Collaborative Research: Understanding and Supporting Student Intrinsic Motivation in STEM Courses
Collaborative Research: Understanding and Supporting Student Intrinsic Motivation in STEM Courses
批准号:
1445950
负责人:
Michael Gross
金额:
$11.98万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-07-01 至 2017-08-31
中文摘要
在以往动机研究工作的基础上,该项目正在收集和分析定量和定性的数据,以提高描述和解释工科教育所需不同本科课程中学生动机的关键特征的能力。这个项目是让教师参与到解释学生动机数据的过程中,将这些研究数据与动机理论和课程设计结合起来,并开发旨在增强STEM学生内在动力的课程修订。智力价值本研究建立在先前的研究基础上,该研究表明,教师可以通过他们的课程设计决策直接影响学生的动机,特别是内在动机。为了利用这种关系的潜力,教师既需要对学生学习动机的类型有更细微的了解,也需要有更清晰的方法将理论和经验数据转化为课程水平的见解。这个项目正在衡量学生对不同的STEM环境、教学方法和作业的反应。这些反应的时间演变是STEM学生动机驱动可转移研究和泛化理论发展的焦点。对动机数据的分析以更微妙的方式检验了按课程活动、学习年份和性别划分的动机的总体趋势。动机是动态的,容易受到频繁的、有时是快速的变化的影响。这项分析使用基于群体的聚类技术来发现不同类型的动机反应的强度、持久性和分布。它使用定性分析来解释动机和学习环境之间的关系,并阐明动机的性别差异。在多门课程分析中同时使用基于变量和基于聚类的分析有助于更好地理解教学设计对有效实践的影响。更广泛的IMPACTS美国国家工程院告诫我们要为STEM毕业生准备好“未来世界所需要的工具,而不是今天的世界所需要的工具”。这些工具包括创造力、批判性思维、弹性、灵活性和自律。教育研究表明,改善对学习者动机的理解对于促进系统地转向这些高水平的结果是重要的。然而,在对学生动机的研究性理解和将这些研究见解应用于日常课堂实践之间,仍然存在很大的差距。该项目的成果将对8所参与院校的20多名STEM教师产生立竿见影的影响,通过突出促使不同动机反应和动机转变的活动,解释动机与环境的相互作用,并使教师能够利用研究数据做出明智的战略选择,以更好地鼓励自主行为。该项目扩大了STEM教员队伍,他们可以通过聘用职业生涯早期的教员和那些以前有限参与STEM教育改革的人来做出知情的、数据驱动的决策。
英文摘要
Building on prior work in motivation, this project is collecting and analyzing quantitative and qualitative data to improve the capability to characterize and explain key characteristics of student motivation in diverse undergraduate courses required for engineering education. This project is engaging instructors in the process of interpreting student motivation data, coupling these research data to motivation theory and course design, and developing course revisions aimed at enhancing STEM students' intrinsic drive.Intellectual MeritThis research rests on prior research that shows that instructors can directly influence student motivation, particularly intrinsic motivation, through their course design decisions. To capitalize on the potential of this relationship, instructors need both a more nuanced understanding of the types of student motivations for learning and access to clearer methods for translating theory and empirical data to course-level insights. This project is measuring individual student responses to diverse STEM environments, pedagogies, and assignments. The temporal evolution of these responses is a focal point in the development of transferable research and generalizable theories for STEM student motivational drive.The analysis of motivation data in more nuanced ways examines general trends in motivation by course activity, year of study, and gender. Motivation is dynamic and susceptible to frequent and sometimes rapid change. The analysis uses group-based clustering techniques to discover the strength, persistence, and distribution of different types of motivational responses. It employs qualitative analyses to explain the relationships between motivation and the learning environment and elucidate gendered differences in motivation. Using both variable- and cluster-based analyses in multiple course analyses has promise in developing better understanding of the impact of instructional design on effective practice. BROADER IMPACTSThe National Academy of Engineering exhorts us to prepare STEM graduates with "the tools needed for the world as it will be, not as it is today." Among these tools are creativity, critical thinking, resiliency, flexibility, and self-regulation. Educational research suggests that improved understanding of learner motivation is important to facilitate a systemic shift toward these high-level outcomes. However, a large gap remains between the research-based understanding of student motivation, and the application of those research insights to day-to-day classroom practice. The output from this project will have an immediate impact on over 20 STEM instructors at the 8 participating institutions, by highlighting activities that prompt different motivational responses and motivational shifts, explaining motivation-environment interactions, and by enabling instructors to use research data to make informed and strategic choices to better encourage self-determined behaviors. The project expands the pool of STEM faculty who can make informed, data-driven decisions by engaging early-career faculty and those with limited prior involvement in STEM educational reform.
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