STEM
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Student and instructor perceptions of data science integration into science and engineering courses
Naseri, Mohammad Yunus, Snyder, Caitlin, Biswas, Gautam, Henrick, Erin C., Hotchkiss, Erin R., Jha, Manoj Kumar, Jiang, Steven, Kern, Emily C., Lohani, Vinod K., Marston, Landon T., Vanags, C. P., & Xia, Kang. (2025). Student and instructor perceptions of data science integration into science and engineering courses. European Journal… Read MoreDec. 19, 2025
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Defining and Assessing Students’ Computational Thinking in a Learning by Modeling Environment
Zhang, Ningyu, & Biswas, Gautam. (2019). Defining and assessing students’ computational thinking in a learning by modeling environment. In *Computational Thinking Education* (pp. 203-221). https://doi.org/10.1007/978-981-13-6528-7_12 Researchers in learning sciences have suggested that there is a strong connection between learning STEM subjects… Read MoreJul. 28, 2025
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A Comparison of Computational Practices and Student Challenges Across Three Types of Computational Modeling Activities Integrating Science and Engineering
Basu, Satabdi; Rachmatullah, Arif; McElhaney, Kevin; Alozie, Nonye; Yang, Hui; Hutchins, Nicole; Biswas, Gautam; Mills, Kelly. “A comparison of computational practices and student challenges across three types of computational modeling activities integrating science and engineering.” Computer-Supported Collaborative Learning Conference, CSCL (2024): 1778-1781. https://repository.isls.org//handle/1/10808… Read MoreJun. 20, 2025
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Design and Implementation of a Week-long, High School Curriculum Unit Integrating Physics and Computational Modeling
McElhaney, Kevin W.; Basu, Satabdi; McBride, Elizabeth; Hutchins, Nicole; Biswas, Gautam. “Design and implementation of a week-long, high school curriculum unit integrating physics and computational modeling.” Computer-Supported Collaborative Learning Conference, CSCL (2023): 497-504. https://repository.isls.org//handle/1/10289 Getting students involved in computational modeling (CM)—where… Read MoreJun. 20, 2025
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Catalyzing Teachers’ Evidence-Based Responses to Students’ Problem-Based Learning in STEM
Hutchins, Nicole M.; Biswas, Gautam. “Catalyzing teachers’ evidence-based responses to students’ problem-based learning in STEM.” Computer-Supported Collaborative Learning Conference, CSCL (2023): 154-161.https://repository.isls.org/handle/1/9968 This paper looks at how middle school STEM teachers understand what their students are learning and how they solve… Read MoreJun. 20, 2025
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Using collaborative interactivity metrics to analyze students’ problem-solving behaviors during STEM+C computational modeling tasks
Snyder, Caitlin; Cohn, Clayton; Fonteles, Joyce Horn; Biswas, Gautam. “Using collaborative interactivity metrics to analyze students’ problem-solving behaviors during STEM+C computational modeling tasks.” Learning and Individual Differences 121 (2025): 102724. https://doi.org/10.1016/j.lindif.2025.102724. Recently, there has been a big increase in creating… Read MoreJun. 20, 2025