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基于支持向量机的课堂教学质量评价 被引量:24

Classroom teaching quality assessment based on support vector machine
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摘要 对课堂教学质量及时、客观、准确的评价有助于及时发现教学过程中存在的问题,也是提出整改措施、实施教学管理的重要前提。传统的课堂教学质量评价方法存在着主观性大、计算繁琐以及时效性差等问题。文章在分析和研究了多种课堂教学质量评价方法的基础上,提出了基于支持向量机的课堂教学质量评价模型。理论和实验表明,该模型具有较好的评价效果,同其它方法相比,具有评价精度高、实现速度快及可操作性强等特点,适合对高校教师课堂教学质量的评价。 A timely,objective and accurate assessment of classroom teaching quality is helpful for detecting the relevant problems.It is also an important precondition for introducing improved measures and implementing teaching management.Traditional assessment methods of classroom teaching quality have such disadvantages as being subjective,complex computation and weak effectiveness.Based on the analysis of various kinds of related methods,this paper puts forward a model for classroom teaching quality assessment based on support vector machine.Theoretical and experimental results show that the model is effective in assessment,and compared with other methods,it is highly accurate,quick and easy to implement.The model is suitable for making classroom teaching quality assessment in higher education.
作者 刘伟 孙林
出处 《合肥工业大学学报(自然科学版)》 CAS CSCD 北大核心 2010年第7期968-971,共4页 Journal of Hefei University of Technology:Natural Science
基金 国家自然科学基金资助项目(70672096) 合肥工业大学科学研究发展基金资助项目(2010HGXJ0076) 合肥工业大学博士专项科研基金资助项目(2010HGBZ0302)
关键词 课堂教学质量 评价模型 支持向量机 quality of classroom teaching assessment model support vector machine(SVM)
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