Collaborative Research: Adapting and Evaluating Online Materials for Undergraduate Statistics using LON-CAPA Technology

这个联合项目旨在调整和扩展为本科统计学课程开发的教材，使之与loncapa系统一起使用，该系统是在美国国家科学基金会信息技术研究计划的支持下开发的。CAPA（计算机辅助个性化方法）是20世纪90年代初发展起来的一种课程管理系统，目前在许多大学中使用。LON （Learning Online Network）是一项新技术，旨在与CAPA一起创建一个在线学习和评估的综合系统。LON CAPA由学习内容创作和管理系统（允许灵活使用新内容和现有内容）、课程管理系统、个性化作业和自动评分系统、数据收集和数据挖掘系统以及内容交付系统组成。这个合作项目正在使这个新系统适应社会科学统计方法的教学。CAPA已经为此目的使用了好几年。新的loncapa系统预计将更加灵活，更适合将有共同兴趣的部门联系起来，共享学习材料和评估结果。新系统允许对个别学生的学习问题给予更个性化的关注。它可以更有效地将学生与资源联系起来，他们可以利用这些资源克服本科统计学的学习障碍。我们正在将现有的600多个统计问题库从CAPA翻译成LON CAPA格式。我们还制作了多媒体课堂材料，旨在帮助学生学习所布置问题背后的概念，这些材料被编入他们的家庭作业中。在2003年秋季学期实施loncapa系统并完善我们的材料后，我们计划在2004年春季和秋季收集学生的成绩数据。这些数据将用于测试LON CAPA相对于CAPA的更大功效。已经存在一个广泛的学生成绩信息数据库，用于使用CAPA的社会科学统计课程的统计材料。在loncapa系统到位后，考试内容的等效性可以保持，从而可以直接测试学生是否从改编的材料中受益。

Social Sciences - Other (89)This joint project is designed to adapt and expand educational materials developed for undergraduate statistics courses for use with the LON CAPA system, which is being developed with support from the NSF's Information Technology Research program. CAPA (Computer Assisted Personalized Approach) is a type of course management system developed in the early 1990s and now used in a number of universities. LON (Learning Online Network) is a new technology designed to work with CAPA to create an integrated system for online learning and assessment. LON CAPA consists of a learning content authoring and management system allowing new and existing content to be used flexibly, a course management system, an individualized homework and automatic grading system, data collection and data mining system, and a content delivery system. This collaborative project is adapting this new system to the teaching of statistical methods in the social sciences. CAPA has been used for several years for this purpose. The new LON CAPA system is expected to be more flexible and better suited to connecting departments with common interests to share learning materials and assessment results. The new system allows more personalized attention to the learning problems of individual students. It can more effectively connect students to resources that they can use to overcome learning barriers in undergraduate statistics. We are translating the existing statistics problem library of over 600 problems from CAPA into LON CAPA format. We are also creating multimedia class material designed to help students learn the concepts underlying the assigned problems, and this material is being woven into their homework assignments. After implementing the LON-CAPA system in the fall semester of 2003 and refining our materials, we plan to collect student performance data during spring and fall of 2004. These data will be used to test the greater efficacy of LON CAPA relative to CAPA. An extensive database of student performance information already exists for the statistics material from courses in statistics for the social sciences that have been using CAPA. Equivalence in examination content can be maintained after the LON CAPA system is in place, making a direct test of whether students have benefited from the adapted materials possible.