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Gursen Sisman; Dilara Demirbulak; Ayse Yilmaz Virlan – European Journal of Education, 2025
This descriptive study aimed to investigate neuromyth prevalence among English language teachers. Data were collected through a digital questionnaire administered to 114 English teachers in Istanbul, Turkey, with the mediation of the Ministry of National Education (MoNE). Most participants were female secondary school teachers working at public…
Descriptors: Incidence, Misconceptions, Neurosciences, Brain
Tongal, Aysegül; Dagyar, Miray – Problems of Education in the 21st Century, 2022
Learning styles, cerebral dominance and chronotypes are among the factors that have been determined to be effective on individuals' learning. It is stated in the literature that these three variables are interrelated or affect each other. Therefore, the aim of the study is to determine the extent to which students' cerebral dominance predicts…
Descriptors: Cognitive Style, Measures (Individuals), Foreign Countries, Secondary School Students
Chih-Hung Wu; Kai-Di Tang; Kang-Lin Peng; Yueh-Min Huang; Chih-Hsing Liu – Educational Psychology, 2024
Cognitive styles and affective factors are critical factors affecting e-learning performance in this digital era. Learners can enhance their affective learning with a correct cognitive style. This study aims to examine various cognitive styles with effective learning measurement tools through subjective and objective instruments by observing…
Descriptors: Electronic Learning, Cognitive Style, Cognitive Processes, Difficulty Level
Lin, Xuefen; Tang, Wei; Ma, Weifeng; Liu, Yang; Ding, Feng – Education and Information Technologies, 2023
The use of video lectures has become a core feature of digital learning, but how the media diversity carried in videos affects learning experience has been rarely studied. Adopting a two-factor experimental design, this study used cognitive style questionnaires, brain wave detection, cognitive load scale, and post-test to explore the impacts of…
Descriptors: Cognitive Style, Learning Experience, Programming, Video Technology
Sahin, Seyma; Ökmen, Burcu; Kiliç, Abdurrahman – Excellence in Education Journal, 2023
The purpose of this research was to evaluate the effectiveness of the brain-based learning style cycle. In the research, a pre-test and post-test quasi-experimental design without a control group was used. The research study group consisted of sophomore (2nd year) students studying at Duzce University Faculty of Education, Psychological Counseling…
Descriptors: Brain, Cognitive Style, Metacognition, Attitude Measures
Wijaya, Adi; Setiawan, Noor Akhmad; Shapiai, Mohd Ibrahim – Electronic Journal of e-Learning, 2023
This study aims to provide a comprehensive overview of the current state and potential future research in learning style detection. With the increasing number and diversity of research in this area, a quantitative approach is necessary to map out current themes and identify potential areas for future research. To achieve this goal, a bibliometric…
Descriptors: Bibliometrics, Cognitive Style, Diagnostic Tests, Content Analysis
Birknerová, Zuzana; Tej, Juraj; Vrábliková, Mária – International Journal of Instruction, 2022
Currently is necessary to identify own way of cognition and information processing, so called the cognitive style, which is connected with learning style. Contribution contains theoretical information about many typologies of learning styles (e.g.. according to brain hemispheres dominance, intelligence, learning motivation, etc.) and research is…
Descriptors: Management Development, Correlation, Schemata (Cognition), Cognitive Style
R. Scott Lambert; Chad Hoggan – Journal of The First-Year Experience & Students in Transition, 2024
This article presents the design and results of a workshop for first-year college students based on a conceptual framework that teaching self-regulated learning practices would lead to greater academic self-efficacy and success for students. Twenty-eight undergraduate students attended this voluntary workshop. Pre- and post-workshop surveys were…
Descriptors: Metacognition, Learning Strategies, Undergraduate Students, Correlation
Hughes, Mathew; Hughes, Paul; Hodgkinson, Ian R. – Studies in Higher Education, 2017
The question of "how we learn" continues to direct scholarly debate, yet undergraduate teaching is typically designed to homogenise the learning environment. This is despite heterogeneous learning outcomes ensuing for students, owing to their different learning styles. Accordingly, we examine the relationship between teaching…
Descriptors: Teaching Methods, Undergraduate Students, Cognitive Style, Brain
Zhang, Man; Wang, Xin; Wang, Fenqi; Liu, Huanhuan – Journal of Psycholinguistic Research, 2020
The current study aims to investigate how Field independent (FI) and Field-dependent (FD) cognitive styles modulate bilingual language control during a joint language switching task. The cognitive styles were measured by the Group Embedded Figures Test (GEFT). The FI group with a preference for autonomous information processing was sensitive to…
Descriptors: Cognitive Style, Code Switching (Language), Bilingualism, Language Processing
Eitel, Alexander; Prinz, Anja; Kollmer, Julia; Niessen, Lea; Russow, Jessica; Ludäscher, Marvin; Renkl, Alexander; Lindner, Marlit Annalena – Psychology Learning and Teaching, 2021
In this study, we present the newly developed "Misconceptions about Multimedia Learning Questionnaire" (MMLQ), we evaluate its psychometric properties (item difficulties, scale reliabilities, and internal structure), and we use it to examine the prevalence of four different misconceptions about multimedia learning in student teachers and…
Descriptors: Multimedia Instruction, Misconceptions, Questionnaires, Test Reliability
Günes, Gökhan; Sahin, Volkan – Education 3-13, 2019
This study examines pre-school children's learning styles by utilising a mathematical model. The model uses a Euclidean geometry algorithm to generate a graphical representation of the learning styles. The algorithm of the developed mathematical model was developed as a practical application of the theoretical assumptions. Index of Learning Styles…
Descriptors: Mathematical Models, Cognitive Style, Preschool Children, Early Childhood Education
Lim, Doo Hun; Chai, Dae Seok; Park, Sunyoung; Doo, Min Young – European Journal of Training and Development, 2019
Purpose: Although the field of neuroscience has evolved dramatically, little research has attempted to conceptualize the impact of neuroscience on the field of human resource development (HRD). The purpose of this study is an integrative review of the influential relationship between neuroscience and workplace learning including applicable…
Descriptors: Neurosciences, Cognitive Style, Human Resources, Labor Force Development
Nancekivell, Shaylene E.; Shah, Priti; Gelman, Susan A. – Journal of Educational Psychology, 2020
Decades of research suggest that learning styles, or the belief that people learn better when they receive instruction in their dominant way of learning, may be one of the most pervasive myths about cognition. Nonetheless, little is known about what it means to believe in learning styles. The present investigation uses one theoretical…
Descriptors: Cognitive Style, Misconceptions, Psychology, Predictor Variables
Eldenfria, Atef; Al-Samarraie, Hosam – Education and Information Technologies, 2019
The differences in learning preferences can be attributed to the differences in individuals' cognitive capacities which may lead them to undertake a certain behavior. It is argued that characterizing the learning complexity based on the volume of information presented to learners can eliminate any avoidable load on working memory. This study…
Descriptors: Diagnostic Tests, Short Term Memory, Cognitive Style, Cognitive Ability