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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
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Yang, Lixin; Yang, Guang – Asia Pacific Education Review, 2023
Farmer education and learning have traditionally focused on developing practical farming skills and techniques. Meanwhile, studies on farmer learning and education have not adequately considered its social cognitive dimension. Hence, this study empirically examines farmers' perceptions of and interest in distance learning, involving 1284…
Descriptors: Prediction, Disadvantaged, Agricultural Occupations, Intention
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Tam, Cecilia S. Y.; Phillipson, Shane N.; Phillipson, Sivanes – Creativity Research Journal, 2023
Within Hong Kong educational reforms, creativity is defined as the ability to generate original ideas and solve problems, with schools implementing creativity development in accordance with their own needs. This study tested the hypothesis that Hong Kong Chinese students' adherence to Confucian cultural beliefs and their functions of personal…
Descriptors: Foreign Countries, Cultural Influences, Student Attitudes, Creativity
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Li, Chun; Mu, Xiaolin; Tan, Yuanyuan; Gu, Chuanhua; Hu, Bi Ying; Fan, Cuiying – Interactive Learning Environments, 2023
Much research on brainstorming has found that the power of a team can stimulate individual creativity, and that this influence is more prominent in computer-mediated online interactions. However, creativity appears to depend on the outcome of combining certain environmental factors with certain kinds of Individual characteristics. Two experiments…
Descriptors: Brainstorming, Cues, Environmental Influences, Creativity
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Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
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Zayet, Tasnim M. A.; Ismail, Maizatul Akmar; Almadi, Sara H. S.; Zawia, Jamallah Mohammed Hussein; Mohamad Nor, Azmawaty – Education and Information Technologies, 2023
Online learning has significantly expanded along with the spread of the coronavirus disease (COVID-19). Personalization becomes an essential component of learning systems due to students' different learning styles and abilities. Recommending materials that meet the needs and are tailored to learners' styles and abilities is necessary to ensure a…
Descriptors: Electronic Learning, Individualized Instruction, Artificial Intelligence, Cognitive Style
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Rishi D. Ruttun; Robert D. Macredie – Journal of Educational Multimedia and Hypermedia, 2023
Providing visual instructional aids, such as maps and visual orientation cues, in Hypermedia Learning Systems (HLS) has been argued to reduce the disorientation experienced by learners with specific individual differences. In turn, it has been suggested that providing such aids may lead to improvements in learning performance and learner attitude.…
Descriptors: Visual Aids, Hypermedia, Technology Uses in Education, Individual Differences
Melinda Lee Hall – ProQuest LLC, 2023
It was not known if, or to what extent, there was a statistically significant difference in intrinsic motivation, self-efficacy, and self-regulated learning (SRL) between degree-seeking adult learners who passed versus those who failed, were at-risk of failing, or dropped their most recent online mathematics course in the United States. The…
Descriptors: Learning Strategies, Adult Students, Electronic Learning, Distance Education
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Vui-Yee Koon – Interactive Learning Environments, 2023
Scientific research on mobile learning and its implications on humanistic education has grown tremendously. Within the context of an overview of its forerunners (i.e. educational technology) and critical characteristics concerning the humanistic perspective in education, bibliometric findings on mobile learning publications in humanistic education…
Descriptors: Journal Articles, Electronic Learning, Humanistic Education, Bibliometrics
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Xin Sun; Owen Norton; Shaylene E. Nancekivell – npj Science of Learning, 2023
Three experiments examine how providing learning style information (a student learns hands-on or visually) might influence thinking about that student's academic potential. Samples were American and predominately white and middle-class. In Experiment 1, parents (N = 94) and children (N = 73, 6-12 years) judged students who learn visually as more…
Descriptors: Cognitive Style, Parent Attitudes, Student Attitudes, Teacher Attitudes
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Khalil Aburezeq; László Kasik – Hungarian Educational Research Journal, 2023
Social problem-solving skills are the individual's way for better social adaptation. Therefore, the study aimed to investigate the characteristics of Palestinian adolescents' social problem-solving (Positive orientation, negative orientation, rational style, impulsive style, and avoidance style) in connection to some demographic variables (i.e.…
Descriptors: Foreign Countries, Problem Solving, Adolescents, Social Problems
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Karatas, Erinç; Yalin, Halil Ibrahim – Eurasian Journal of Educational Research, 2021
Purpose: The primary aim of the current study is to identify whether there is a significant difference between students' academic achievements and the matching of students' learning styles to the teaching styles of their instructors. Research Methods: This research was designed as a survey study and employing the quantitative research methodology.…
Descriptors: Cognitive Style, Teaching Styles, Academic Achievement, Instructional Effectiveness
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Johar, Rahmah; Fitriadi; Zubainur, Cut Morina; Ikhsan, M.; Zubaidah, Tuti – Mathematics Teaching Research Journal, 2021
Pedagogical Content Knowledge (PCK) as combines a teacher's knowledge of teaching and content so that the specific content is easy for students to understand. This study aimed to investigate the teacher's PCK in teaching decimals after mentoring by the research center of the Indonesian Realistic Mathematics Education (PRP-PMRI) team. This…
Descriptors: Pedagogical Content Knowledge, Arithmetic, Mathematics Education, Teaching Methods
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Shin, Jongho; Kim, Jeongah; Kim, Myung-Seop; Son, Yura – Educational Psychology, 2021
The purpose of this study was to examine the effects of cognitive appraisal styles (i.e., threat vs. challenge) and feedback types on feedback acceptance and motivation for challenge. We used four feedback types based on valence (positive vs. negative) and orientation (person vs. task). Sixth-graders completed the cognitive appraisal style…
Descriptors: Cognitive Style, Feedback (Response), Motivation, Grade 6
Hallsén, Stina – ECNU Review of Education, 2021
Purpose: This article focuses on the development of supplementary education, evolving under the label "homework support," in Sweden between 2006 and 2018. Particular attention is paid to the significance of the private market for national policy. Design/Approach/Methods: Through a theoretical model on policy enactment, the interaction…
Descriptors: Supplementary Education, Foreign Countries, Cognitive Style, Educational Policy
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