Predictively Improving the Problem Solving of Science Students

这个复杂的项目将继续罗恩·史蒂文斯的工作，创建一个使用交互式多媒体练习(IMMEX)的实验，以在特定条件下提高学生的化学表现。这项研究将比较智能辅导(ITS)反馈系统和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一个改进的学生问题解决实践模式。其目的是为了提高化学新手的学习速度。学生将从现有的数千名高中生和大学生的现场样本中挑选出来。研究的目的是对IMMEX模型进行改进。这项研究将包括创建干预措施和进行后测准实验设计。这项研究将对1万多名学生进行，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、激励措施、课程认同感和标准化测试分数。

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.