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Showing 1 to 15 of 19 results Save | Export
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Hanneke Theelen; Joyce Vreuls; Jim Rutten – International Journal of Technology in Education, 2024
The rapid development of artificial intelligence and large language models (LLMs) has led to significant advancements in applying machine learning techniques across diverse disciplines, including educational science research. This study investigates the potential of LLMs like ChatGPT for qualitative data analysis, focusing on open, axial,…
Descriptors: Artificial Intelligence, Science Education, Educational Research, Coding
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Cheung, Kason Ka Ching; Tai, Kevin W. H. – Research in Science & Technological Education, 2023
Background: Intercoder reliability is a statistic commonly reported by researchers to demonstrate the rigour of coding procedures during data analysis. Its importance is debatable in the analysis of qualitative interview data. It raises a question on whether researchers should identify the same codes and themes in a transcript or they should…
Descriptors: Interrater Reliability, Data Analysis, Interviews, Research Methodology
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Seckin-Kapucu, Munise – Journal of Education in Science, Environment and Health, 2023
This study aims to examine the methodological trends and findings in studies on robotic coding in science education published between 2015-2022 comprehensively and holistically. For this purpose, the articles related to the subject were systematically reviewed. In addition, web of Science and SCOPUS databases were scanned for keywords related to…
Descriptors: Robotics, Coding, Programming, Research Methodology
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Matthew Mears; Louise Dash; Ross Galloway; Calvin Karpenko; Nicolas Labrosse; Victoria Mason; Mark Quinn – Journal of Science Education and Technology, 2025
Digital proficiency, including coding, is increasingly essential in physics education. However, disparities in coding skills among students are influenced by demographic factors and prior educational exposure. This study examines barriers to pre-university coding exposure for first-year physics students across five UK institutions, proposing a…
Descriptors: Foreign Countries, Coding, Physics, Science Education
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Gough, Phillip; Bown, Oliver; Campbell, Craig R.; Poronnik, Philip; Ross, Pauline M. – Biochemistry and Molecular Biology Education, 2023
Biomedical science students need to learn to code. Graduates face a future where they will be better prepared for research higher degrees and the workforce if they can code. Embedding coding in a biomedical curriculum comes with challenges. First, biomedical science students often experience anxiety learning quantitative and computational thinking…
Descriptors: Biomedicine, Coding, Skill Development, Student Attitudes
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Yifan Li; Anmin Liu; Runming Si; Leyan Liu; Qidong Zhao – Journal of Chemical Education, 2024
The plate and frame filtration experiment is one of the essential experiments performed by undergraduate students during their practical education. While this experiment often relies on the conventional manual recording of data and calculation, there are frequent problems with data collection because capturing transient data of filtrate volume and…
Descriptors: Internet, Automation, Undergraduate Study, College Science
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Mellita Jones; Vince Geiger; Garry Falloon; Sharon Fraser; Kim Beswick; Benjamin Holland-Twining; Vesife Hatisaru – International Journal of Science Education, 2025
STEM education is viewed as being vital for economic prosperity and productivity; and can contribute productively to changing technological, economic, and social demands of the twenty-first Century. However, there is limited consensus on how STEM education is understood and taught, and inadequate discussion around its role in addressing global…
Descriptors: STEM Education, Social Problems, Administrator Attitudes, Principals
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Hughes, Roxanne; Schellinger, Jennifer; Roberts, Kari – Journal of Research in Science Teaching, 2021
Computing fields are foundational to most STEM disciplines and the only STEM discipline to show a consistent decline in women's representation since 1990, making it an important field for STEM educators to study. The explanation for the underrepresentation of women and girls in computing is twofold: a sense that they do not fit within the…
Descriptors: STEM Education, Females, Self Concept, Coding
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Tanik Onal, Nagihan; Saylan Kirmizigul, Asli – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
Learning STEM applications in the first years of education reinforce children's curiosity toward exploring the world around them, and form the basis for all scientific studies they will receive throughout their lives. The aim of this study is to implement the STEM activity on the subject of seasons to preschool students. In the spring semester of…
Descriptors: STEM Education, Preschool Children, Learning Activities, Preschool Education
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Paoletti, Teo; Lee, Hwa Young; Rahman, Zareen; Vishnubhotla, Madhavi; Basu, Debasmita – International Journal of Mathematical Education in Science and Technology, 2022
In this study, we examined graphical representations in several mathematics, science, and engineering textbooks and practitioner journals with the goal of identifying similarities and differences across these sources. To do this, we drew from the extant research on students interpreting graphs and reasoning covariationally to develop a framework…
Descriptors: Mathematics Education, Science Education, Engineering Education, Textbooks
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Rim Gouia-Zarrad; Cindy Gunn – International Electronic Journal of Mathematics Education, 2024
This research paper explores the integration of ChatGPT as a tool for interactive learning of numerical methods in a differential equations (DEs) course. DE course is crucial for engineering students to model real-world phenomena. However, many DE courses focus only on analytical solutions and neglect important numerical solutions. To overcome…
Descriptors: Learning Experience, Teaching Methods, Artificial Intelligence, Computer Software
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Gianmarc Grazioli; Adam Ingwerson; David Santiago Jr.; Patrick Regan; Heekun Cho – Journal of Chemical Education, 2023
Computational chemistry instructional activities are often based around students running chemical simulations via a graphical user interface (GUI). GUI-based activities offer many advantages, as they enable students to run chemical simulations with a few mouse clicks. Although these activities are excellent for introducing students to the…
Descriptors: Computation, Chemistry, Teaching Methods, Science Education
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Lee, Yew-Jin; Wan, Dongsheng – Research in Science Education, 2022
There has been a longstanding interest in the kinds of scientific knowledge that primary science learners must know and be able to do, which comprise the intellectual demands in this subject. These prescriptions chiefly take guidance from national curriculum documents, especially in the form of their learning outcomes (LO) or learning standards.…
Descriptors: Semantics, Science Education, Outcomes of Education, Elementary School Students
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Basarmak, Ugur; Uluay, Gülsah; Polat, Dilber – Malaysian Online Journal of Educational Technology, 2021
When the needs of present and future life are examined, 21st-century skills are gaining importance day by day. There are various teaching methods, techniques and aids that support the development of individual skills and characteristics. Coding has also taken its place among these methods and techniques and continues to gain popularity with…
Descriptors: Coding, Preservice Teachers, Student Attitudes, Teaching Methods
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Christidou, Dimitra; Papavlasopoulou, Sofia; Giannakos, Michail – Information and Learning Sciences, 2021
Purpose: Governments and organizations worldwide are concerned over the declining number of young people choosing to study Science, Technology, Engineering and Mathematics (STEM), especially after the age of 16. Research has foregrounded that students with positive attitudes toward science are more likely to find it relevant and aspire to a…
Descriptors: Childrens Attitudes, Scientific Attitudes, Science Education, Informal Education
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