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Exploring STEM Impact and Engagement in Student-Led and Purpose-Driven Projects

探索学生主导和目标驱动项目中的 STEM 影响和参与度

基本信息

批准号：
1759224
负责人：
Nathan Holbert
金额：
$ 10.3万
依托单位：
Teachers College, Columbia University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2021-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1759224&HistoricalAwards=false
关键词：
Exploring STEM Impact Engagement Student

项目摘要

This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase student motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) through advancing student skills and interest in the area of data science. We live in a data-driven age where data and the skills associated with it are in high demand in STEM fields and beyond. Many students, particularly those from groups under-represented in STEM professions, are given few opportunities to engage with data in a way that connects their lived experiences to scientific practices. This project aims to address this by empowering youth to construct solutions to personally meaningful community challenges using open-source data. By putting youth in a position to identify personally meaningful projects, and anchoring them in a collaborative team of educators, data scientists, industry professionals, and community groups all with the shared aim of solving a problem in their local community, the project supports students in seeing see STEM practices as aligning with their personal identity and values. By positioning students as leads in designing projects that address compelling community challenges, training them to become familiar with data science tools for solutions-oriented learning, and amplifying their voice to share their solutions with key stakeholders, this project provides important insight into the factors and experiences that contribute to student learning and examines how to better use co-designed and shared data-driven experiences to broaden participation and diversify STEM workforces.This two-year collaborative research project will address the lack of diversity in STEM fields by engaging high school aged learners in an after-school club that uses data to identify a compelling local community challenge and to design a potential solution to address the problem. Leveraging the constructionist design paradigm and research on project-based service learning, the project will investigate how framing STEM practices to contribute to and improve one's community might increase student interest in and shift identity towards STEM fields. Rather than create a one-size-fits-all activity that assumes a community problem, the project aims to develop and study design frameworks for creating personally meaningful and learner-centric experiences and activities that can be deployed in a broad range of communities with similar demographics. Year 1 of the project will be devoted to the development of a network of education and industry partners and pilot activity design and evaluation. In year 2, a pilot will be deployed at two locations with eight partnering schools. Research activities will include the evaluation of student learning about the core concepts and practices of data science, students' personal connections with local communities, and students' STEM interests and identities. The project will deepen collaborations between Lamont-Doherty Earth Observatory, Teachers College, the New York City Department of Education's Division on Teaching and Learning, community organizations, school educators, and relevant industry partners.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将推进学生和教师创新技术体验（ITEST）计划的努力，以更好地理解和促进通过提高学生在数据科学领域的技能和兴趣，提高学生在科学，技术，工程或数学（STEM）领域追求职业生涯的动机和能力的实践。我们生活在一个数据驱动的时代，数据和与之相关的技能在STEM领域和其他领域都有很高的需求。许多学生，特别是那些来自STEM专业代表性不足的群体的学生，很少有机会以将他们的生活经验与科学实践联系起来的方式参与数据。该项目旨在解决这一问题，使青年能够利用开源数据构建解决方案，以应对对个人有意义的社区挑战。通过让年轻人能够识别对个人有意义的项目，并将其锚定在由教育工作者、数据科学家、行业专业人士和社区团体组成的协作团队中，所有人都有解决当地社区问题的共同目标，该项目支持学生将STEM实践视为与他们的个人身份和价值观相一致。通过将学生定位为设计解决引人注目的社区挑战的项目的领导者，培训他们熟悉以解决方案为导向的学习的数据科学工具，并扩大他们的声音，与关键利益相关者分享他们的解决方案，这个项目提供了重要的洞察因素和经验，有助于学生的学习，并探讨如何更好地使用共同设计和共享的数据-这个为期两年的合作研究项目将通过让高中年龄的学习者参加课外俱乐部来解决STEM领域缺乏多样性的问题，该俱乐部使用数据来确定一个引人注目的当地社区挑战，并设计一个潜在的解决方案来解决这个问题。利用建构主义的设计范式和基于项目的服务学习的研究，该项目将调查如何制定STEM实践，以促进和改善一个人的社区可能会增加学生的兴趣，并将身份转移到STEM领域。而不是创建一个一刀切的活动，假设一个社区的问题，该项目的目的是开发和研究设计框架，创造个人有意义的和以学习者为中心的经验和活动，可以部署在广泛的社区与类似的人口统计。该项目的第一年将致力于发展教育和工业合作伙伴网络以及试点活动的设计和评价。在第二年，将在两个地点与八所合作学校进行试点。研究活动将包括评估学生对数据科学的核心概念和实践的学习，学生与当地社区的个人联系，以及学生的STEM兴趣和身份。该项目将深化拉蒙特-多尔蒂地球观测站、师范学院、纽约市教育部教学处、社区组织、学校教育工作者和相关行业合作伙伴之间的合作。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。