Feature reduction for neural network in determining the Bloom’s cognitive level of question items
The concept of Bloom’s taxonomy has broadly implemented as a guideline in designing a reasonable examination question paper that consist of question items belonging to various cognitive levels which are tolerate to the different capability of students. Currently, academician will identify the Bloom’...
Saved in:
主要作者: | Chai, Jing Hui |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2009
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/11449/6/ChaiJingHuiMFSKSM2009.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Case-based retrieval on question items generation
由: Subroto, Imam Much
出版: (2007) -
Similarity measure for retrieval of question items with multi-variable data sets
由: Che Hassan, Siti Hasrinafasya
出版: (2008) -
Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages
由: Alghamdi, Hanan Musafer H.
出版: (2016) -
Question classification based on Bloom's taxonomy cognitive domain modified TF-IDF and word2vec /
由: Al-Tamimi, Manal Mohammed, author -
Fusion features ensembling models using Siamese convolutional neural network for kinship verification
由: Mohammed Ali, Al Muashi
出版: (2021)