Collaborative Research: Facilitating Change in Undergraduate STEM: A multidisciplinary, multimethod metasynthesis mapping a decade of growth

合作研究：促进本科生 STEM 的变革：多学科、多方法的综合综合描绘了十年的发展

• 批准号: 2201793
• 负责人: Scott Simkins
• 金额: $ 10.16万
• 依托单位: North Carolina Agricultural & Technical State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2201793&HistoricalAwards=false
• 关键词: Collaborative; Research; Facilitating; Change; Undergraduate

Research has shown that the use of evidence-based, student-centered instructional strategies helps to increase learning, retention, and equity in undergraduate science, technology, engineering, and mathematics courses. However, it is also clear that commonly used change efforts have not made research-based instruction the norm in U.S. institutions of higher education. Outcomes from this synthetic research will be used to guide efforts to improve undergraduate STEM instruction to generate and support important instructional change within university and college departments and across institutions. This synthetic research reviews the effects of instructional interventions in science, technology, engineering, and mathematics courses at the undergraduate level between the years 2010 and 2021. The review also includes all of social science undergraduate instruction. The specific focus is on efforts to better support student learning of STEM content through instructional change. The review will use a meta-synthesis to identify themes and advances in the literature using a framework synthesis approach. The literature search process is informed by current research on search strategies and represents best practice in synthesis methods. The project uses AI-assisted approaches to identify general themes in the literature. While this is an emerging area of research in systematic review, the plan also builds in a test of the AI-assisted coding against human qualitative coding.This research project is supported by NSF's EHR Core Research (ECR) program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field. Investments are made in critical areas that are essential, broad, and enduring: STEM learning and STEM learning environments, broadening participation in STEM, and STEM workforce development. The program supports the accumulation of robust evidence to inform efforts to understand, build theory to explain, and suggest intervention and innovations to address persistent challenges in STEM interest, education, learning and participation.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.

研究表明，以循证为中心的教学策略的使用有助于增加本科，技术，工程和数学课程中的学习，保留和公平性。但是，很明显，常用的变更工作并未使基于研究的教学成为美国高等教育机构的规范。这项合成研究的结果将用于指导努力，以改善本科STEM教学，以产生和支持大学和大学部门以及跨机构的重要教学变革。这项合成研究回顾了科学，技术，工程和数学课程在2010年至2021年之间的科学，技术，工程和数学课程的影响。该评论还包括所有社会科学本科生的教学。具体的重点是通过教学变化更好地支持学生学习STEM内容的努力。该综述将使用元合成来使用框架合成方法来识别文献中的主题和进步。当前的搜索策略研究为文献搜索过程提供了信息，并代表了综合方法中的最佳实践。该项目使用AI辅助方法来识别文献中的一般主题。尽管这是系统审查研究的新兴领域，但该计划还构建了针对人类定性编码的AI辅助编码的测试。该研究项目得到NSF的EHR EHR Core Research（ECR）计划的支持。 ECR计划强调了基本的STEM教育研究，该研究在该领域产生了基础知识。投资是在重要，广泛和持久的关键领域进行的：STEM学习和STEM学习环境，扩大参与STEM以及STEM劳动力的发展。该计划支持积累强大的证据，以告知努力，以理解，建立理论来解释和提出干预和创新，以应对STEM兴趣，教育，学习和参与方面的持续挑战。该奖项反映了NSF的法定任务，并被视为值得通过基金会的知识分子和更广泛影响的评估来通过评估来提供支持。