Mining Exam Question based on Bloom's Taxonomy

Siti Hasnah Tanalol, and Salmah Fattah, and Rina Suryani Sulong, (2008) Mining Exam Question based on Bloom's Taxonomy. In: Knowledge Management International Conference, 10-12 Jun 2008, Universit Utara Malaysia, Coll Arts & Sci, Langkawi, Malaysia.

Full text not available from this repository.

Abstract

This paper discusses the implementation of Bloom's Taxonomy concept as a guideline in designing reasonable examination question paper. A good and reasonable examination paper must consist of various difficulty levels to tolerate the different capabilities of students. Here, the difficulty level of each question deposited in the question paper is determined from the criteria of keyword/s found in the question. A knowledge-based approach and text mining technique will be used to identify and extract information and keywords from textual content in the exam paper. Besides, using the prototype system developed, an illustration of the overall analysis for level of difficulty of examination question paper will be obtained. The outcomes from the system can be used as a guideline by the academician (exam question designer) to design/revise the exam paper accordingly.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Computer Science, Information Systems, Computer Science, Software Engineering
Subjects: ?? HJ2005-2216 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 04 Sep 2018 00:58
Last Modified: 04 Sep 2018 00:58
URI: http://eprints.ums.edu.my/id/eprint/1258

Actions (login required)

View Item View Item

Browse Repository
Collection
   Articles
   Book
   Speeches
   Thesis
   UMS News
Search
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository