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Sagrans, Jacob; Mokros, Janice; Voyer, Christine; Harvey, Meggie – Science Teacher, 2022
The use of large, open-source data sets is ubiquitous in scientific research. Scientists--ranging from meteorologists to chemists to epidemiologists--are researching and investigating critical questions using data that they have not themselves collected. To contribute to the growing effort to bring data science into classrooms, the authors have…
Descriptors: Data Analysis, Science Instruction, High School Teachers, Science Teachers
What Works Clearinghouse, 2014
This study examined how using two different ways of displaying the solar system--a true-to-scale mode vs. an orrery mode--affected students' knowledge of astronomical concepts. Solar system displays were presented in a software application on a handheld tablet computer. In the true-to-scale mode, users navigated a simulated three-dimensional solar…
Descriptors: Astronomy, Scientific Concepts, Science Instruction, Visual Aids
What Works Clearinghouse, 2014
The 2014 study, "Conceptualizing Astronomical Scale: Virtual Simulations on Handheld Tablet Computers Reverse Misconceptions," examined the effects of using the true-to-scale (TTS) display mode versus the orrery display mode in the iPad's Solar Walk software application on students' knowledge of the Earth's place in the solar system. The…
Descriptors: Astronomy, Science Instruction, Computer Simulation, Handheld Devices
White, Brian; Kahriman, Azmin; Luberice, Lois; Idleh, Farhia – Biochemistry and Molecular Biology Education, 2010
Communicating an understanding of the forces and factors that determine a protein's structure is an important goal of many biology and biochemistry courses at a variety of levels. Many educators use computer software that allows visualization of these complex molecules for this purpose. Although visualization is in wide use and has been associated…
Descriptors: Undergraduate Students, Visualization, Computer Software, Biochemistry
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies
Elmore, Donald E.; Guayasamin, Ryann C.; Kieffer, Madeleine E. – Biochemistry and Molecular Biology Education, 2010
As computational modeling plays an increasingly central role in biochemical research, it is important to provide students with exposure to common modeling methods in their undergraduate curriculum. This article describes a series of computer labs designed to introduce undergraduate students to energy minimization, molecular dynamics simulations,…
Descriptors: Science Instruction, Biochemistry, College Science, Undergraduate Students
Klopfer, Eric; Scheintaub, Hal; Huang, Wendy; Wendel, Daniel; Roque, Ricarose – E-Learning, 2009
StarLogo The Next Generation (TNG) enables secondary school students and teachers to model decentralized systems through agent-based programming. TNG's inclusion of a three-dimensional graphical environment provides the capacity to create games and simulation models with a first-person perspective. The authors theorize that student learning of…
Descriptors: Curriculum Development, Creative Thinking, Secondary School Students, Pilot Projects
Gobert, Janice D.; Koedinger, Kenneth R. – Society for Research on Educational Effectiveness, 2011
The National frameworks for science emphasize inquiry skills (NRC, 1996), however, in typical classroom practice, science learning often focuses on rote learning in part because science process skills are difficult to assess (Fadel, Honey, & Pasnick, 2007) and rote knowledge is prioritized on high-stakes tests. Short answer assessments of…
Descriptors: Performance Based Assessment, Predictive Validity, High Stakes Tests, Rote Learning