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Jae-Sang Han; Hyun-Joo Kim – Journal of Science Education and Technology, 2025
This study explores the potential to enhance the performance of convolutional neural networks (CNNs) for automated scoring of kinematic graph answers through data augmentation using Deep Convolutional Generative Adversarial Networks (DCGANs). By developing and fine-tuning a DCGAN model to generate high-quality graph images, we explored its…
Descriptors: Performance, Automation, Scoring, Models
Identifying the Content, Lesson Structure, and Data Use within Pre-Collegiate Data Science Curricula
Lee, Victor R.; Delaney, Victoria – Journal of Science Education and Technology, 2022
As data become more available and integrated into daily life, there has been growing interest in developing data science curricula for youth in conjunction with scientific practices and classroom technologies. However, the "what" and "how" of data science in pre-collegiate education have not yet reached consensus. This paper…
Descriptors: Data, Data Analysis, Curriculum Development, Educational Practices
Brandin Conrath; Amy Voss Farris; Scott McDonald – Journal of Science Education and Technology, 2025
The changing landscape of geoscience learning has initiated growing interest in engaging science learners with climate data. One approach to teaching climate is the application of broadly accessible digital science curricula, which often include data tools such as visualizations, data representations, and simulations embedded within digital…
Descriptors: Earth Science, Wildlife, Science Education, Climate
Sansom, Rebecca L.; Bodily, Robert; Bates, Caroline O.; Leary, Heather – Journal of Science Education and Technology, 2020
Use of online learning systems, such as learner dashboards, is increasing in university chemistry courses. Learning analytics can support student learning by providing feedback on concept mastery. This paper investigated how student use of a chemistry learner dashboard might be increased through class structure, instructor practice, and dashboard…
Descriptors: Online Systems, Teaching Methods, Data Analysis, Feedback (Response)
Waterman, Kevin P.; Goldsmith, Lynn; Pasquale, Marian – Journal of Science Education and Technology, 2020
Using an example of a grade 3 science unit about population changes during competition for resources, we describe how we integrated computational thinking (CT) into existing curriculum identifying three levels of depth of integration: identifying connections that already exist, enhancing and strengthening connections, and extending units to…
Descriptors: Thinking Skills, Computation, Elementary School Science, Learning Activities
Ching, Cynthia Carter; Hagood, Danielle – Journal of Science Education and Technology, 2019
This paper connects the technological practice of activity monitor gaming to the Next Generation Science Standards (NGSS) science and engineering practice of "analyzing and interpreting data," and to the foundational constructionist idea of personal meaning. In our larger study, eighth-grade students, ages 12-14, wore physical activity…
Descriptors: Middle School Students, Grade 8, Educational Games, Academic Standards
Lehtinen, Antti; Viiri, Jouni – Journal of Science Education and Technology, 2017
Current research indicates that inquiry-based learning should be guided in order to achieve optimal learning outcomes. The need for guidance is even greater when simulations are used because of their high information content and the difficulty of extracting information from them. Previous research on guidance for learning with simulations has…
Descriptors: Active Learning, Inquiry, Guidance, Scaffolding (Teaching Technique)

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