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Galloway, Cynthia; Green, Marybeth; Arole, Al-Ameen O.; Fnu, Irfana Begum – Research in Higher Education Journal, 2021
Creating meaningful learning environments that support university students in their early STEM courses has become a focus of interest for many universities. This research investigated an active learning environment where students used Ozobot robots to visualize complex concepts such as Metabolism, Photosynthesis and Cellular Respiration in an…
Descriptors: Robotics, STEM Education, Metabolism, Teaching Methods
Donnelly, Dermot F.; Linn, Marcia C.; Ludvigsen, Sten – Review of Educational Research, 2014
The National Science Foundation-sponsored report "Fostering Learning in the Networked World" called for "a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences." We review research on science inquiry learning environments (ILEs)…
Descriptors: Science Education, Inquiry, Active Learning, Educational Environment
Peer reviewedChou, Chien; Hsu, Hsieh-Lung; Yao, Yu-Seng – Computer Applications in Engineering Education, 1997
Although structural analysis is a fundamental subject in civil engineering, its abstract concepts and the difficulty in visualizing them pose problems for students. This article examines the application of virtual reality (VR) to civil engineering. Describes the design, development, and evaluation of a VR-based learning center for a structural…
Descriptors: Civil Engineering, Computer Software Development, Computer Software Evaluation, Educational Environment
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

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