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Schuman, Carrie; Stofer, Kathryn A.; Anthony, Lisa; Neff, Hannah; Chang, Peter; Soni, Nikita; Darrow, Alice; Luc, Annie; Morales, Amanda; Alexandre, Jeremy; Kirkland, Brittani – Research in Science Education, 2022
Conceptualizing and understanding global, physical systems like Earth's ocean is challenging. Data visualizations on touch-based technology allow learners to explore systems and facilitate embodied experiences, promoting deeper understanding. We investigated how direct manipulation of data visualizations on a touchscreen table affords meaningful…
Descriptors: Oceanography, Data Analysis, Visual Aids, Technology Uses in Education
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Nani Teig – Research in Science Education, 2024
The advancement of technology has led to a growing interest in assessing scientific inquiry within digital platforms. This shift towards dynamic and interactive inquiry assessments enables researchers to investigate not only the accuracy of student responses ("product data") but also their steps and actions leading to those responses…
Descriptors: Learning Strategies, Problem Solving, Science Process Skills, Inquiry
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Boesdorfer, Sarah B.; Del Carlo, Dawn I.; Wayson, Jessica – Research in Science Education, 2022
Despite the promotion of data-driven or data-informed instructional practices in teacher education and professional development, past research indicates that teachers use a limited number of sources for student data to make short-term adjustments to their teaching in order to address deficiencies in student learning. Science teachers, with a more…
Descriptors: Secondary School Teachers, Data Use, Teaching Methods, Data Analysis
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Anna G. Brady – Research in Science Education, 2024
Computer-based learning environments (CBLEs) are powerful tools to support student learning. Increasingly of interest is the data that is recorded as learners interact with a CBLE. This "process data" yields opportunities for researchers to examine learners' engagement with a CBLE and explore whether specific interactions are associated…
Descriptors: Electronic Learning, Educational Environment, Data Use, Learner Engagement
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Meister, Sabine; Krell, Moritz; Göhner, Maximilian; Upmeier zu Belzen, Annette – Research in Science Education, 2021
In this research project we investigate the role of responses to anomalous data during modelling processes. Modelling is seen as a comprehensive practice that encompasses various aspects of scientific thinking; hence, it is an important style of scientific thinking, especially if analysed from a process-based perspective. Therefore, it provides…
Descriptors: Preservice Teachers, Science Teachers, Biology, Responses