摘要
针对网络考试中积累的大量有用考试信息如何处理等问题,结合考试评价中相关性能指标,设计了基于数据挖掘的网络考试智能评价反馈IAFS系统.该系统能智能地将学生考试数据和教师阅卷过程积累信息加以系统地收集、分析并提供深层次的教学诊断,从而形成相关考试的评价反馈意见等,其对网络考试具有较好监控、评价和反馈作用,具有较强的适用性和推广价值.
According to the useful information accumulated from test data,combined with some performance indexes of test appraisal,an intelligent appraisal and feedback system(IAFS) for online tests based on data mining has been de-signed.The system can intelligently collect and analyze the test data and assessment information,offer thorough teaching estimates and construct systematic test appraisal and feedback suggestions.The system can better control,ap-praise and feed back the network tests,with strong applicability and great spread value.
出处
《南通大学学报(自然科学版)》
CAS
2009年第1期16-21,共6页
Journal of Nantong University(Natural Science Edition)
基金
江苏省现代教育技术研究"十一.五"规划课题(2007-R-4618)
南通大学高等教育研究课题(07GJ002)
南通大学公共课专项课题(08GJZX020)
南通大学现代教育技术研究课题
关键词
数据挖掘
网络考试
评价反馈
人工智能
data mining
network test
appraisal and feedback
artificial intelligence