Evaluation of the WBT teaching materials for mathematics

被引:0
|
作者
Masamori, Rieko [1 ]
Nishimura, Fumihiro [1 ]
Hirokane, Michiyuki [1 ]
Maeda, Toru [1 ]
机构
[1] Kansai Univ, Grad Sch Informat, Takatsuki, Osaka 5691095, Japan
关键词
e-learning; WBT; data mining; rough sets; genetic algorithms (GA);
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, opportunities for e-learning are increasing. Its practical use in education as teaching materials is greatly anticipated. The decline of university students' fundamental level of scholarship of has posed a serious social problem. Scholastic attainment by students is demanded at universities through strategies of learning acquisition that are both prompt and efficient This study examined a teaching material evaluation technique for finding problems in teaching materials using data mining of study history data. Two or more students' learning patterns were derived from study history data using data mining by rough set and the GA techniques. Such patterns are useful for teaching material evaluation and revealing salient drawbacks of such materials.
引用
收藏
页码:432 / 437
页数:6
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