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Hossain, Zahid; Bumbacher, Engin; Brauneis, Alison; Diaz, Monica; Saltarelli, Andy; Blikstein, Paulo; Riedel-Kruse, Ingmar H. – International Journal of Artificial Intelligence in Education, 2018
The Next Generation Science Standards (NGSS) and other national frameworks are calling for much more sophisticated approaches to STEM education, centered around the integration of complex experimentation (including real labs, not just simulations), data collection and analysis, modeling, and data-driven argumentation, i.e., students can behave…
Descriptors: STEM Education, Teaching Methods, Online Courses, Science Laboratories
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Blikstein, Paulo; Fuhrmann, Tamar; Salehi, Shima – Journal of Science Education and Technology, 2016
In this paper, we investigate an approach to supporting students' learning in science through a combination of physical experimentation and virtual modeling. We present a study that utilizes a scientific inquiry framework, which we call "bifocal modeling," to link student-designed experiments and computer models in real time. In this…
Descriptors: High School Students, Secondary School Science, Science Education, Models
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Bumbacher, Engin; Salehi, Shima; Wieman, Carl; Blikstein, Paulo – Journal of Science Education and Technology, 2018
Manipulative environments play a fundamental role in inquiry-based science learning, yet how they impact learning is not fully understood. In a series of two studies, we develop the argument that manipulative environments (MEs) influence the kind of inquiry behaviors students engage in, and that this influence realizes through the affordances of…
Descriptors: Manipulative Materials, Active Learning, Inquiry, Science Education
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Blikstein, Paulo; Gomes, July Silveira; Akiba, Henrique Teruo; Schneider, Bertrand – Technology, Knowledge and Learning, 2017
Technology is changing the way students interact with knowledge, and open-ended activities are one of the main types of tasks that students engage with in technology-rich environments. However, the amount of guidance needed to promote learning in these environments remains unknown. We explore this issue by focusing on the effects of step-by-step…
Descriptors: Teaching Methods, Educational Technology, Technology Uses in Education, Arousal Patterns
Bumbacher, Engin; Salehi, Shima; Wierzchula, Miriam; Blikstein, Paulo – International Educational Data Mining Society, 2015
Studies comparing virtual and physical manipulative environments (VME and PME) in inquiry-based science learning have mostly focused on students' learning outcomes but not on the actual processes they engage in during the learning activities. In this paper, we examined experimentation strategies in an inquiry activity and their relation to…
Descriptors: Physics, Science Instruction, College Students, Predictor Variables
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Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses