Predictively Improving the Problem Solving of Science Students

这个复杂的项目将继续工作的罗恩史蒂文斯创建一个实验与互动多媒体练习（IMMEX），以提高学生的化学表现在一定条件下。 本研究将比较智能教学回馈系统与电脑支援合作学习系统之成效。 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中选出。 本研究的目的是改进IMMEX模型。 这项研究将涉及创建一个干预措施，并进行测试后的准实验设计。这些研究将对10，000多名学生进行，他们将被随机分配到控制组和干预组。扩展模型的支持数据将包括性别，种族，动机措施，课程身份和标准化考试成绩。

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.