Collaborative Research: An Interactive Undergraduate Data Mining Course with Industrial-Strength Projects

计算机科学（31）这个合作项目涉及到由领域专家密切指导的本科数据挖掘课程与现实世界的应用程序的整合。这个项目的目标是促进数据挖掘技能必不可少的解决问题，应用数据挖掘技术在现实世界中的应用，并建立车辆和方法，以增加学生在课程中的保留。目标是通过以下几种方式实现的：（1）设计一个预评估工具来测量学生的数据挖掘知识和在线教程;（2）调整课程材料，通过反思，批判和练习来提高解决问题的能力;（3）开发交互式和动画课件，以帮助本科生理解更难的概念和算法;以及（4）使用一个持续的评估过程，不仅解决学生的成绩，但注册保留。更广泛的影响包括建立和广泛传播的课程模型，有效地通过全国范围内的计算程序的数据挖掘课件。

Computer Science (31) This collaborative project involves the integration of the undergraduate data mining course with real-world applications closely directed by domain experts. The objectives of this project are to promote data mining skills essential to problem solving, to apply data mining techniques to real-world applications, and to establish vehicles and approaches to increase student retention in the course. The objectives are accomplished in several ways: (1) designing a pre-assessment instrument measuring student knowledge of data mining and on-line tutorials; (2) adapting course materials that will enhance problem solving skills through reflection, critique, and exercises; (3) developing interactive and animated courseware to help undergraduate students understand the harder concepts and algorithms; and (4) using a continuous evaluation process that addresses not only student achievement but enrollment retention. Broader impacts include the establishment and widespread dissemination of a curriculum model for effective adoption of data mining courseware by computing programs nationwide.