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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

Monaghan, James M.; Clement, John – Journal of Science Education and Technology, 2000
Hypothesizes that the construction of visual models, resolution of these visual models with numeric models and, in many cases, rejection of commitments such as the belief in one true velocity, are necessary for students to form integrated mental models of relative motion events. Studies high school students' relative motion problem solving.…
Descriptors: Algorithms, Computer Simulation, Cooperative Learning, High Schools