Collaborative Research: Promoting a Growth Mindset Using Automated Feedback
协作研究:利用自动反馈促进成长心态
基本信息
- 批准号:1625722
- 负责人:
- 金额:$ 15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The "Promoting a Growth Mindset Using Automated Feedback" project will develop and evaluate a new strategy for generating automated feedback on programming assignments that will provide a more welcoming experience for students, recognizing the effort they put in as they work on solutions. The goal of the project will be to promote the adoption of a "growth mindset" - a belief that one's abilities will improve with practice and hard work, which is associated with a range of improved educational outcomes. This strategy will encompass four key ideas: a measurement approach for assessing student effort; the use of non-points-based bonuses to reward effort and recognize hard work for positive reinforcement; heat maps of student code to highlight where bugs are located; and a strategy for clearly identifying the top priority for students to tackle in order to make progress. During the first year of the project, all three schools will collect baseline data using existing "conventional" feedback approaches. The new feedback intervention will be evaluated in years two and three of the project. Quantitative and qualitative data will be collected and analyzed to examine changes in performance and students' behavior. A mixed-method data collection plan will triangulate the quantitative and qualitative data with the review of literature and the researchers' direct experience in teaching these courses to reach conclusions regarding research questions of the study and provide the framework for the design of a scalable and replicable intervention to improve students' performance in the programming projects.
“使用自动反馈促进成长心态”项目将开发和评估一种新的战略,以生成关于编程作业的自动反馈,这将为学生提供更受欢迎的体验,承认他们在解决方案方面所付出的努力。该项目的目标将是促进人们采用“成长心态”--一种相信一个人的能力会通过练习和努力工作而提高的信念,这与一系列改善的教育结果有关。这一战略将包括四个关键思想:评估学生努力的衡量方法;使用非基于积分的奖金来奖励努力,并表彰积极强化的努力;学生代码的热图,以突出错误的位置;以及明确确定学生为了取得进步而需要解决的首要任务的战略。在该项目的第一年,所有三所学校都将使用现有的“常规”反馈方法收集基线数据。新的反馈干预措施将在项目的第二年和第三年进行评估。将收集和分析定量和定性数据,以检查表现和学生行为的变化。混合方法数据收集计划将结合文献回顾和研究人员教授这些课程的直接经验对定量和定性数据进行三角测量,以得出关于研究问题的结论,并为设计可扩展和可复制的干预措施提供框架,以提高学生在编程项目中的表现。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Manuel Perez-Quinones其他文献
Manuel Perez-Quinones的其他文献
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