Using ASSISTments for College Math: An Evaluation of the Effectiveness of Supports and Transferability of Findings
Using ASSISTments for College Math: An Evaluation of the Effectiveness of Supports and Transferability of Findings
批准号:
2216212
负责人:
Kelly Smalenberger
金额:
$3.01万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-04-01 至 2025-03-31
中文摘要
该项目旨在通过使用在线系统改善学生在数学和统计方面的学习,在解决家庭作业问题的同时向学生提供反馈,从而服务于国家利益。一个常见的教学挑战是,当学生在家庭作业中陷入数学问题时,如何最好地支持他们。当目标是支持生产性斗争,而不仅仅是提供正确的答案时,提供多少支持并不总是很清楚。现有的基于网络的免费平台允许教师和研究人员创作问题和解决步骤支持,并使教师和研究人员可以获得学生行动数据。以前关于利用这一平台支持学生学习和在中学课堂教学中使用形成性反馈的研究结果是有希望的。鉴于该平台在这些环境中作为一种有用的教学工具的潜力,本项目旨在调整该平台,使其适用于本科生,因为研究表明,在初级数学和统计课程中需要这种支助。了解在大学生完成数学问题时为他们提供的技术支持如何影响学生的学习和信心,将为广泛设计和实施教材提供重要的见解。该项目试图通过调整先前的研究,确定在大学水平上使用现有的在线平台对学生作业进行形成性评估是否会像在初中和高中水平上报告的那样,在数学学习方面产生类似的收益,并在教学实践中产生类似的变化。已经进行了100多项随机对照试验,以评估通过ASSISTments平台提供的支助的有效性,但这些试验主要发生在本科之前的教育水平。该项目旨在确定在大学一级使用该平台是否会在学习方面产生类似的收获,并在教学实践中产生类似的变化。这将通过在大学层面上复制研究来实现,这些研究在文献中被证明是目前为止最好的支持--那些对学生学习影响最大的支持。为了实现这一目标,该项目有四个主要目标。首先是支持可伸缩性,向平台添加一个功能,允许从学习管理系统画布上传问题和解决方案,从而创建一个至少包含500个与大学代数、微积分、微积分和统计课程相一致的问题的数据库。第二个目标是设计问题和反馈,以提高学生的理解,并帮助他们完成数学作业问题,通过创建16个课堂上准备好的大学代数常见主题作业。第三,在大学数学课程中使用该平台,并衡量其对学生学习的影响,以及在STEM专业的持久性,从而生成包含平台内学生行为的大量且丰富的数据集。第四个也是最后一个项目的目标是跟踪讲师在学期中的系统使用情况,即在布置问题时和在截止日期之后立即跟踪,以及从一个学期到另一个学期系统使用的持续性。项目成果将通过开放科学框架和该平台的网站传播。NSF IUSE:EDU计划支持研究和开发项目,以提高所有学生的STEM教育的有效性。通过其参与的学生学习跟踪,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优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project aims to serve the national interest by improving student learning in mathematics and statistics using an online system that provides feedback to students while solving homework problems. A common teaching challenge is how best to support students when they are stuck on a mathematics problem in a homework assignment. When the goal is to support productive struggle and not just provide the correct answer, it is not always clear how much support should be provided. An existing free web-based platform allows teachers and researchers to author questions and solution step supports, and it makes student action data available to instructors and researchers. Previous research results on the use of this platform to support student learning and the use of formative feedback in instruction in secondary school classrooms was promising. Given the potential of the platform as a useful pedagogical tool in those settings, this project aims to adapt the platform for use at the undergraduate level, where research indicates the need for such supports in introductory level mathematics and statistics courses. Understanding how the technological supports provided to college students as they complete mathematics problems impacts student learning and confidence will provide important insights for the design and implementation of educational materials broadly.By adapting prior studies, this project seeks to determine whether the use of an existing online platform for formative assessment of student work at the college level leads to similar gains in mathematics learning and analogous changes in pedagogical practices as has been reported at the middle school and high school levels. Over 100 randomized control trials have been conducted to evaluate the effectiveness of supports provided through the ASSISTments platform, but these have primarily occurred at levels of schooling prior to the undergraduate years. This project aims to determine whether the use of the platform at the college level leads to similar gains in learning and analogous changes in pedagogical practices. This will be accomplished by replicating studies at the college level which have been shown in the literature to be “Best So Far” supports – those supports which have significantly impacted student learning the most. To accomplish this, the project has four main aims. First is to support scalability by adding a feature to the platform which allows for the uploading of questions and solutions from the learning management system Canvas, thus creating a database of at least 500 problems aligned with college algebra, precalculus, calculus, and statistics curricula. A second aim is to design questions and feedback to improve student understanding and help them complete math homework problems, by creating 16 classroom-ready assignments on common topics in college algebra. Third is to use the platform in college mathematics courses and measure its impact on student learning, and persistence in STEM majors, thus generating large and rich datasets containing student actions within the platform. The fourth and final project aim is to track system usage by instructors during the semester, i.e., while problems are assigned and immediately after the due date, and also the persistence of system usage from semester-to-semester. Project results will be disseminated through the Open Science Framework and the platform’s website. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its 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.
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