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How to Build a Course in Mathematical–Biological Modeling: Content and Processes for Knowledge and Skill

机译:如何建立数学-生物学建模课程:知识和技能的内容和过程

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Biological problems in the twenty-first century are complex and require mathematical insight, often resulting in mathematical models of biological systems. Building mathematical–biological models requires cooperation among biologists and mathematicians, and mastery of building models. A new course in mathematical modeling presented the opportunity to build both content and process learning of mathematical models, the modeling process, and the cooperative process. There was little guidance from the literature on how to build such a course. Here, I describe the iterative process of developing such a course, beginning with objectives and choosing content and process competencies to fulfill the objectives. I include some inductive heuristics for instructors seeking guidance in planning and developing their own courses, and I illustrate with a description of one instructional model cycle. Students completing this class reported gains in learning of modeling content, the modeling process, and cooperative skills. Student content and process mastery increased, as assessed on several objective-driven metrics in many types of assessments.
机译:在二十一世纪,生物学问题很复杂,需要数学上的洞察力,通常会导致建立生物系统的数学模型。建立数学-生物学模型需要生物学家和数学家之间的合作,并且需要建立模型。数学建模的一门新课程为构建数学模型的内容和过程学习,建模过程以及协作过程提供了机会。文献中很少有关于如何建立这样的课程的指导。在这里,我描述了开发此课程的迭代过程,从目标开始,然后选择内容和过程能力来实现目标。我为教师提供了一些归纳启发式方法,以期在计划和开发自己的课程时寻求指导,并通过一个教学模型周期的说明进行说明。完成本课程的学生报告说,他们在学习建模内容,建模过程和合作技能方面有所收获。在许多类型的评估中,根据几个目标驱动的指标进行了评估,学生的内容和对流程的掌握程度有所提高。

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