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Peer reviewed
Direct linkMejia-Puig, Luis; Chandrasekera, Tilanka – International Journal of Technology and Design Education, 2023
In design education, immersive virtual reality (VR) has grown as a visualization and interaction tool. Nonetheless, little research has been done on how individuals self-perception within VR affects their performance. This self-awareness is carried out using avatars that depict the virtual body through multiple points of view. This article…
Descriptors: Computer Simulation, Design, Human Body, Cognitive Processes
Weingarden, Merav; Heyd-Metzuyanim, Einat – Journal of Mathematics Teacher Education, 2023
In this study, we examine "what went wrong" in our professional development program for encouraging cognitively demanding instruction, focusing on the difficulties we encountered in using an observational tool for evaluating this type of instruction and reaching inter-rater reliability. We do so through the lens of a discursive theory of…
Descriptors: Mathematics Instruction, Interrater Reliability, Cognitive Processes, Difficulty Level
Vernucci, Santiago; García-Coni, Ana; Zamora, Eliana Vanesa; Gelpi-Trudo, Rosario; Andrés, María Laura; Canet-Juric, Lorena – Journal of Cognition and Development, 2023
Cognitive flexibility refers to the ability to rapidly and accurately switch between tasks. It is regarded as a core dimension of executive functions and has been reported to improve during childhood and into early adulthood. For its evaluation, the task-switching paradigm is widely used. Switching between tasks or response sets imposes a series…
Descriptors: Children, Foreign Countries, Age Differences, Change
Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Interactive Learning Environments, 2023
In this paper, we adopted an information-processing perspective to examine the relationship between cognitive engagement and students' performance in a simulation-based training environment. In particular, we examined what forms of cognitive engagement students used while diagnosing virtual patients and whether engagement forms predicted students'…
Descriptors: Medical Students, Cognitive Processes, Learner Engagement, Academic Achievement
Berntsen, Dorthe; Hoyle, Rick H.; Munkholm Møller, Daniel; Rubin, David C. – Applied Cognitive Psychology, 2023
Smartphones are a ubiquitous part of many people's lives, but little is known about their impact on everyday thought processes. Here we introduce the "spontaneous smartphone checking scale" (SSCS)--which measures the tendency to direct attention toward one's smartphone, unpreceded by external prompts (e.g., notifications, or alerts) and…
Descriptors: Handheld Devices, Telecommunications, Measures (Individuals), Attention
Antar, Rafi – E-Learning and Digital Media, 2023
The following article is a thorough literature review, discussing the impact of media technology on brain development in the context of magical thinking. This systematic literature review discusses the impact of video gaming on magical thinking in early childhood. The purpose of this paper is to shed light on how media technology, especially video…
Descriptors: Video Games, Cognitive Processes, Fantasy, Young Children
Yu, Yuhua; Oh, Yongtaek; Kounios, John; Beeman, Mark – Creativity Research Journal, 2023
To solve a new problem, people spontaneously engage multiple cognitive processes. Previous work has identified a diverse set of oscillatory components critical at different stages of creative problem solving. In this project, we use hidden state modeling to untangle the roles of oscillation processes over time as people solve puzzles. Building on…
Descriptors: Creativity, Creative Thinking, Problem Solving, Cognitive Processes
Järvelä, Sanna; Nguyen, Andy; Hadwin, Allyson – British Journal of Educational Technology, 2023
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL…
Descriptors: Artificial Intelligence, Intelligence, Cooperation, Learning Processes
Schukajlow, Stanislaw; Krawitz, Janina; Kanefke, Jonas; Blum, Werner; Rakoczy, Katrin – Educational Studies in Mathematics, 2023
Open mathematical modelling problems that can be solved with multiple methods and have multiple possible results are an important part of school curricula in mathematics and science. Solving open modelling problems in school should prepare students to apply their mathematical knowledge in their current and future lives. One characteristic of these…
Descriptors: Mathematical Models, Cognitive Processes, Barriers, Cues
Lu, Yao; Li, Ke-Ru; Sun, Zhuo; Ma, Ning; Sun, Yi-Fan – Education and Information Technologies, 2023
Collaborative problem-solving (CPS) learning is increasingly valued for its role in promoting higher-order thinking of learners. Despite the widespread application of role scripts in CPS, little is known about the mechanisms by which roles influence learners' cognition and the impact of goal orientation on roles. In this study, we designed role…
Descriptors: Goal Orientation, Cooperative Learning, Problem Solving, Graduate Students
Hurst, Michelle A.; Boyer, Ty W.; Cordes, Sara – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Although difficulties processing both symbolic and nonsymbolic proportion compared with absolute number are well established, the mechanisms involved remain unclear. We investigate four potential explanations to account for better number processing in adulthood: (a) number is more salient than proportion, (b) number is encoded more automatically…
Descriptors: Attention, Numbers, Cognitive Processes, Interference (Learning)
Abbondanza, Filippo; Dale, Philip S.; Wang, Carol A.; Hayiou-Thomas, Marianna E.; Toseeb, Umar; Koomar, Tanner S.; Wigg, Karen G.; Feng, Yu; Price, Kaitlyn M.; Kerr, Elizabeth N.; Guger, Sharon L.; Lovett, Maureen W.; Strug, Lisa J.; van Bergen, Elsje; Dolan, Conor V.; Tomblin, J. Bruce; Moll, Kristina; Schulte-Körne, Gerd; Neuhoff, Nina; Warnke, Andreas; Fisher, Simon E.; Barr, Cathy L.; Michaelson, Jacob J.; Boomsma, Dorret I.; Snowling, Margaret J.; Hulme, Charles; Whitehouse, Andrew J. O.; Pennell, Craig E.; Newbury, Dianne F.; Stein, John; Talcott, Joel B.; Bishop, Dorothy V. M.; Paracchini, Silvia – Child Development, 2023
Handedness has been studied for association with language-related disorders because of its link with language hemispheric dominance. No clear pattern has emerged, possibly because of small samples, publication bias, and heterogeneous criteria across studies. Non-right-handedness (NRH) frequency was assessed in N = 2503 cases with reading and/or…
Descriptors: Children, Adolescents, Language Impairments, Reading Difficulties
Brosnan, Mark; Ashwin, Chris – Autism: The International Journal of Research and Practice, 2023
The Dual Process Theory of Autism proposes that autistic individuals demonstrate greater deliberative (slower) processing alongside reduced (faster) intuitive processing. This study manipulated the reasoning time available to investigate the extent to which deliberative and intuitive processing are sensitive to time context in autism. A total of…
Descriptors: Autism Spectrum Disorders, Cognitive Processes, Thinking Skills, Intuition
Carr, David – Educational Theory, 2023
In the context of the recent revival of virtue ethics, the notion of character formation under the rational guidance of Aristotle's notion of "phronesis," or practical wisdom, has been exalted as the principal aim of moral education. However, this is not unproblematic insofar as the promotion of Aristotelian "phronesis" seems…
Descriptors: Moral Development, Values Education, Ethical Instruction, Philosophy
Chen, Ouhao; Paas, Fred; Sweller, John – Educational Psychology Review, 2023
Educational researchers have been confronted with a multitude of definitions of task complexity and a lack of consensus on how to measure it. Using a cognitive load theory-based perspective, we argue that the task complexity that learners experience is based on element interactivity. Element interactivity can be determined by simultaneously…
Descriptors: Cognitive Processes, Difficulty Level, Task Analysis, Long Term Memory
