"Knowledge Assessment, Theory, and Algorithms"

《知识评估、理论与算法》

• 批准号: 8919068
• 负责人: Jean-Claude Falmagne
• 金额: $ 8.07万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-09-01 至 1992-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8919068&HistoricalAwards=false
• 关键词: Knowledge; Assessment; Theory; Algorithms

This work will continue ongoing research concerning the construction of a theory and the related computer algorithms for the efficient assessment of knowledge. The key concept of the theory is that a knowledge structure, that is, a basic set of Q of questions or problems in a given domain of information, equipped with a distinguished family of subsets called the knowledge states. The interpretation of these concepts is that the knowledge state of a student is the set of all those problems in the basic set Q that the student is capable of solving. A probabilistic version of these concepts has been developed, permitting an analysis of the data with standard statistical techniques. The knowledge assessment routines were developed in the framework of Markov chains theory. The focus of this work will be the application of the theory in one particular case, namely, the Regents Competency Test in Mathematics of June, 1987. Other aspects of the research include investigation of a number of technical questions regarding the combination of distinct knowledge structures and practical adaptation and implementation of knowledge assessment procedures.

这项工作将继续正在进行的关于构建理论和相关计算机算法的研究，以有效地评估知识。该理论的关键概念是知识结构，即在给定的信息领域中Q个问题或问题的基本集合，配备了称为知识状态的杰出子集。对这些概念的解释是学生的知识状态是学生能够解决的基本集合Q中所有问题的集合。这些概念的概率版本已经开发出来，允许用标准统计技术对数据进行分析。在马尔可夫链理论框架下开发了知识评估程序。这项工作的重点将是理论在一个特定案例中的应用，即1987年6月的Regents数学能力测试。本研究的其他方面包括调查一些关于不同知识结构的组合和知识评估程序的实际适应和实施的技术问题。