Using computer adaptive testing (CAT) to improve STEM learning, test performance, and retention

使用计算机自适应测试 (CAT) 提高 STEM 学习、测试表现和记忆力

• 批准号: 1252389
• 负责人: Jose Mestre
• 金额: $ 49.99万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1252389&HistoricalAwards=false
• 关键词: Using; computer; adaptive; testing; CAT

The PI porposes to employ computer adaptive testing (CAT) to improve: STEM learning of Physics, test performance and student retention. The PI notes that this interdisciplinary, empirical proposal combines expertise in testing/measurement, cognition, and STEM education to diagnose students? problem solving and conceptual deficits prior to taking high-stakes course exams, and then to devise interventions aimed at remedying identified deficits in order to improve students? course performance and, ultimately, their retention in STEM disciplines. Working within the domain of physics at the undergraduate level, the research team will investigate the feasibility of using computer adaptive testing (CAT) techniques to devise a cognitively diagnostic computer adaptive testing (CD-CAT) tool that accurately predicts students? future performance on tests in difficult STEM introductory undergraduate courses prior to their administration. The potential findings will have relevance for other STEM disciplines, and if successful, for broadening participation.

该课程计划采用计算机自适应测验(CAT)来提高学生的物理学习能力、考试成绩和学生的记忆力。PI指出，这个跨学科的经验性建议结合了测试/测量、认知和STEM教育方面的专业知识来诊断学生？在参加高风险的课程考试之前解决问题和概念缺陷，然后设计旨在弥补已发现的缺陷的干预措施，以提高学生的水平？课程成绩，并最终将其保留在STEM学科中。在本科生的物理领域内，研究小组将调查使用计算机自适应测试(CAT)技术的可行性，以设计一种认知诊断计算机自适应测试(CD-CAT)工具，准确预测学生？在管理之前，在难度较大的STEM入门本科课程中的未来考试表现。这些潜在的发现将与其他STEM学科相关，如果成功，将有助于扩大参与。