kevin; Coderre, Sylvain; Ma, Irene W. Y. – Anatomical Sciences Education, 2017
Ultrasonography is increasingly used in medical education, but its impact on learning outcomes is unclear. Adding ultrasound may facilitate learning, but may also potentially overwhelm novice learners. Based upon the framework of cognitive load theory, this study seeks to evaluate the relationship between cognitive load associated with using…
Descriptors: Diagnostic Tests, Cognitive Processes, Difficulty Level, Anatomy
Middei, Silvia; Spalloni, Alida; Longone, Patrizia; Pittenger, Christopher; O'Mara, Shane M.; Marie, Helene; Ammassari-Teule, Martine – Learning & Memory, 2012
The modulation of synaptic strength associated with learning is post-synaptically regulated by changes in density and shape of dendritic spines. The transcription factor CREB (cAMP response element binding protein) is required for memory formation and in vitro dendritic spine rearrangements, but its role in learning-induced remodeling of neurons…
Descriptors: Learning, Neurology, Brain, Animals
Van der Molen, M. J. W.; Van der Molen, M. W.; Ridderinkhof, K. R.; Hamel, B. C. J.; Curfs, L. M. G.; Ramakers, G. J. A. – Brain and Cognition, 2012
The ability to flexibly adapt to the changing demands of the environment is often reported as a core deficit in fragile X syndrome (FXS). However, the cognitive processes that determine this attentional set-shifting deficit remain elusive. The present study investigated attentional set-shifting ability in fragile X syndrome males with the…
Descriptors: Mental Age, Age, Down Syndrome, Scoring
Brandriet, Alexandra R.; Ward, Rose Marie; Bretz, Stacey Lowery – Chemistry Education Research and Practice, 2013
Ausubel and Novak's construct of "meaningful learning" stipulates that substantive connections between new knowledge and what is already known requires the integration of thinking, feeling, and performance (Novak J. D., (2010), "Learning, creating, and using knowledge: concept maps as facilitative tools in schools and…
Descriptors: Chemistry, Structural Equation Models, Learning, Cognitive Processes
Hindal, Huda; Reid, Norman; Whitehead, Rex – European Journal of Educational Research, 2013
It is well established that girls and boys perform differently in traditional examinations in most countries. This study looks at a sample of 754 school students in Kuwait (aged about 13) and explores how boys and girls differ in the performance in a range of tests related to learner characteristics. The fundamental question is how boys and girls…
Descriptors: Foreign Countries, Student Characteristics, Learning, Adolescents
Vickery, Timothy J.; Sussman, Rachel S.; Jiang, Yuhong V. – Journal of Experimental Psychology: Human Perception and Performance, 2010
The human visual system is constantly confronted with an overwhelming amount of information, only a subset of which can be processed in complete detail. Attention and implicit learning are two important mechanisms that optimize vision. This study addressed the relationship between these two mechanisms. Specifically we asked, Is implicit learning…
Descriptors: Prompting, Short Term Memory, Vision, Attention
Perales, Jose C.; Catena, Andres; Maldonado, Antonio – Learning and Motivation, 2004
This work aimed at demonstrating, first, that naive reasoners are able to infer the existence of a relationship between two events that have never been presented together and, second, the sensitivity of such inference to the causal structure of the task. In all experiments, naive participants judged the strength of the causal link between a cue A…
Descriptors: Inferences, Correlation, Cognitive Processes, Learning
Peer reviewedStark, Robin; Renkl, Alexander; Gruber, Hans; Mandl, Heinz – Instructional Science, 1998
Describes a replication study that explored differences between intermediate experts and novices mastering recurrent demands using a computer-based simulation. Functionality of mental models, declarative knowledge, acceptance of the learning environment, and intrinsic motivation to learn are discussed, and results that show no advantage for…
Descriptors: Cognitive Processes, Competence, Computer Simulation, Correlation
Williams, Ben A.; Pearlberg, Stephen L. – Intelligence, 2006
College undergraduates learned word lists involving three-term contingencies (stimulus-response-outcome). Learning rate was correlated approximately 0.5 with scores on Raven's Advanced Progressive Matrices (Raven) but did not correlate significantly with several tasks (inspection time, card-sorting, trail-making, PASAT) shown to be associated with…
Descriptors: Undergraduate Students, Word Lists, Learning, Correlation
Murray, Frank B.; Armstrong, Sharon L. – 1975
A conservation problem of numerical equivalence which 80% of adults reliably fail and 40% of third graders pass was developed, and responses of 188 subjects (Grades 2, 3, 5, 7, 9, 11 and college) to it and related number conservation and probability problems indicated that the differences in nonconservation were rooted in subjects' different…
Descriptors: Adults, Cognitive Development, Cognitive Processes, Comparative Analysis
Peer reviewedLee, Seong-Soo – Contemporary Educational Psychology, 1979
A set of immediate memory-span tests, concept- and rule-learning tasks, and an IQ test were administered to adolescents. A color-form memory factor and IQ substantially predicted rule-learning proficiency. Effects of memory aids appeared to induce conceptual rules and serve as a base for rehearsing information. (Author/RD)
Descriptors: Cognitive Processes, Concept Formation, Correlation, Factor Structure
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