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Ayalew, Mentewab; Hylton, Derrick; Sistrunk, Jeticia; Melton, James; Johnson, Kiandra; Voit, Eberhard – PRIMUS, 2022
The integration of biology with mathematics and computer science mandates the training of students capable of comfortably navigating among these fields. We address this formidable pedagogical challenge with the creation of transdisciplinary modules that guide students toward solving realistic problems with methods from different disciplines.…
Descriptors: Biology, Science Instruction, Mathematics Instruction, Interdisciplinary Approach
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Merck, Madeline F.; Gallagher, Melissa A.; Habib, Emad; Tarboton, David – International Journal of Research in Undergraduate Mathematics Education, 2021
Engineering students need to spend time engaging in mathematical modeling tasks to reinforce their learning of mathematics through its application to authentic problems and real world design situations. Technological tools and resources can support this kind of learning engagement. We produced an online module that develops students' mathematical…
Descriptors: Engineering Education, Mathematical Models, Mathematics Skills, Skill Development
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Jungck, John R. – PRIMUS, 2022
Finite Mathematics has become an enormously rich and productive area of contemporary mathematical biology. Fortunately, educators have developed educational modules based upon many of the models that have used Finite Mathematics in mathematical biology research. A sufficient variety of computer modules that employ graph theory (phylogenetic trees,…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematical Models, Learning Modules
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Hoffman, Kathleen; Leupen, Sarah; Dowell, Kathy; Kephart, Kerrie; Leips, Jeff – CBE - Life Sciences Education, 2016
Redesigning undergraduate biology courses to integrate quantitative reasoning and skill development is critical to prepare students for careers in modern medicine and scientific research. In this paper, we report on the development, implementation, and assessment of stand-alone modules that integrate quantitative reasoning into introductory…
Descriptors: Undergraduate Study, College Science, Biology, Thinking Skills
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Lee, Kilho; Comolli, Noelle K.; Kelly, William J.; Huang, Zuyi – Chemical Engineering Education, 2015
Mathematical models play an important role in biochemical engineering. For example, the models developed in the field of systems biology have been used to identify drug targets to treat pathogens such as Pseudomonas aeruginosa in biofilms. In addition, competitive binding models for chromatography processes have been developed to predict expanded…
Descriptors: Chemical Engineering, Biochemistry, College Science, Science Instruction
Geiger, Vince; Date-Huxtable, Liz; Ahlip, Rehez; Herberstein, Marie; Jones, D. Heath; May, E. Julian; Rylands, Leanne; Wright, Ian; Mulligan, Joanne – Mathematics Education Research Group of Australasia, 2016
The purpose of this paper is to describe the processes utilised to develop an online learning module within the Opening Real Science (ORS) project--"Modelling the present: Predicting the future." The module was realised through an interdisciplinary collaboration, among mathematicians, scientists and mathematics and science educators that…
Descriptors: Foreign Countries, Instructional Design, Electronic Learning, Preservice Teachers
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Wedelin, Dag; Adawi, Tom; Jahan, Tabassum; Andersson, Sven – European Journal of Engineering Education, 2015
How do engineering students approach mathematical modelling problems and how can they learn to deal with such problems? In the context of a course in mathematical modelling and problem solving, and using a qualitative case study approach, we found that the students had little prior experience of mathematical modelling. They were also inexperienced…
Descriptors: Engineering Education, Mathematical Models, Problem Solving, Qualitative Research
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Lavrov, Evgeniy; Kupenko, Olena; Lavryk, Tetiana; Barchenko, Natalia – Informatics in Education, 2013
With a significant increase in the number of e-learning resources the issue of quality is of current importance. An analysis of existing scientific and methodological literature shows the variety of approaches, methods and tools to evaluate e-learning materials. This paper proposes an approach based on the procedure for estimating parameters of…
Descriptors: Foreign Countries, Human Factors Engineering, Electronic Learning, Learning Modules