Tquest: determining cognitive level of question using information extraction (ie)

Abd Aziz, Muhd Eizan Shafiq and Abdul Malek, Mohamad Affendi (2011) Tquest: determining cognitive level of question using information extraction (ie). COMPASS Compilation of Pahang Scholars’ Synergy: 10. pp. 105-115. ISSN 1985-9937

Abstract

Each question in examination question set consists of keywords from Bloom's taxonomy. This keyword determines the cognitive level of the question. Students must be evaluated according to six cognitive levels of Bloom's taxonomy. Preparing examination questions and determines the cognitive levels take huge amount of time. A computer application is required to ease this task as it becomes critical since Outcome-Based Education (OBE) enters the education world where it requires students to be evaluated in many aspects according to related fields. Raw questions are the main input of this computer application. Using an appropriate technique, this application will extract keywords from question and determine the cognitive level by itself Previously, these tasks are done manually by responsible committee and it takes time to complete all the questions. This computer application helps the committee until the final part of preparing question set which is preparing camera ready of question sets where it can be printed out as well.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Abd Aziz, Muhd Eizan Shafiq
UNSPECIFIED
Abdul Malek, Mohamad Affendi
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Higher Education > Institutions of higher education
L Education > LB Theory and practice of education > Educational tests and measurements
Divisions: Universiti Teknologi MARA, Pahang > Jengka Campus
Journal or Publication Title: COMPASS Compilation of Pahang Scholars’ Synergy
ISSN: 1985-9937
Volume: 0
Number: 0
Page Range: pp. 105-115
Keywords: Bloom, Cognitive, Information extraction, OBE, Application
Date: 2011
URI: https://ir.uitm.edu.my/id/eprint/122080
Edit Item
Edit Item

Download

[thumbnail of 122080.PDF] Text
122080.PDF

Download (2MB)

ID Number

122080

Indexing

Statistic

Statistic details