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

社会科学-其他（89）这一联合项目的目的是调整和扩大为本科统计课程开发的教材，用于LON CAPA系统，该系统正在NSF的信息技术研究计划的支持下开发。CAPA（Computer Assisted Personalized Approach）是20世纪90年代初发展起来的一种课程管理系统，目前已在一些大学使用。 LON（Learning Online Network）是一种新技术，旨在与CAPA合作，创建一个集成的在线学习和评估系统。LON CAPA包括一个学习内容创作和管理系统，允许灵活地使用新的和现有的内容，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。这一合作项目正在使这一新系统适应社会科学统计方法的教学。CAPA已用于此目的多年。 新的LON CAPA系统预计将更加灵活，更适合连接具有共同利益的部门，以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他们可以用来克服本科统计学学习障碍的资源联系起来。 我们正在将现有的统计问题库中的600多个问题从CAPA转换为LON CAPA格式。我们还制作了多媒体课堂材料，旨在帮助学生学习指定问题的基本概念，这些材料正在融入他们的家庭作业中。 在2003年秋季学期实施LON-CAPA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表现数据。这些数据将用于测试LON CAPA相对于CAPA的更大有效性。 一个广泛的学生成绩信息数据库已经存在的统计材料，从统计课程的社会科学，一直在使用CAPA。 在LON CAPA系统到位后，可以保持考试内容的等效性，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.