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数据挖掘在高校课堂教学质量评价体系中的应用 被引量:17

Application of Data Mining in the Quality Evaluation System for Classroom Teaching in University
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摘要 教学质量是学校发展的重要因素,建立一套系统的教学质量评价体系是高校内部进行教学质量自我监控、自我调节的一种有效机制。通过对高校课堂教学质量评价体系的研究,阐述了评价指标权值确定的过程,并通过基于关联规则的数据挖掘技术进一步验证了评价体系的可靠性,从而使评价结果成为教育管理者进行决策的重要依据。 The education quality is a eritieal factor to ensure the further development of universities. Setting up a series of evaluation system for education quality is an efficacious mechanism to supervise and adjust universities themselves. According to the research of the quality evaluation system for classroom teaehing in higher school, the dissertation mainly elaborates the constitution of evaluation index weight. Finally, it takes the study of the association rule to prove the dependability of the evaluation system, and the result of evaluation will be the important basis that availably helps the educator on the decision.
出处 《电脑开发与应用》 2007年第2期41-42,共2页 Computer Development & Applications
关键词 权值 优序比较法 数据挖掘 关联规则 weight, priority order comparison approach, data mining, association rule
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  • 1Agrawal, R., Imielinski, T. and Swami, A. ( 1993 ), Mining Association Rules Between Sets of Items in Large Database,Proc of ACM SIGMOD Intl Conf on Management of Data,207 ~ 216.
  • 2Brin S., Motwani, R. and Silverstein, C. ( 1997 ), Beyond Market Basket: Generalizing Association Rules to Correlations, 1997 Int. Conf. Management of Data ,265 ~ 276.
  • 3Benzecri ,J. P. ( 1992), Correspondence Analysis Handbook,Marcel Dekker, Inc., New York.
  • 4陈希孺、倪国熙编著,数理统计学教程.上海科学技术出版社,1988.
  • 5Cramor, H. (1946), Mathematical Methods for Statistics,Prineeton Univ. Press.
  • 6Everitt, B. S. ( 1977 ), The analysis Contingency Tables,Chapman and Hall, New York.
  • 7胡国定、张润楚著.多元数据分析方法--纯代数理论.南开大学出版社.1989.
  • 8Kendall, M. and Stuart, A. (1979), The Advanced Theory of Ststisties, Charles Griffin & Conpany Limiled , London, Vol.2. Ch. 33.
  • 9Pearson,K. On the Theory of Contingency and Its Relation to Association and Normal Correlation, Drapers' Co Memoirs,Biometrie Scries No. 1 London.
  • 10Silverstein, C., Brin, S., Motwani, R. and Ullman, J.(1998), Scalable Techniques for Mining Causal Structures,1998 Int. Conf. Very Large Data Bases,594~ 605.

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