Promoting Active, Inductive, and Computational Learning in Mathematical Methods for Physicists
Promoting Active, Inductive, and Computational Learning in Mathematical Methods for Physicists
批准号:
1044270
负责人:
Gary Felder
金额:
$13.87万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-07-01 至 2016-06-30
中文摘要
许多物理和工程课程都包含数学技巧的课程。该奖项有助于开发和测试这类课程的一套练习,以便学生更好地理解材料的动机,并帮助学生将计算机技能融入课程。例如,激励练习引导学生完成在屏幕上动画图形所需的步骤(对于矩阵),或者分析恒星位置的数据,以显示太阳系外轨道行星的证据(对于傅立叶级数)。在每一种情况下,学生都被引导使用熟悉的数学推导,最终达到一个点,他们可以看到对一种新的数学技术的迫切需要。计算机辅助练习引导学生完成诸如比较方程的精确解和近似解或求解复杂方程并绘制解等任务。这些练习有助于说明数学原理,同时在具有挑战性和有趣的问题的背景下提高学生的数字技能。这种类型的课程带来了独特的挑战。首先,学生通常在学习了一年或更长时间后才使用开发的数学工具。教育研究表明,在有意义的环境中学习的材料记忆最好,在相关的环境中再次出现的材料记忆最好。因此,本项目正在进行的激励练习有望提高学生的留校率。此外,在我们这个数字时代,这些课程的内容应该经常更新,因为传统的技能(比如徒手解方程系统)往往不如知道如何有效地使用计算机来解决问题重要。在这个项目中开发的练习将在全国范围内产生广泛的影响,因为教授们将被帮助修改他们的课程,在教授传统数学技能的同时教授计算机技能。开发的材料正在网上免费提供,并在国家会议上发表。此外,不同机构的一些参与教师在开发这些材料时自愿使用这些材料。在引入练习之前和之后的学期中,通过测试来评估练习的有效性,在课前和课后测试计算技能,并利用调查来收集学生和教师的反馈。
英文摘要
AbstractMany physics and engineering curricula include a course on mathematical techniques. This award assists in the development and testing of a suite of exercises for this type of course so students better understand the motivation for the material and to help students incorporate computer skills within the course. For example, motivational exercises walk students through the steps needed to animate graphics on a screen (for matrices) or to analyze data on star positions to show evidence of orbiting planets beyond our solar system (for Fourier series). In each case the students are led through derivations using familiar mathematics to eventually reach a point where they can see the vital need for a new mathematical technique. The computer assisted exercises lead students in tasks such as comparing exact and approximate solutions to equations or solving complicated equations and plotting the solutions. These exercises help illustrate mathematical principles while simultaneously enhancing student numerical skills in the context of challenging and interesting problems.Courses of this type pose unique challenges. First, the students often don't use the math tools developed until a year or more after they learn them. Educational research shows that material is retained best when it is learned in a meaningful context and best recalled when it comes up again in a related context. The motivational exercises being developed in this project are therefore expected to improve student retention. In addition, in our digital generation the content of these courses should be frequently updated, since traditional skills (such as solving systems of equations by hand) are often not as important as knowing how to effectively use a computer to solve the problems. The exercises being developed in this project will have a broad national impact as professors are assisted in revising their curricula to teach computer skills alongside traditional math skills.The materials developed are being made freely available on the Web and presented at national conferences. Moreover, a number of participating faculty members at different institutions are volunteering to use these materials as they are developed. The effectiveness of the exercises are being assessed with tests given in semesters before and after the introduction of the exercises, computational skills are tested before and after the class, and surveys are being utilized to gather student and faculty feedback.
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会议论文
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资助金额:70.0万元
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批准年份:2021
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依托单位:
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项目类别:--
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资助金额:70万元
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批准年份:2021
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负责人:成义祥
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依托单位: