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Noly Shofiyah; Nadi Suprapto; Binar Kurnia Prahani; Budi Jatmiko; Desak Made Anggraeni; Khoirun Nisa' – Cogent Education, 2024
This research investigates the abilities of undergraduate students to apply scientific reasoning in Indonesia, with a particular focus on the concept of force and motion. Forty-three first-year undergraduate students from an Indonesian private institution, comprising 20 males and 23 females, performed the Scientific Reasoning Test of Motion (SRTM)…
Descriptors: Motion, Physics, Scientific Concepts, Thinking Skills
Ryan Tapping – ProQuest LLC, 2021
In this dissertation I will present my work in both the fields of spintronics and physics education research. In the first section, I present a method to account for spin pumping in spin torque ferromagnetic resonance (ST-FMR) measurements. A spin current can be generated via the spin Hall effect (SHE), which is typically transverse to the charge…
Descriptors: Magnets, Electronics, Physics, Scientific Concepts
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Wells, James; Henderson, Rachel; Traxler, Adrienne; Miller, Paul; Stewart, John – Physical Review Physics Education Research, 2020
Investigating student learning and understanding of conceptual physics is a primary research area within physics education research. Multiple quantitative methods have been employed to analyze commonly used mechanics conceptual inventories: the Force Concept Inventory (FCI) and the Force and Motion Conceptual Evaluation (FMCE). Recently,…
Descriptors: Physics, Science Education, Educational Research, Scientific Concepts
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Low, David; Malik, Umairia; Wilson, Kate – Teaching Science, 2018
Large gender gaps in performance on questions involving projectile motion have been observed at high school and university level, even amongst high-achieving students. This gap is particularly problematic because projectile motion is typically one of the first topics formally taught in physics, and this may give girls an inappropriately negative…
Descriptors: Gender Differences, Science Instruction, Motion, Scientific Concepts
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Leman, Patrick J.; Skipper, Yvonne; Watling, Dawn; Rutland, Adam – Child Development, 2016
Three hundred and forty-one children (M[subscript age] = 9,0 years) engaged in a series of science tasks in collaborative, same-sex pairs or did not interact. All children who collaborated on the science tasks advanced in basic-level understanding of the relevant task (motion down an incline). However, only boys advanced in their conceptual…
Descriptors: Child Development, Gender Differences, Science Activities, Task Analysis
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Pulverman, Rachel; Song, Lulu; Hirsh-Pasek, Kathy; Pruden, Shannon M.; Golinkoff, Roberta M. – Child Development, 2013
In the world, the manners and paths of motion events take place together, but in language, these features are expressed separately. How do infants learn to process motion events in linguistically appropriate ways? Forty-six English-learning 7- to 9-month-olds were habituated to a motion event in which a character performed both a manner and a…
Descriptors: English, Language Acquisition, Infants, Cognitive Processes
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Chen, Ying-Chih; Hand, Brian; McDowell, Leah – Science Education, 2013
This quasi-experimental and pre/posttest study was designed to examine whether fourth-grade students who engaged in collaboratively writing letters to 11th-grade students performed better on tests of conceptual understanding of a unit on force and motion than students who did not. The participants included 835 fourth-grade students and 416…
Descriptors: Quasiexperimental Design, Pretests Posttests, Grade 4, Grade 11
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis