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Sahin, Feride; Ates, Salih – Electronic Journal for Research in Science & Mathematics Education, 2023
The aim of this study is to examine whether the structural model that Sahin and Ates (2020) put forward about the relationship among students' scientific literacy levels, logical thinking ability, cognitive styles, mental capacity, and mental rotation ability differ in terms of gender. A causal-comparative model approach was used in this study.…
Descriptors: Scientific Literacy, Correlation, Individual Differences, Gender Differences
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Yavich, Roman; Rotnitsky, Irina – International Journal of Higher Education, 2020
The applications of multiple intelligence theory in education are wide. Students apply the learning in the classroom according to their own dominant intelligence and learning style, which is most effective for them. Combining learning styles with dominant intelligences enhances the students' learning processes. The purpose of this case study is to…
Descriptors: Multiple Intelligences, Academic Achievement, Cognitive Style, Correlation
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Aydin Ceran, Sema; Ates, Salih – Journal of Education in Science, Environment and Health, 2020
Considering that each student has a different cognitive structure, in addition to providing students with the perspective of a scientist, evaluating this acquisition; it is an important dimension of science education in the context of measurement and evaluation. In this context, the scientific process skills (SPS) of the students with different…
Descriptors: Science Process Skills, Test Format, Cognitive Style, Measures (Individuals)
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Newton, Kristie J.; Lange, Karin; Booth, Julie L. – Journal of Experimental Education, 2020
Psychologists and mathematics educators have long viewed flexibility as critical to students' mathematical development. In this paper, we focused on the multidimensional nature of flexibility to better understand how preference, knowledge, and use of effective methods for solving algebra problems are related. In Study 1, we identified…
Descriptors: Prior Learning, Mathematics Education, Algebra, Mathematics Instruction
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Rowe, Elizabeth; Asbell-Clarke, Jodi; Almeda, Mia; Gasca, Santiago; Edwards, Teon; Bardar, Erin; Shute, Valerie; Ventura, Matthew – International Journal of Computer Science Education in Schools, 2021
The Inclusive Assessment of Computational Thinking (CT) designed for accessibility and learner variability was studied in over 50 classes in US schools (grades 3-8). The validation studies of IACT sampled thousands of students to establish IACT's construct and concurrent validity as well as test-retest reliability. IACT items for each CT practice…
Descriptors: Puzzles, Logical Thinking, Thinking Skills, Construct Validity
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Bempeni, Maria; Vamvakoussi, Xenia – Frontline Learning Research, 2015
We present the results of an in-depth qualitative study that examined ninth graders' conceptual and procedural knowledge of fractions as well as their approach to mathematics learning, in particular fraction learning. We traced individual differences, even extreme, in the way that students combine the two kinds of knowledge. We also provide…
Descriptors: Individual Differences, Fractions, Qualitative Research, Statistical Analysis
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Papageorgiou, George; Markos, Angelos; Zarkadis, Nikolaos – Science Education International, 2016
This work investigates the formation of particular student profiles based on of their ideas relating to basic characteristics of the atom. Participants were secondary students of 8th, 10th and 12th grades from Northern Greece (n = 421), with specific cohort characteristics e.g. age, grade and class curriculum, and individual differences, e.g.…
Descriptors: Foreign Countries, Secondary School Students, Grade 8, Grade 10
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Chen, Cheng-ping; Wang, Chang-Hwa – Journal of Science Education and Technology, 2015
Studies have proven that merging hands-on and online learning can result in an enhanced experience in learning science. In contrast to traditional online learning, multiple in-classroom activities may be involved in an augmented-reality (AR)-embedded e-learning process and thus could reduce the effects of individual differences. Using a…
Descriptors: Science Instruction, Earth Science, Technology Uses in Education, Educational Technology
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Ardasheva, Yuliya; Tretter, Thomas R. – TESOL Journal, 2012
This survey study explored perceptions and use of language learning strategies among English as a second language teachers and English-learning students (Grades 3-8, 10, and 11). The sample comprised 1,057 students (651 elementary, 275 middle, and 131 high school) and 54 teachers (31 elementary, 11 middle, and 12 high school) from 38 schools…
Descriptors: English Language Learners, English Teachers, Learning Strategies, Student Attitudes
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Rosenzweig, Carly; Krawec, Jennifer; Montague, Marjorie – Journal of Learning Disabilities, 2011
The purpose of the study was to investigate the metacognitive abilities of students with LD as they engage in math problem solving and to determine processing differences between these students and their low- and average-achieving peers (n = 73). Students thought out loud as they solved three math problems of increasing difficulty. Protocols were…
Descriptors: Protocol Analysis, Learning Disabilities, Problem Solving, Ability Grouping
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Araz, Gulsum; Sungur, Semra – Learning and Individual Differences, 2007
Problem-based learning (PBL) is a student centered approach whereby students deal with ill-structured problems while working in small groups. In this study, a path model was utilized to model the relationships among reasoning ability, learning approach, prior knowledge, motivational variables, and achievement in genetics in PBL classes. 126 eighth…
Descriptors: Academic Achievement, Problem Based Learning, Prior Learning, Genetics