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Showing 1 to 15 of 28 results Save | Export
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Valentina Gliozzi – Cognitive Science, 2024
We propose a simple computational model that describes potential mechanisms underlying the organization and development of the lexical-semantic system in 18-month-old infants. We focus on two independent aspects: (i) on potential mechanisms underlying the development of taxonomic and associative priming, and (ii) on potential mechanisms underlying…
Descriptors: Infants, Computation, Models, Cognitive Development
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Schreiner, Claudia; Wiesner, Christian – European Educational Researcher, 2023
In the context of a rapid digital transformation, digital competence is now regarded as a fourth cultural skill complementing reading, writing, and arithmetic. We argue that a well-structured and sound competence model is needed as a shared foundation for learning, teaching, pedagogical diagnostics and evaluative schemes in the school system.…
Descriptors: Computation, Thinking Skills, Digital Literacy, Competence
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Moonhyun Han; Janghee Uhm – International Journal of Science and Mathematics Education, 2024
This qualitative case study investigated how computational models can help students engage in scientific practice and influence their emotional, epistemic, and conceptual aspects. Twenty-four sixth-graders were guided to conduct scientific practices as they predicted and modified the computational models on food web using StarLogo Nova. Three…
Descriptors: Grade 6, Thinking Skills, Computation, Models
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Camille Lund – Mathematics Teacher: Learning and Teaching PK-12, 2024
Every educator knows the sinking feeling of a lesson gone wrong. As teachers look around the room and realize that many of their students are just not getting it, they often feel like failures. However, the struggle students experience as they persevere through high-quality challenging tasks is not a sign of failure, but rather a key aspect of…
Descriptors: Mathematics Instruction, Difficulty Level, Mathematics Skills, Teaching Methods
Copping, Kate – Mathematics Education Research Group of Australasia, 2021
The development of mathematical reasoning is a key proficiency for mathematics within the Australian Curriculum. However, reasoning can be difficult for teachers to assess, particularly with pen and paper tests. In this study, interview tasks were designed across three curriculum areas at three different levels to assess student reasoning through…
Descriptors: Foreign Countries, Mathematics Instruction, Mathematical Logic, Elementary School Students
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Dauer, Joseph T.; Bergan-Roller, Heather E.; King, Gretchen P.; Kjose, McKenzie; Galt, Nicholas J.; Helikar, Tomáš – International Journal of STEM Education, 2019
Background: Computational modeling is an increasingly common practice for disciplinary experts and therefore necessitates integration into science curricula. Computational models afford an opportunity for students to investigate the dynamics of biological systems, but there is significant gap in our knowledge of how these activities impact student…
Descriptors: Computation, Schemata (Cognition), Genetics, Introductory Courses
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Nguyen-Dang Minh Phuc; Huynh Tan Thanh Tam – International Journal for Technology in Mathematics Education, 2024
Mathematics education often grapples with the challenge of teaching abstract mathematical concepts, particularly those existing in 3D space. Visualizing, manipulating, and comprehending these abstract objects can be a formidable task for learners. While 3D printing technology has found applications in various fields, its utilization in mathematics…
Descriptors: High Schools, Technology Uses in Education, Computation, Measurement
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Lake, Brenden M.; Lawrence, Neil D.; Tenenbaum, Joshua B. – Cognitive Science, 2018
Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right structural form--where form could be a tree, ring, chain, grid, etc. (Kemp & Tenenbaum, 2008). Although this approach…
Descriptors: Discovery Learning, Intuition, Bias, Computation
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Apple, Lillian; Baunach, John; Connelly, Glenda; Gahlhoff, Sonia; Romanowicz, Colleen Megowan; Vieyra, Rebecca Elizabeth; Walker, Lucas – Physics Teacher, 2021
Multiple initiatives contend that all students should master computational thinking, including the "Next Generation Science Standards, the K-12 Framework for Computational Thinking," and Code.org. In turn, many physics teachers have begun to explore a variety of approaches to integrating computational modeling through programming. These…
Descriptors: Science Instruction, High Schools, Secondary School Science, Physics
Madeline Tate Hinckle – ProQuest LLC, 2023
As science becomes increasingly computationally intensive, the need for computational thinking (CT) and computer science (CS) practices in K-12 science education is becoming paramount. Incorporation of CT/CS practices in K-12 education can be seen in national standards and a variety of allied initiatives. One way to build capacity around an…
Descriptors: Middle School Students, Science Instruction, Computation, Thinking Skills
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Ortega-Alvarez, Juan D.; Sanchez, William; Magana, Alejandra J. – IEEE Transactions on Education, 2018
Contribution: This paper adds to existing literature on teaching basic concepts of electricity using computer-based instruction; findings suggest that students can develop an accurate understanding of electric circuits when they generate multiple and complementary representations that build toward computational models. Background: Several studies…
Descriptors: Undergraduate Students, Computation, Concept Formation, Equipment
Basu, Satabdi; Biswas, Gautam; Sengupta, Pratim; Dickes, Amanda; Kinnebrew, John S.; Clark, Douglas – Research and Practice in Technology Enhanced Learning, 2016
Computational thinking (CT) parallels the core practices of science, technology, engineering, and mathematics (STEM) education and is believed to effectively support students' learning of science and math concepts. However, despite the synergies between CT and STEM education, integrating the two to support synergistic learning remains an important…
Descriptors: Science Instruction, STEM Education, Concept Formation, Middle School Students
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Prilliman, Stephen G. – Journal of Chemical Education, 2014
The College Board's recently revised curriculum for advanced placement (AP) chemistry places a strong emphasis on conceptual understanding, including representations of particle phenomena. This change in emphasis is informed by years of research showing that students could perform algorithmic calculations but not explain those calculations…
Descriptors: Science Instruction, Secondary School Science, High Schools, College Science
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Assiti, Saliza Safta; Zulkardi; Darmawijoyo – Indonesian Mathematical Society Journal on Mathematics Education, 2013
The intention of the present study is to know how the pupils can learn to make a group of ten to understand the idea of unitizing. The pupils were given a contextual problem "Counting the Beads" in order to promote their understanding about the idea of unitizing. The process of designing the problem was based on the 5 tenets of…
Descriptors: Computation, Mathematical Concepts, Concept Formation, Teaching Methods
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Sherin, Bruce – Journal of the Learning Sciences, 2013
A large body of research in the learning sciences has focused on students' commonsense science knowledge--the everyday knowledge of the natural world that is gained outside of formal instruction. Although researchers studying commonsense science have employed a variety of methods, 1-on-1 clinical interviews have played a unique role. The data…
Descriptors: Informal Education, Computational Linguistics, Transcripts (Written Records), Interviews
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