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ExplainIt来服务国家利益，这是一个基于解释的创新课堂响应系统，通过使用自然语言处理来分析学生对STEM现象的解释，为本科STEM学生和教师提供实时支持。该项目将促进理解。如何通过向每个学生提供实时形成性反馈和向教师提供实时总结来改进本科 STEM 教育，以便他们能够快速调整教学内容以满足学生当前的需求。本科STEM教育。有助于更深入地了解学生如何通过基于解释的课堂反应系统进行学习，包括学习收益和学生参与度的提高，它还将产生一套有效的教学支持原则，以实现广泛适用的解释丰富的课堂互动。这些进步共同将为本科生 STEM 教育带来根本性的改善。该项目的三个目标是创建基于ExplainIt 的课堂响应系统。适应性地支持学生的学习和参与第三是开发在线资源，使教师能够轻松地将ExplainIt融入到他们的教学中。每年，生物学、计算机科学和物理学领域的教师都会参与ExplainIt软件的设计、开发和评估。通过在广泛的本科 STEM 课程中评估 ExpandIt 来改善学生学习的条件，ExplainIt 将针对入门课程、低年级课程和高年级课程对 6,000 多名学生进行评估。重点：评估ExplainIt对学生STEM学习（概念知识、问题解决）的影响，以及评估ExplainIt对提高学生参与STEM的影响（STEM自我效能、STEM兴趣） 项目团队将通过发展ExplainIt实践社区。 NSF IUSE：EHR 计划支持研究和开发项目，以提高全民 STEM 教育的有效性。通过参与学生学习轨道，该计划支持有前途的实践和工具的创建、探索和实施。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。 。