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Showing 1 to 15 of 41 results Save | Export
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Yuksel, Tugba; Bryan, Lynn A. – Science Insights Education Frontiers, 2023
This research investigates the Models of eighth-grade students in Turkey pertaining to magnets and magnetic interactions, while also examining the consistency of these models within themselves. Additionally, a comparative assessment is conducted by comparing the current data with data collected from eighth-grade students a decade earlier. The…
Descriptors: Foreign Countries, Models, Grade 8, Secondary School Students
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Anam Aslam; Sagheer Ahamd; Hans-Stefan Siller; Abida Nasreen – Asia-Pacific Science Education, 2024
Science education is crucial for fostering knowledge across academic disciplines. Past efforts to enhance science achievement at the elementary level have explored various instructional strategies. Among these, the Understanding by Design (UbD) model has shown notable potential in improving science achievement outcomes compared to traditional…
Descriptors: Science Achievement, Science Instruction, Grade 5, Elementary School Students
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Lemonidis, Charalampos; Likidis, Nikos – International Journal of Mathematical Education in Science and Technology, 2021
In this study, we propose an integrated hierarchical model of computational estimation strategies (IHMCES), which can be used to organize a set of computational estimation strategies, used by a group of individuals, in strategy ranges. IHMCES can be used for the description of the repertoire, profile and flexibility of individuals regarding the…
Descriptors: Mathematics Instruction, Teaching Methods, Grade 5, Elementary School Students
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Topal, Selda; Korkmaz, S. Deniz – Elementary School Forum (Mimbar Sekolah Dasar), 2023
Students should be provided with more meaningful learning experiences to attract more students to STEM careers, Out-of-School learning environments can offer students exciting and motivating learning opportunities that formal environments cannot provide. Therefore, national education reforms in many countries that are working on popularizing STEM…
Descriptors: Grade 6, STEM Education, Informal Education, Career Choice
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Santini, Jérôme; Bloor, Tracy; Sensevy, Gérard – Science & Education, 2018
Our research addresses the issue of teaching and learning concepts in science education as an empirical question. We study the process of conceptualization by closely examining the unfolding of classroom lesson sequences. We situate our work within the practice turn line of research on epistemic practices in science education. We also adopt a…
Descriptors: Grade 5, Teacher Effectiveness, Comparative Analysis, Seismology
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Wolff, Fabian; Wigfield, Allan; Möller, Jens; Dicke, Anna-Lena; Eccles, Jacquelynne Sue – Journal of Educational Psychology, 2020
The present research examined the joint effects of social, dimensional, and temporal comparisons on students' academic self-concepts and parents' beliefs about their children's competencies during students' transition phase from elementary school to junior high school. To this end, we tested the newly developed 2I/E model using longitudinal data…
Descriptors: Elementary School Students, Junior High School Students, Academic Ability, Self Concept
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Kavanagh, Lauren – European Journal of Psychology of Education, 2020
Given the significant role that academic self-concept plays in students' learning, understanding the psychological processes involved in its formation continues to be an important focus of enquiry. There is strong empirical support for two major models of academic self-concept (ASC) formation: the big-fish-little-pond (BFLP) model and the…
Descriptors: Academic Ability, Self Concept, Academic Achievement, Psychological Patterns
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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
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Wu, Chao-Jung; Liu, Chia-Yu; Yang, Chung-Hsuan; Jian, Yu-Cin – European Journal of Psychology of Education, 2021
Despite decades of research on the close link between eye movements and human cognitive processes, the exact nature of the link between eye movements and deliberative thinking in problem-solving remains unknown. Thus, this study explored the critical eye-movement indicators of deliberative thinking and investigated whether visual behaviors could…
Descriptors: Eye Movements, Reading Comprehension, Screening Tests, Scores
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Sisk-Hilton, Stephanie; Ferner, Sarah Davies – Science and Children, 2022
The inclusion of engineering in the Next Generation Science Standards (NGSS) as a key component of K-12 science learning has provided both opportunities and challenges for elementary teachers. One challenge is integrating the design thinking processes that undergird engineering with core science concepts and current issues facing scientists and…
Descriptors: Engineering Education, Science Education, National Standards, Elementary School Teachers
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Duncanson, Edward; Curry, Michael – Educational Planning, 2020
The changing nature of education has forced educators to rethink the role of classrooms in student learning. Prior research has shown that the environmental and structural design of education centers impact student learning. With a dozen variables to deal with, classroom designers are faced with the daunting task of selecting one plan from the…
Descriptors: Classroom Design, Learning Processes, Models, Grade 3
Burnett, Alyson; McCullough, Moira; Williams, Breyon – Mathematica, 2021
The purpose of this study was to assess the effectiveness of Uncommon Schools in a turnaround setting. Uncommon was awarded a 2016 grant from the U.S. Department of Education's Investing in Innovation Fund (i3) to support TurnNJ, a project intended to support Uncommon's whole-school turnaround efforts in Camden and Newark, New Jersey. The study…
Descriptors: School Turnaround, Grants, Federal Aid, Models
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Ing, Marsha – Applied Measurement in Education, 2016
Drawing inferences about the extent to which student performance reflects instructional opportunities relies on the premise that the measure of student performance is reflective of instructional opportunities. An instructional sensitivity framework suggests that some assessments are more sensitive to detecting differences in instructional…
Descriptors: Mathematics Tests, Mathematics Achievement, Performance, Educational Opportunities
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Sarac, Hakan; Tarhan, Devrim – European Journal of Educational Research, 2017
In the rapidly developing age of technology, the contribution of using multimedia-supported instructional materials in the field of teaching technologies to science education has been increasing steadily. The purpose of this research is to compare the multimedia learning instructional materials prepared according to the 7E learning model and the…
Descriptors: Academic Achievement, Statistical Analysis, Instructional Materials, Experimental Groups
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Cheng, Meng-Fei; Brown, David E. – Journal of Research in Science Teaching, 2015
Student construction of models is a strong focus of current research and practice in science education. In order to study in detail the interactions between students' model generation and evaluation and their development of explanatory ideas to account for magnetic phenomena, a multi-session teaching experiment was conducted with a small number of…
Descriptors: Models, Science Instruction, Magnets, Scientific Concepts
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