ID3决策树算法分析与高等学校综合教学评价 |
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引用本文: | 胡萍.ID3决策树算法分析与高等学校综合教学评价[J].铜陵财经专科学校学报,2012(4):105-106. |
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作者姓名: | 胡萍 |
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作者单位: | 合肥学院,安徽合肥230601 |
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基金项目: | 安徽省优秀青年人才基金项目《基于数据挖掘的教务决策支持系统研究与实践》(编号:2011SQRW107); 合肥学院科学研究项目(编号:10KY08ZR)研究成果 |
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摘 要: | 针对高等学校日常教学管理工作中所积累的大量课堂教学质量评估数据及教育决策对量化分析和研究结果的愈加依赖,应用数据挖掘中的决策树技术,从中找出隐藏的、有价值的知识,可为学校决策部门制定课堂教学管理、提高教学质量、促进教师教学水平和优化教师队伍建设等方面的决策提供科学的依据和参考。
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关 键 词: | 数据挖掘 教学管理 ID3算法 |
ID3 Decision tree Algorithm and Comprehensive Teaching Avaluation of Higher School |
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Authors: | Hu Ping |
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Institution: | Hu Ping(Hefei University,Hefei Anhui 230022,China) |
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Abstract: | Based on large amounts of information concerning classroom teaching quality collected in daily teaching and educational decision making more relied on quantitative analysis,a new approach is introduced in this paper so as to find potential and valuable teaching information,which will be a valuable foundation and reference for the decision-making department in a university with the purpose of upgrading teaching management and improving teaching quality. |
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Keywords: | data mining teaching and management ID3 algorithm |
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