ExplainIt: Improving Student Learning with Explanation-based Classroom Response Systems

ExplainIt：通过基于解释的课堂响应系统改善学生的学习

• 批准号: 2111473
• 负责人: James Lester
• 金额: $ 145.65万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-15 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2111473&HistoricalAwards=false
• 关键词: ExplainIt; Improving; Student; Learning; Explanation

This project aims to serve the national interest by creating ExplainIt, an innovative explanation-based classroom response system that provides real-time support to undergraduate STEM students and instructors by using natural language processing to analyze student explanations of STEM phenomena. The project will advance understanding of how to improve undergraduate STEM education by providing real-time formative feedback to each individual student and real-time summaries to instructors so they can quickly adapt their instruction to the current needs of their students. The project will produce significant theoretical and practical advances in undergraduate STEM education. It will lead to a deeper understanding of how students learn with explanation-based classroom response systems, including the learning gains and improvements in student engagement. It will also lead to a set of effective instructional support principles for explanation-rich classroom interactions that will be broadly applicable in multiple STEM disciplines and in diverse institutional settings. Together, these advances will yield fundamental improvements in undergraduate STEM education.Three goals guide this project. First is to create the ExplainIt explanation-based classroom response system. Second is to produce empirically grounded research results on adaptively supporting student learning and engagement with ExplainIt. Third is to develop online resources that enable instructors to easily integrate ExplainIt into their teaching. Each year, instructors in biology, computer science, and physics will contribute to the design, development, and evaluation of the ExplainIt software. The project will investigate conditions under which improved student learning occurs by evaluating ExplainIt in a wide range of undergraduate STEM courses. ExplainIt will be evaluated with more than 6,000 students in introductory courses, lower-division courses, and upper-division courses. The evaluation will have a dual focus: evaluating ExplainIt’s effects on students’ STEM learning (conceptual knowledge, problem solving), and evaluating ExplainIt’s effects on improving students’ engagement in STEM (STEM self-efficacy, STEM interest). The project team will grow the ExplainIt community of practice through workshops and presentations at conferences on biology education, computer science education, and physics education, as well as through webinars and social media. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.

该项目旨在通过创建Instruct（一种创新的基于解释的课堂响应系统）来为国家利益提供服务，该系统通过使用自然语言处理来分析学生对STEM现象的解释，从而为本科STEM学生和讲师提供实时支持。该项目将通过向每个学生提供实时形成反馈以及向讲师的实时摘要来提高如何改善本科STEM教育的理解，以便他们可以迅速适应学生的当前需求。该项目将在本科STEM教育方面产生重大的理论和实践进步。这将导致对学生如何通过基于解释的课堂响应系统的学习方式进行更深入的了解，包括学习成就和学生参与度的改善。这还将导致一系列有效的教学支持原则，用于解释丰富的课堂互动，这些互动将广泛适用于多个STEM学科和潜水机构的机构。这些进步将共同为本科教育提供根本的改进。三个目标指导该项目。首先是创建基于解释说明的课堂响应系统。其次是为了自适应支持学生学习和与Instrupt的参与而产生迫切扎根的研究结果。第三是开发在线资源，使讲师能够轻松地将解释纳入他们的教学中。每年，生物学，计算机科学和物理学的讲师都会为解释软件的设计，开发和评估做出贡献。该项目将调查通过评估各种本科茎课程的解释，从而改善了学生学习的情况。解释将与6,000多名学生进行介绍课程，下限课程和上限课程的评估。评估将以双重重点：评估解释对学生STEM学习的影响（概念知识，解决问题），并评估解释对改善学生参与STEM的影响（STEM自我效果，STEM兴趣）的影响。项目团队将通过在生物学教育，计算机科学教育和物理教育以及通过网络研讨会和社交媒体上的研讨会和演讲来扩大解释社区的实践社区。 NSF IUSE：EHR计划支持研发项目，以提高所有学生STEM教育的有效性。通过参与的学生学习轨道，该计划支持了承诺实践和工具的创建，探索和实施。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估的评估来支持的。