Assessing, Improving, and Guiding Users to NSDL Resources

这个项目是设计工具来挖掘和分析通过学生使用loncapa作业和学习管理系统产生的数据。这些工具正在提高系统响应个人用户（学生、教师和作者）需求的能力。在麻省理工学院的牛顿力学课程中，新的工具正在开发、实施和测试，并且完全开发的工具正在集成到LON-CAPA的生产版本中，所有用户都可以使用它们。这些工具安装在一个开源系统中，便于采用和改进。具体而言，该项目正在开发工具，用于收集和分析评估项目的难度、时间和甄别信息；分析用户数据，帮助改进评估项目；提供一个用户排名的资产窗口，根据过去的使用情况按效用顺序提供资源，并征求学生建议新的资源；并向作者和教师提供有关学生选择哪些常见问题和评论的信息，从而确定对学生学习最有用的项目。这个项目提供了可靠地监控个人和班级表现的潜力，有效地指导教学，并显著提高个人教学和评估项目的有效性。特别是，这些工具可以通过向个别学习者推荐最佳的逐项教学路径来实现定制辅导。

This project is designing tools for mining and analyzing data produced via student use of the LON-CAPA homework and learning management system. The tools are improving the ability of the system to respond to individual user (student, instructor, and author) needs. New tools are being developed, implemented, and tested in a Newtonian Mechanics course at MIT, and fully developed tools are being integrated into the production version of LON-CAPA, where they are available to all users. The tools are housed in an open-source system, allowing easy adoption and refinement.Specifically, the project is producing tools that gather and analyze information on difficulty, time, and discrimination of assessment items; analyze user data to help improve assessment items; provide a user-ranked asset window that provides resources in order of utility based on past use and solicits students to suggest new resources; and provide information to authors and instructors about which FAQs and comments students select, allowing identification of items that are most useful to student learning.This project is providing the potential to monitor individual and class performance reliably, to guide instruction effectively, and to dramatically enhance the effectiveness of individual instructional and assessment items. In particular, the tools may lead to customized tutoring by recommending optimal item-by-item instructional paths to individual learners.