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Gonczi, Amanda; Palosaari, Chuck; Mayer, Alex; Urban, Noel – Science Teacher, 2022
Computational modeling and thinking skill sets were previously relegated to computer scientists and programmers. As a result, computational tools are largely unfamiliar to K-12 science teachers and students. Using Mathematical and Computational Thinking and Developing and Using Models were included in the "Next Generation Science…
Descriptors: Learning Activities, High School Students, STEM Education, Computation
Executive Office of the President, 2023
The Federal STEM Education Strategic plan recognizes the importance of building computational literacy today. This document is aligned to the Computational Literacy Interagency Working Group (IWGCL) objectives to: (1) develop a common operational definition; (2) identify existing research on computational literacy; and (3) identify existing…
Descriptors: Strategic Planning, STEM Education, Federal Programs, Educational Change
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Odden, Tor Ole B.; Silvia, Devin W.; Malthe-Sørenssen, Anders – Journal of Research in Science Teaching, 2023
This article reports on a study investigating how computational essays can be used to help students in higher education STEM take up disciplinary epistemic agency--cognitive control and responsibility over one's own learning within the scientific disciplines. Computational essays are a genre of scientific writing that combine live, executable…
Descriptors: Computation, Essays, Undergraduate Students, STEM Education
Safia A. O. E. A. Malallah – ProQuest LLC, 2022
There are many concerns from early childhood educators regarding allowing children to use technology, pointing to the adverse effects of screen time and barriers such as lack of resources. To support advocating CT in early childhood settings using technology, this dissertation proposes solutions and resources for early childhood educators by…
Descriptors: Foreign Countries, Early Childhood Education, Computation, Thinking Skills
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Palts, Tauno; Pedaste, Margus – Informatics in Education, 2020
Computer science concepts have an important part in other subjects and thinking computationally is being recognized as an important skill for everyone, which leads to the increasing interest in developing computational thinking (CT) as early as at the comprehensive school level. Therefore, research is needed to have a common understanding of CT…
Descriptors: Models, Skill Development, Computation, Thinking Skills
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Günbatar, Mustafa Serkan; Bakirci, Hasan – Education and Information Technologies, 2019
The aim of the study is to examine the Science, Technology, Engineering and Mathematics (STEM) teaching intention of science and primary school pre-service teachers in terms of Computational Thinking (CT) skill, gender, grade level, daily computer usage, internet usage, smartphone usage, and the department variables. The study employs the…
Descriptors: STEM Education, Intention, Computation, Thinking Skills
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Hutchins, Nicole M.; Biswas, Gautam; Zhang, Ningyu; Snyder, Caitlin; Lédeczi, Ákos; Maróti, Miklós – International Journal of Artificial Intelligence in Education, 2020
Driven by our technologically advanced workplaces and the surge in demand for proficiency in the computing disciplines, it is becoming imperative to provide computational thinking (CT) opportunities to all students. One approach for making computing accessible and relevant to learning and problem-solving in K-12 environments is to integrate it…
Descriptors: Computer Assisted Instruction, Problem Solving, Computation, Thinking Skills
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
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Thomas, Debra Kelly; Milenkovic, Lisa; Marousky, Annamargareth – Science and Children, 2019
Computer science (CS) and computational thinking (a problem-solving process used by computer scientists) teach students design, logical reasoning, and problem solving--skills that are valuable in life and in any career. Computational thinking (CT) concepts such as decomposition teach students how to break down and tackle a large complex problem.…
Descriptors: Computation, Thinking Skills, Computer Simulation, Computer Science Education
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
Office of Educational Technology, US Department of Education, 2019
To help teachers implement new, research-based approaches for leveraging technology to improve science, technology, engineering and mathematics (STEM) learning, a systematic review of the research literature on the impact of integrating innovative digital technology in STEM and computer science curricula and classrooms was conducted. For purposes…
Descriptors: STEM Education, Educational Technology, Technology Uses in Education, Teaching Methods
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Broatch, Jennifer; Lohr, Sharon – Journal of Educational and Behavioral Statistics, 2012
Measuring teacher effectiveness is challenging since no direct estimate exists; teacher effectiveness can be measured only indirectly through student responses. Traditional value-added assessment (VAA) models generally attempt to estimate the value that an individual teacher adds to students' knowledge as measured by scores on successive…
Descriptors: Teacher Effectiveness, Models, Maximum Likelihood Statistics, Computation
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Sneider, Cary; Stephenson, Chris; Schafer, Bruce; Flick, Larry – Science Teacher, 2014
A "Framework for K-12 Science Education" identified eight practices as "essential elements of the K-12 science and engineering curriculum" (NRC 2012, p. 49). Most of the practices, such as Developing and Using Models, Planning and Carrying Out Investigations, and Analyzing and Interpreting Data, are well known among science…
Descriptors: High School Students, Secondary School Science, Thinking Skills, Computation
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Lachapelle, Cathy P.; Sargianis, Kristin; Cunningham, Christine M. – Science and Children, 2013
Engineering is prominently included in the "Next Generation Science Standards" (Achieve Inc. 2013), as it was in "A Framework for K-12 Science Education" (NRC 2012). The National Research Council, authors of the "Framework," write, "Engineering and technology are featured alongside the natural sciences (physical…
Descriptors: Science Instruction, Engineering Education, STEM Education, Elementary School Curriculum
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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