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Rivera-Ortega, Uriel – Physics Education, 2021
A Science, Technology, Engineering and Mathematics (STEM) tool is proposed in this manuscript; which consists of an interactive, simple and low-cost computer based simulation and game, with the aim of easing the teaching/learning process regarding the physics concept of projectile motion. The novelty of this proposal relies on the use of a…
Descriptors: Physics, Science Instruction, Computer Software, Graduate Students
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Peterson, Celeste N.; Tavana, Sara Z.; Akinleye, Olukemi P.; Johnson, Walter H.; Berkmen, Melanie B. – Biochemistry and Molecular Biology Education, 2020
Biology and biochemistry students must learn to visualize and comprehend the complex three-dimensional (3D) structures of macromolecules such as proteins or DNA. However, most tools available for teaching biomolecular structures typically operate in two dimensions. Here, we present protocols and pedagogical approaches for using immersive augmented…
Descriptors: Teaching Methods, Molecular Structure, Computer Software, Biochemistry
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Finch, Lila; Moreno, Celeste; Shapiro, R. Benjamin – Cognition and Instruction, 2021
Creating learning environments that integrate arts, sciences, and computing in education can improve learning in these disciplines. In particular, transdisciplinary integrations of these disciplines can lead to expansive alterations or dissolutions of epistemological, ideological, and methodological boundaries. We wish to support teachers in the…
Descriptors: Interdisciplinary Approach, Learning Processes, Thinking Skills, Epistemology
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