Predictively Improving the Problem Solving of Science Students

预测性地提高理科学生解决问题的能力

• 批准号: 0528840
• 负责人: Ronald Stevens
• 金额: --
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0528840&HistoricalAwards=false
• 关键词: Predictively; Improving; Problem; Solving; Science

This complex project would continue work by Ron Stevens to create an experiment with Interactive Multi-Media Exercises (IMMEX) to improve student performance in Chemistry under certain conditions. The research would compare the effects of an intelligent tutoring (ITS) feedback system with a computer supported collaborative learning (CSCL) system. Secondly, the project would use an online collaborative problem-solving approach to create an improved model of student problem solving practices. The intent is to improve the learning rate of novices in chemistry. The students would be chosen from an existing field sample of thousands of high school and college students. The purpose of the study is to improve the IMMEX model. The study will involve creating an intervention and conducting a post-test quasi-experimental design. The studies will be conducted with over 10,000 students who will be randomly assigned to control and intervention groups. Supporting data for extending models will include gender, ethnicity, motivation measures, course identity, and standardized test scores.

Ron Stevens 将继续这个复杂的项目，创建一个交互式多媒体练习 (IMMEX) 实验，以提高学生在特定条件下的化学成绩。 该研究将比较智能辅导（ITS）反馈系统与计算机支持的协作学习（CSCL）系统的效果。 其次，该项目将使用在线协作解决问题的方法来创建学生解决问题实践的改进模型。 目的是提高化学新手的学习速度。 这些学生将从现有的数千名高中生和大学生的实地样本中选出。 研究的目的是改进IMMEX模型。 该研究将涉及创建干预措施并进行测试后准实验设计。该研究将对 10,000 多名学生进行，他们将被随机分配到对照组和干预组。扩展模型的支持数据将包括性别、种族、动机测量、课程身份和标准化考试成绩。