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’...
محفوظ في:
المؤلف الرئيسي: | Chai, Jing Hui |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2009
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/11449/6/ChaiJingHuiMFSKSM2009.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Case-based retrieval on question items generation
بواسطة: Subroto, Imam Much
منشور في: (2007) -
Similarity measure for retrieval of question items with multi-variable data sets
بواسطة: Che Hassan, Siti Hasrinafasya
منشور في: (2008) -
Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages
بواسطة: Alghamdi, Hanan Musafer H.
منشور في: (2016) -
Question classification based on Bloom's taxonomy cognitive domain modified TF-IDF and word2vec /
بواسطة: Al-Tamimi, Manal Mohammed, author -
Fusion features ensembling models using Siamese convolutional neural network for kinship verification
بواسطة: Mohammed Ali, Al Muashi
منشور في: (2021)