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Isabelle C. de Vink; Lisette Hornstra; Evelyn H. Kroesbergen – Creativity Research Journal, 2024
Creative thinking is an important aspect of education. However, students differ widely in their ability to think creatively. Working memory might explain these differences. Therefore, this study focuses on how different aspects of WM can explain differences in divergent thinking, both separately and conjointly. To do so, latent profile analysis…
Descriptors: Foreign Countries, Grade 4, Grade 5, Creative Thinking
Klaus Oberauer; Hsuan-Yu Lin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Research on working memory (WM) has followed two largely independent traditions: One concerned with memory for sequentially presented lists of discrete items, and the other with short-term maintenance of simultaneously presented arrays of objects with simple, continuously varying features. Here we present a formal model of WM, the interference…
Descriptors: Foreign Countries, College Students, Short Term Memory, Visual Learning
Barutchu, Ayla; Fifer, Joanne M.; Shivdasani, Mohit N.; Crewther, Sheila G.; Paolini, Antonio G. – Child Development, 2020
This study assessed the developmental profile of unisensory and multisensory processes, and their contribution to children's intellectual abilities (8- and 11-year olds, N = 38, compared to adults, N = 19) using a simple audiovisual detection task and three incidental associative learning tasks with different sensory signals: visual-verbal with…
Descriptors: Multisensory Learning, Associative Learning, Intelligence Quotient, Cognitive Ability
Luo, Zhanni; O'Steen, Billy; Brown, Cheryl – Interactive Technology and Smart Education, 2020
Purpose: To build adaptive learning systems for a better learning experience, designers need to identify users' behaviour patterns and provide adaptive learning materials accordingly. This study involved a quasi-experiment and also this paper aims to investigate the accuracy of eye-tracking technology in identifying visualisers and verbalisers and…
Descriptors: Eye Movements, Computer Assisted Testing, Educational Technology, Cognitive Style
Burak, Durmus; Gültekin, Mehmet – International Journal on Social and Education Sciences, 2021
In this study, it is aimed to develop a measurement tool that can determine the learning styles of students in order to provide efficient learning environments in primary schools. For this purpose, a draft scale form consisting of 24 items defining verbal and visual learning styles on theoretical basis was prepared. Then, using the draft scale…
Descriptors: Cognitive Style, Learning Modalities, Visual Learning, Verbal Learning
Kurniawan, Citra; Setyosari, Punaji; Kamdi, Waras; Ulfa, Saida – Problems of Education in the 21st Century, 2019
The purpose of this research was to build a classification model and to measure the correlation of self-efficacy with visual-verbal preferences using data mining methods. This research used the J48 classifier and linear projection method as an approach to see patterns of data distribution between self-efficacy and visual-verbal preferences. The…
Descriptors: Engineering Education, Self Efficacy, Preferences, Verbal Learning
Koc-Januchta, Marta M.; Höffler, Tim N.; Prechtl, Helmut; Leutner, Detlev – Educational Technology Research and Development, 2020
The aim of this study was to investigate the role of visual/verbal cognitive style and interactivity level in dynamic and non-dynamic multimedia learning environments. A group of 235 biology students learned about photosynthesis either from a computer-based animation or a series of static pictures with spoken explanatory text. Participants were…
Descriptors: Cognitive Style, Interaction, Visualization, Multimedia Instruction
Zhou, Ni; Wong, Hai Ming; McGrath, Colman – Journal of Applied Research in Intellectual Disabilities, 2019
Background: A visual-verbal integration model (VVIM) was used to train parents and their children with intellectual and developmental disabilities (IDD) to dispense a pea-sized amount of fluoridated toothpaste, aiming to balance the occurrence of dental caries and fluorosis. Method: Participants were 370 pairs of IDD preschool children and their…
Descriptors: Intellectual Disability, Intervention, Dental Health, Preschool Children
Wouters, Pieter; van der Meulen, Esmee S. – International Journal of Game-Based Learning, 2020
Adapting learning to the level and preferences of learners and game-based learning have increasingly received much attention. The current study examined whether learning styles based on the Felder-Silverman classification (perception, input, processing and organization of information) influence learning in GBL. Only the input and processing scales…
Descriptors: Cognitive Style, Educational Games, Preferences, Mathematics Education
Evers, Katerina; Chen, Sufen – Journal of Educational Computing Research, 2021
This study investigated how learning styles (visual/verbal) and the use of Automatic Speech Recognition (ASR) software affect English as a Second Language adult learners' improvement during a 12-week course focusing on pronunciation. In the control group (n = 28), the teacher corrected and gave feedback on the adult learners' pronunciation;…
Descriptors: Automation, Computer Assisted Instruction, Computer Software, Pronunciation Instruction
Neupane, Ramesh – ProQuest LLC, 2019
The research purpose was to investigate the differences between learning preferences (i.e., Active-Reflective, Sensing-Intuitive, Visual-Verbal, and Sequential-Global) determined by the Index of Learning Style and gender (i.e., Male and Female) in regards to standardized achievement multiple-choice test performance determined by the Illinois Nurse…
Descriptors: Nurses, Allied Health Personnel, Cognitive Style, Preferences
Baukal, Charles E.; Ausburn, Lynna J. – European Journal of Engineering Education, 2016
Many have argued for increased continuing education for working engineers, but relatively little research has been done on how to most effectively teach that group. Many have also recommended using learner characteristics to enhance learning, but relatively little is known about the learner characteristics of working engineers. In the study…
Descriptors: Engineering, Technical Occupations, Cognitive Style, Learning Modalities
Beckmann, Jennifer; Bertel, Sven; Zander, Steffi – International Association for Development of the Information Society, 2015
Adaptive e-Learning systems are able to adjust to a user's learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for e-Learning, furthered in part by the recent rapid increase in the use of MOOCs (Massive Open Online Courses). A lack of general, individual, and situational data…
Descriptors: Electronic Learning, Cognitive Style, Visual Learning, Verbal Learning
Andres, Hayward P.; Akan, Obasi H. – Journal of International Education in Business, 2015
Purpose: The purpose of this paper is to determine if "fit" and "non-fit" between authoritarian versus demonstrator teaching and visual versus verbal learning preferences differ in impact on Chinese MBA student academic performance in a large local urban Chinese university setting. In addition, the role of Chinese cultural…
Descriptors: Foreign Countries, Cognitive Style, Graduate Students, Masters Degrees
Wegbreit, Ezra; Suzuki, Satoru; Grabowecky, Marcia; Kounios, John; Beeman, Mark – Journal of Problem Solving, 2012
Behavioral and neuroimaging findings indicate that distinct cognitive and neural processes underlie solving problems with sudden insight. Moreover, people with less focused attention sometimes perform better on tests of insight and creative problem solving. However, it remains unclear whether different states of attention, within individuals,…
Descriptors: Verbal Learning, Problem Solving, Visual Learning, Attention