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Wan, Tong; Doty, Constance M.; Geraets, Ashley A.; Saitta, Erin K. H.; Chini, Jacquelyn J. – International Journal of STEM Education, 2023
Background: In college science laboratory and discussion sections, student-centered active learning strategies have been implemented to improve student learning outcomes and experiences. Research has shown that active learning activities can increase student anxiety if students fear that they could be negatively evaluated by their peers. Error…
Descriptors: College Science, Science Laboratories, Student Centered Learning, Learning Strategies
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PaaBen, Benjamin; Bertsch, Andreas; Langer-Fischer, Katharina; Rüdian, Sylvio; Wang, Xia; Sinha, Rupali; Kuzilek, Jakub; Britsch, Stefan; Pinkwart, Niels – International Educational Data Mining Society, 2021
Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…
Descriptors: Anatomy, Science Instruction, Computer Simulation, Computer Software
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
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Martin-Blas, Teresa; Seidel, Luis; Serrano-Fernandez, Ana – European Journal of Engineering Education, 2010
This work presents the results of a study whose aim is to detect systematic errors about the concept of force among freshmen students. The researchers analysed the results of the Force Concept Inventory test, which was administered to two different groups of students. The results show that, although there were significant performance variations…
Descriptors: Mechanics (Physics), Misconceptions, Scientific Concepts, Engineering Education
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Shacham, Mordechai; Brauner, Neima; Ashurst, W. Robert; Cutlip, Michael B. – Chemical Engineering Education, 2008
Mathematical software packages such as Polymath, MATLAB, and Mathcad are currently widely used for engineering problem solving. Applications of several of these packages to typical chemical engineering problems have been demonstrated by Cutlip, et al. The main characteristic of these packages is that they provide a "problem-solving environment…
Descriptors: Mathematical Models, Computer Software, Problem Solving, Chemical Engineering
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection