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Hamid Sanei; Jennifer B. Kahn; Rabia Yalcinkaya; Shiyan Jiang; Changzhao Wang – Journal of Science Education and Technology, 2024
Data and computational literacies empower youth to be active participants and future leaders in our increasingly data-driven society. We conducted a design-based research project in which a small group (n = 5) of high school youth from diverse backgrounds learned how to code and create data visualizations and stories with public data about climate…
Descriptors: Coding, Data Use, Science and Society, Story Telling
Hutchins, Nicole M.; Biswas, Gautam; Maróti, Miklós; Lédeczi, Ákos; Grover, Shuchi; Wolf, Rachel; Blair, Kristen Pilner; Chin, Doris; Conlin, Luke; Basu, Satabdi; McElhaney, Kevin – Journal of Science Education and Technology, 2020
Synergistic learning combining computational thinking (CT) and STEM has proven to be an effective method for advancing learning and understanding in a number of STEM domains and simultaneously helping students develop important CT concepts and practices. We adopt a design-based approach to develop, evaluate, and refine our Collaborative,…
Descriptors: Physics, Science Instruction, STEM Education, Thinking Skills
Levy, Dalit – Journal of Science Education and Technology, 2013
This paper reports the results of a study aimed at exploring the advantages of dynamic visualization for the development of better understanding of molecular processes. We designed a technology-enhanced curriculum module in which high school chemistry students conduct virtual experiments with dynamic molecular visualizations of solid, liquid, and…
Descriptors: Secondary School Science, Science Instruction, High School Students, Chemistry