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Lee, Chien I.; Chang, Chih C. – EURASIA Journal of Mathematics, Science & Technology Education, 2017
How to enhance students' reading comprehension as well as reading interest is a currently serious problem for elementary school students. Students can learn various knowledge through reading, as a result of this reason, the advantage and disadvantage of reading ability could directly affect the learning efficiency. This study proposes networked…
Descriptors: Cognitive Style, Reading Comprehension, Foreign Countries, Elementary School Students
Yaman, Hakan; Dündar, Sefa; Ayvaz, Ülkü – International Electronic Journal of Elementary Education, 2015
The aim of this study is to reveal whether there is relation between achievement motivations of teacher candidates according to their cognitive styles and motivation styles or not. This study was designed as a quantitative study due to collecting quantitative data and running statistical analyses. Both comparative and correlational survey methods…
Descriptors: Elementary School Teachers, Preservice Teachers, Cognitive Style, Gender Differences
Ursavas, Omer Faruk; Reisoglu, Ilknur – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to explore the validity of extended technology acceptance model (TAM) in explaining pre-service teachers' Edmodo acceptance and the variation of variables related to TAM among pre-service teachers having different cognitive styles. Design/methodology/approach: Structural equation modeling approach was used to…
Descriptors: Cognitive Style, Structural Equation Models, Models, Validity
Papageorgiou, George; Markos, Angelos; Zarkadis, Nikolaos – Chemistry Education Research and Practice, 2016
The current study aims to investigate students' representations of the atomic structure in a number of student cohorts with specific characteristics concerning age, grade, class curriculum and some individual differences, such as formal reasoning and field dependence/independence. Two specific task contexts, which were designed in accordance with…
Descriptors: Science Instruction, Chemistry, Molecular Structure, Nuclear Energy
Sozcu, Omer Faruk – Turkish Online Journal of Distance Education, 2014
This study examines the relationships between cognitive styles of field dependent learners with their attitudes towards e-learning (distance education) and instructional behavior in e-learning instruction. The Group Embedded Figures Test (GEFT) and the attitude survey (for students' preferences) towards e-learning instruction as distance education…
Descriptors: Foreign Countries, Cognitive Style, Electronic Learning, Distance Education
Mousavi, Shima; Radmehr, Farzad; Alamolhodaei, Hasan – Electronic Journal of Research in Educational Psychology, 2012
Introduction: The main objective of this study is (a) to investigate whether cognitive styles and working memory capacity could predict mathematical performance and which variable is relatively most important in predicting mathematical performance and b) to explore whether cognitive styles and working memory capacity could predict mathematical…
Descriptors: Homework, Cognitive Style, Short Term Memory, Role
Oh, Eunjoo; Lim, Doohun – Journal of Interactive Online Learning, 2005
This study examines how students' cognitive styles are correlated with their attitudes toward online education and learning behaviors in online learning environments. The Group Embedded Figures Test (GEFT) and the attitude survey toward online instruction were administered to 104 students enrolled in various online courses at the University of…
Descriptors: Cognitive Style, Online Courses, Student Attitudes, Correlation
Thompson, Bruce; Melancon, Janet G. – 1990
Effect sizes have been increasingly emphasized in research as more researchers have recognized that: (1) all parametric analyses (t-tests, analyses of variance, etc.) are correlational; (2) effect sizes have played an important role in meta-analytic work; and (3) statistical significance testing is limited in its capacity to inform scientific…
Descriptors: Comparative Analysis, Computer Assisted Testing, Correlation, Effect Size

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