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Leonie I. Johann; Fredrik K. H. Rusk; Michael J. Reiss; Jorge Groß – Journal of Biological Education, 2024
This study reports on the theoretical- and empirical-based design and evaluation of cell membrane biology learning activities within the Model of Educational Reconstruction and experiential realism. First, we designed analogy-based learning activities by considering students' and scientists' conceptions as described in the literature. Secondly, we…
Descriptors: Secondary School Students, Thinking Skills, Cytology, Molecular Biology
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Panchami Patel; Prachi Thareja – Journal of Chemical Education, 2024
This article describes two sets of experiments designed to enhance the understanding of colloidal systems. These experiments were designed as a part of the theme "Colloids: Where Science Meets Engineering" taught in the Department of Chemical Engineering and additionally offered to physics, chemistry, and materials science departments as…
Descriptors: Hands on Science, Science Education, Engineering Education, Science Experiments
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Yu-Cin Jian; Leo Yuk Ting Cheung; Yi-Jye Wu; Fang-Ying Yang; Guo-Li Chiou – Instructional Science: An International Journal of the Learning Sciences, 2024
Computer-simulated experiments have been gaining popularity over hands-on experiments in science education, given the availability of technology and the trend of distance learning. Past studies have focused primarily on comparing the learning outcomes and user experiences of the two experiment modes. In this study, we used an eye tracker to…
Descriptors: Eye Movements, Experiential Learning, Computer Simulation, Science Experiments
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Zipeng Qi; Lei Xu; Yun Chen; Shuanglian Cai – Journal of Chemical Education, 2024
This study revamps and optimizes the teaching and learning process and instrument for the classic binary vapor-liquid equilibrium experiment by combining activity coefficient model simulations and practical exercises. Our teaching process combines a software simulation and practical exercises. Utilizing Aspen software, students can predict phase…
Descriptors: Learning Processes, Instruction, Instructional Improvement, Educational Improvement
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Qing Li; Jieyu Yue; Jianwen Sun; Sijing Chen; Sannyuya Liu; Zhen Li; Xin Yuan; Tianhui Hu – Science & Education, 2025
The purpose of this study was to investigate the frontier, science, and public engagement of educational science research. This paper conducted a systematic literature review of 101 educational science research articles published in "Nature" and "Science" in 1982-2021 based on the Web of Science database and analyzed the…
Descriptors: Science Education, Scientific Research, Periodicals, Journal Articles
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Yan Wang; Peng He; Jinling Geng; Zhiwei Zhu – Journal of Chemical Education, 2025
This paper presents an innovative teaching approach that integrates photoelectric technology with analytical chemistry instruction through inquiry-based learning (IBL), using cerium as a selected analyte. With the advancement of science and technology, a strong foundation of basic knowledge and methodologies is crucial in analytical chemistry…
Descriptors: Instructional Innovation, Chemistry, Science Instruction, Active Learning
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Suritno Fayanto; I Nyoman Sudana Degeng; Syaad Patmanthara; Saida Ulfa – Science Education International, 2024
Design-Based Learning and computational thinking (CT) are two key components that support each other specifically in the learning process involving the development of experimental design. Both components emphasize the importance of integration between computational thinking and design-based learning to support a creative, innovative and data…
Descriptors: Computation, Thinking Skills, Teacher Effectiveness, Courses
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Jichao Xue; Jiaxin Liu; Qingshu Yuan; Zhengwei Yao; Jin Xu; Zhigeng Pan – Education and Information Technologies, 2025
To optimize learning experience and improve learning performance, current virtual experimental systems usually assist students with stepwise guidance before operations and feedback after them. However, stepwise and excessive guidance can lead to student overreliance, while late feedback cannot avoid potential errors during experimental learning.…
Descriptors: College Students, Chemistry, Science Instruction, Science Experiments