|
|
|
(3.144.38.92)
|
|
Users online: 4276
|
|
|
|
|
|
|
Ijournet
|
|
|
|
|
|
|
Application of Text Mining Techniques for Evaluating Examination Question Paper Paul Dimple V.1,* 1Assistant Professor, Department of Computer Science, Dnyanprassarak Mandal's College and Research Centre, Assagao, Bardez, Mapusa-403507, Goa, India *Email id: dimplevp@rediffmail.com
Abstract Academic institutions regularly record huge amount of data relating to various university-based examinations for different courses. We address the problem of evaluating the question papers by analyzing each question of a question paper on different criteria. University-specified syllabus file for each subject in a particular semester along with the Bloom's Taxonomy concept is used as a guideline in evaluating the difficulty level of the examination question paper in that subject. Text mining techniques are used to extract keywords from textual contents in the syllabus file and question paper. A tool named Mining Exam Question Paper Based on Syllabusis implemented. This tool can be used by concerned authorities to evaluate the examination question papers of theoretical papers. Top Keywords Bloom's taxonomy, Educational data, Text mining, Stemming, Information extraction. Top | | | |
|
|
|
|
║ Site map
║
Privacy Policy ║ Copyright ║ Terms & Conditions ║
|
|
|
809,501,142 visitor(s) since 30th May, 2005.
|
|
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
|
|
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.
|