Prediction and assessment of student learning outcomes in structural mechanics A decision support of integrating data mining and fuzzy logic

摘要：

This paper focuses on the issue of continuous improvement on educational outcomes and takes the engineering mechanics course as an example to help students overcome their learning difficulties.A decision support system based on data mining and fuzzy logic is proposed to predict the student learning outcomes.The methodologies involves four steps:fuzzy theory to identify the factors on learning outcomes;data mining to construct influence diagram;machine learning to establish the fuzzy inference relations;and the model to predict the exam scores at the beginning of course and thereby to help students enhance their scores according to their weakness.

关键词： learning outcome data mining fuzzy logic Bayesian networks

作者: Kevin Fong-Rey Liu Jia-Shen Chen

作者单位: Department of Safety,Health and Environmental Engineering,Ming Chi University of Technology Taipei 24301,Taiwan,ROC

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 499-503

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）