CRCD/EI: An Undergraduate CS Specialization in Knowledge Management Systems

[0417528]阿加蒙，ShlomoIllinois理工学院“CRCD/EI：本科生CS专业知识管理系统”$269,999该项目涉及知识管理系统的专业选择，位于本科计算机科学课程中。在信息社会中，知识管理理论和技术日益受到重视。KM的核心领域是文本分析、数据挖掘和信息检索，要求学生和从业者了解算法、统计学、机器学习、人机交互的基础知识，熟悉现有的商业产品并具有使用这些产品的经验。该项目建立在该机构成功整合信息检索和数据挖掘新课程的基础上，这些课程是由美国国家科学基金会资助开发的，并纳入了他们的计算机科学课程。当前项目的成果包括：智能文本分析课程的一套材料（包括一学期课程的演示材料、学生笔记、作业和测试）；知识管理系统的课程材料（包括一学期课程的演示材料、学生笔记、项目想法以及促进学生项目管理的详细建议）；一份报告，描述参加这些课程的学生所获得的研究成果；一份报告，说明对这些课程和整个专业的三年评估的具体结果（包括是否应将这些课程纳入标准计算机科学课程的建议）；评估教学方法对不同类型学生的影响（例如：性别、年龄、经济状况等）。

0417528Argamon, ShlomoIllinois Institute of Technology"CRCD/EI: An Undergraduate CS Specialization in Knowledge Management Systems"$269,999This project involves a specialization option in Knowledge Management Systems, housed in an undergraduate Computer Science curriculum. Knowledge Management (KM) theory and techniques have taken on increasing importance in our information society. The core areas of KM are text analysis, data mining, and information retrieval, requiring students and practitioners to understand the fundamentals of algorithms, statistics, machine learning, human-user interaction, and be familiar with what commercial products exist and have some experience using those products. This project builds on this institution's successful integration of new courses in Information Retrieval and Data Mining, developed with NSF funding, into their CS curriculum. The outcomes of the current project include the following: a set of materials for the course Intelligent Text Analysis (including presentation materials for a semester long course, notes for students, assignments, and tests); course materials for Knowledge Management Systems (including presentation materials for a semester long course, notes for students, project ideas, and detailed recommendations for facilitating student project management); a report describing research results obtained by students who participated in these classes; a report describing specific results from the three-year evaluation of these courses and the specialization as a whole (including a recommendation as to whether or not these courses should be included in the standard CS curriculum); and, assessments of the impacts of teaching methods on different types of students (e.g.: gender, age, economic status, etc.).