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Koshut, W. J.; Arnold, A. M.; Smith, Z. C.; Wright, Z. M.; Sydlik, S. A. – Journal of Chemical Education, 2019
This work describes a semester-long learning module designed to equip students with the analytical and practical skills necessary to be successful in an interdisciplinary polymer research environment. This learning module combines laboratory experiments involving both synthesis and materials characterization with lectures in polymer theory, and…
Descriptors: Plastics, Hands on Science, Laboratory Experiments, Lecture Method
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Hansson, Lena; Hansson, Örjan; Juter, Kristina; Redfors, Andreas – Science & Education, 2015
This article discusses the role of mathematics during physics lessons in upper-secondary school. Mathematics is an inherent part of theoretical models in physics and makes powerful predictions of natural phenomena possible. Ability to use both theoretical models and mathematics is central in physics. This paper takes as a starting point that the…
Descriptors: Physics, Secondary School Students, Science Instruction, Observation
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Feizabadi, Mitra Shojania – Bioscene: Journal of College Biology Teaching, 2009
The importance of including concepts, examples, and techniques from mathematics and the physical and information sciences in biology courses to fulfill the need of today's undergraduates has been the principle motivation for developing interdisciplinary biology-focused courses. Although this movement started many years ago, developing and offering…
Descriptors: Biophysics, Biology, College Science, Science Instruction
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