Profiles of Science Engagement: Broadening Participation by Understanding Individual and Contextual Influences

科学参与概况：通过了解个人和背景影响扩大参与

• 批准号: 1661064
• 负责人: Jennifer Schmidt
• 金额: $ 49.99万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-15 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1661064&HistoricalAwards=false
• 关键词: Profiles; Science; Engagement; Broadening; Participation

The ECR (Education and Human Resources Core Research) program emphasizes fundamental STEM education research that will generate foundational knowledge in the field. This study will investigate student engagement in science in the interest of of broadening participation in STEM fields. This will be an important undertaking since research shows that low student engagement is a major challenge for students from subpopulations often underrepresented in STEM fields. The research will help advance knowledge in STEM areas where empirical studies of student engagement have lagged behind theoretical work in this area. Few studies have measured student engagement holistically as a multifaceted construct for broadening participation in science. This study will advance knowledge in STEM education by identifying instructional contexts that foster optimal student engagement and by examining whether adolescent students' engagement profiles in science vary systematically by gender, grade, race/ethnicity, and the intersection of these factors. It will serve the national interest by investigating the extent to which engagement profiles are consistent across and related to features of the science learning context, achievement and persistence-related outcomes; and if these relationships differ by gender, grade, race/ethnicity, and the intersection of these factors. The study will also examine how science educators respond to the identified profiles and to variations observed, and will use this knowledge in designing materials to disseminate findings to practitioners. This project will use a person-oriented analytic approach to examine individual differences and contextual variation in students' engagement in different science learning environments, and to link engagement patterns to students' achievement and persistence in STEM fields. Rich multi-method data sets will be used to develop profiles of student engagement involving adolescents' cognitive, affective, and behavioral states during the science learning process. These data will be instrumental in focusing, guiding, and communicating research efforts to practice. In addition to the knowledge generated and disseminated through traditional academic outlets, the project will develop two tangible products. The first product will be a free and publicly available statistical software library, or package, of tools and functions needed to conduct person-oriented analysis in R, the open-source programming language and software. These tools will be available for researchers, scholars, and developers. The second product will be a user-friendly guide that will inform science educators about engagement profiles and practices that engage students, including those from underrepresented groups in science, in the most meaningful ways. The guide to student engagement will help educators identify and respond to student engagement around science content, and to design lesson plans that may support greater engagement. The guide will be used for purposes of professional development and teacher preparation, impacting STEM scholars and educators, and training graduate students and post-doctoral fellow as they take part in research activities.

ECR（教育和人力资源核心研究）计划强调了基本的STEM教育研究，该研究将在该领域产生基础知识。这项研究将研究学生参与科学的参与，以扩大参与STEM领域的参与。这将是一项重要的工作，因为研究表明，学生参与度较低是来自STEM领域通常代表不足的亚人群的学生的主要挑战。这项研究将有助于提高知识在STEM领域的知识，在该领域的实证研究落后于该领域的理论工作。很少有研究可以从整体上衡量学生的参与度，作为一种多方面的结构，用于扩大参与科学的参与。这项研究将通过确定培养最佳学生参与的教学环境，并检查青少年学生在科学领域的参与度是否会因性别，年级，种族/民族和这些因素的交集而系统变化，从而提高了STEM教育知识。它将通过调查参与概况在多大程度上与科学学习环境，成就和与持久性相关的结果保持一致并相关的程度来满足国家利益；如果这些关系因性别，等级，种族/种族以及这些因素的交集而有所不同。该研究还将研究科学教育者如何应对所确定的概况和观察到的变化，并将使用这些知识来设计材料来向从业人员传播发现。该项目将使用以人为本的分析方法来检查学生在不同科学学习环境中参与的个体差异和上下文差异，并将参与模式与学生在STEM领域的成就和持久性联系起来。丰富的多方法数据集将用于开发涉及青少年在科学学习过程中的认知，情感和行为状态的学生参与度的概况。这些数据将有助于集中，指导和交流研究工作。除了通过传统学术渠道产生和传播的知识外，该项目还将开发两个有形的产品。第一个产品将是在开源编程语言和软件R中进行以人为本分析所需的工具和功能的免费公开统计软件库或软件包。这些工具将用于研究人员，学者和开发人员。第二个产品将是一项用户友好的指南，将以最有意义的方式将参与学生的参与资料和实践告知参与者，包括科学领域代表性不足的人。 《学生参与指南》将帮助教育工作者确定并应对有关科学内容的学生参与度，并设计可能支持更多参与的课程计划。该指南将用于专业发展和教师准备的目的，影响STEM学者和教育工作者，并在参加研究活动时培训研究生和博士后研究员。

项目成果

A person-in-context approach to student engagement in science: Examining learning activities and choice: ENGAGEMENT, LEARNING ACTIVITY, AND CHOICE

学生参与科学的以人为本的方法：检查学习活动和选择：参与、学习活动和选择

• DOI: 10.1002/tea.21409
• 发表时间: 2018
• 期刊: Journal of Research in Science Teaching
• 影响因子: 4.6
• 作者: Schmidt, Jennifer A.;Rosenberg, Joshua M.;Beymer, Patrick N.
• 通讯作者: Beymer, Patrick N.