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Deborah Hanuscin; Emily Borda; Josie Melton; Jamie N. Mikeska – International Journal of Science and Mathematics Education, 2025
Research on teacher educators' professional learning has gained increasing interest within science education. Curriculum materials have been suggested as a means of supporting "teacher" learning for several decades but have not yet been examined as a potential tool for supporting the learning of "teacher educators." In this…
Descriptors: Curriculum Design, Instructional Materials, Teacher Educators, Preservice Teachers
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Ashli M. Wright; Marie Janelle Tacloban; Shelby Lake; Melissa McCartney – Discover Education, 2024
Scientific practices describe behaviors scientists engage in while investigating the natural world. Educators should be aware of different science practice frameworks to better understand their students' progression for learning science practices across the K-20 spectrum. For example, a high school AP instructor would benefit from understanding…
Descriptors: Science Teachers, Elementary School Students, Secondary School Students, College Students
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Swenson, Sandra; He, Yi; Boyd, Heather; Good, Kate Schowe – Journal of College Science Teaching, 2022
Students reasoning with data in an authentic science environment had the opportunity to learn about the process of science and the world around them while developing skills to analyze and interpret self-collected and secondhand data. Our results show that nearly 50% of the treatment group responses were accurate when describing the reason for…
Descriptors: Design, Heuristics, Data Analysis, Data Interpretation
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Krist, Christina; Schwarz, Christina V.; Reiser, Brian J. – Journal of the Learning Sciences, 2019
Mechanistic reasoning, or reasoning systematically through underlying factors and relationships that give rise to phenomena, is a powerful thinking strategy that allows one to explain and make predictions about phenomena. This article synthesizes and builds on existing frameworks to identify essential characteristics of students' mechanistic…
Descriptors: Logical Thinking, Heuristics, Epistemology, Middle School Students
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Chen, Ying-Chih – Reading Teacher, 2019
One of the major goals of science education is preparing students to be scientifically literate. Argumentation is a core practice to promote both scientific literacy and science learning. However, incorporating argumentation into science teaching can be challenging for both teachers and students. The author introduces the Science Talk--Writing…
Descriptors: Heuristics, Scientific Literacy, Science Education, Persuasive Discourse
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Moskovitz, Cary – Journal of College Science Teaching, 2023
Visual elements such as graphs, tables, and diagrams are essential components of scientific writing. Although scientific writing textbooks and guides often contain information on how to design such visuals, little has been written on how to effectively discuss those visuals within the text. This article offers a novel heuristic for teaching…
Descriptors: Science Education, Textbooks, Textbook Preparation, Technical Writing
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Roseman, Jo Ellen; Herrmann-Abell, Cari F.; Koppal, Mary – Journal of Science Teacher Education, 2017
Focusing on the science knowledge and pedagogical content knowledge that teachers need to realize the vision of the Next Generation Science Standards (NGSS) in their classrooms, this article presents findings from efforts to (a) adapt existing criteria and design heuristics for educative features of curriculum materials and apply them in the…
Descriptors: Science Education, Science Curriculum, Curriculum Development, Instructional Design
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Lamb, Richard; Hand, Brian; Kavner, Amanda – Journal of Science Education and Technology, 2021
This study is intended to provide an example of computational modeling (CM) experiment using machine learning algorithms. Specific outcomes modeled in this study are the predicted influences associated with the Science Writing Heuristic (SWH) and associated with the completion of question items for the Cornell Critical Thinking Test. The Student…
Descriptors: Models, Computation, Content Area Writing, Science Education
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Jimenez-Liso, M. Rut; Bellocchi, Alberto; Martinez-Chico, Maria; Lopez-Gay, Rafael – Research in Science Education, 2022
In this study we address the need to promote student engagement with school science and the need to measure a more comprehensive conception of engagement considering three dimensions of engagement: emotional, behavioural, and cognitive. We address the first issue by designing and implementing a model-based inquiry instructional sequence focused on…
Descriptors: Learner Engagement, Science Education, Heuristics, Psychological Patterns
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Powietrzynska, Malgorzata; Gangji, Al-Karim H. – Cultural Studies of Science Education, 2016
In this manuscript we bring to focus student perceptions of salience (or lack of thereof) of emotions in the undergraduate conceptual physics course (in the teacher education program) and their relevance to teaching and learning. Our analysis of student responses to the Mindfulness in Education Heuristic constitutes a feedback loop affording the…
Descriptors: Science Teachers, Teacher Education, Teacher Education Programs, Science Instruction
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Hsu, Mei-En; Cheng, Meng-Tzu – British Journal of Educational Technology, 2021
Games have been regarded as a potential vehicle for enhancing student learning. Previous studies mainly focused on learning outcomes; however, the learning processes and dynamic in-game behaviours of students who are immersed in a game context are relatively undiscovered. The purposes of this study were to develop an educational game, "Bio…
Descriptors: Game Based Learning, Middle School Students, Grade 7, Educational Games
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Sun, Yanyan; Yan, Zhenping; Wu, Bian – Journal of Computer Assisted Learning, 2022
Background: Guidance has showed positive effects on promoting inquiry-based learning in science education. While an increasing number of studies focus on the design of guidance in simulation-based inquiry learning due to recent technology developments, how different designs of a same type of guidance affect learning remains a question. Objectives:…
Descriptors: Guidance, Inquiry, Active Learning, Simulation
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Schuler, Stephan; Fanta, Daniela; Rosenkraenzer, Frank; Riess, Werner – Journal of Geography in Higher Education, 2018
Systems thinking is regarded as a key competence in the field of education for sustainable development (ESD), because it helps students to understand the complexity and dynamics of natural, social and economic systems. In our research group, we developed a competence model that distinguishes four dimensions of systems thinking in ESD. Based on…
Descriptors: Systems Approach, Sustainable Development, Heuristics, Science Education
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Park, Jisun; Song, Jinwoong; Abrahams, Ian – Science & Education, 2016
This study explored, from the perspective of intellectual passion developed by Michael Polanyi, the unintended learning that occurred in primary practical science lessons. We use the term "unintended" learning to distinguish it from "intended" learning that appears in teachers' learning objectives. Data were collected using…
Descriptors: Foreign Countries, Primary Education, Elementary School Science, Science Education
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Delgado, Cesar – Journal of Science Education and Technology, 2015
Science education involves learning about phenomena at three levels: concrete (facts and generalizations), conceptual (concepts and theories), and metaconceptual (epistemology) (Snir et al. in "J Sci Educ Technol" 2(2):373-388, 1993). Models are key components in science, can help build conceptual understanding, and may also build…
Descriptors: Models, Science Education, Scientific Concepts, Simulation
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