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

研究表明，使用以证据为基础、以学生为中心的教学策略有助于提高本科科学、技术、工程和数学课程的学习、保持和公平。然而，也很明显，通常使用的变革努力并没有使研究型教学成为美国高等教育机构的常态。这项综合研究的结果将被用来指导改进本科STEM教学的努力，以产生和支持大学和学院系内以及跨机构的重要教学变革。这项综合研究回顾了2010至2021年间本科阶段科学、技术、工程和数学课程教学干预的效果。审查还包括所有社会科学本科教学。具体的重点是努力通过教学改革更好地支持学生学习STEM内容。审查将使用综合集成来确定文献中的主题和进展，采用框架综合的方法。文献搜索过程由当前对搜索策略的研究提供信息，并代表了综合方法的最佳实践。该项目使用人工智能辅助的方法来确定文献中的一般主题。虽然这是系统回顾中的一个新兴研究领域，但该计划也建立了人工智能辅助编码与人类定性编码的测试。该研究项目得到了NSF的EHR核心研究(ECR)计划的支持。ECR计划强调基础STEM教育研究，以产生该领域的基础知识。在基本、广泛和持久的关键领域进行投资：STEM学习和STEM学习环境，扩大STEM的参与，以及STEM劳动力发展。该计划支持积累强有力的证据，为理解、构建解释理论并提出干预和创新建议的努力提供信息，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的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.