A rule-based approach in Bloom's Taxonomy question classification through natural language processing

Syahidah Sufi Haris, Nazlia Omar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

This paper describes a rule-based approach to analyze and classify written examination questions through natural language processing for computer programming subjects. In general, Bloom's Taxonomy or the Taxonomy of Educational Objectives (TEO) acts as a main guideline in assessing a student's cognitive level. However, academicians need to design the appropriate questions and categorize it to the cognitive level of TEO manually. Our aim is to provide lecturers with a tool that can ease their task to assess the student's cognitive levels from the written examination questions. This paper describes a natural language processing technique to analyze the cognitive levels of Bloom's taxonomy for each question through the development of rules. Preliminary results from the experiments show that it is a viable approach to help categorize the questions automatically according to Bloom's Taxonomy.

Original languageEnglish
Title of host publicationProceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012
Pages410-414
Number of pages5
Publication statusPublished - 2012
Event2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012 - Seoul
Duration: 3 Dec 20125 Dec 2012

Other

Other2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012
CitySeoul
Period3/12/125/12/12

Fingerprint

Taxonomies
Processing
Students
Computer programming
Experiments

Keywords

  • Bloom's Taxonomy
  • Natural Language Processing
  • Rule-based

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Haris, S. S., & Omar, N. (2012). A rule-based approach in Bloom's Taxonomy question classification through natural language processing. In Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012 (pp. 410-414). [6530368]

A rule-based approach in Bloom's Taxonomy question classification through natural language processing. / Haris, Syahidah Sufi; Omar, Nazlia.

Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012. 2012. p. 410-414 6530368.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Haris, SS & Omar, N 2012, A rule-based approach in Bloom's Taxonomy question classification through natural language processing. in Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012., 6530368, pp. 410-414, 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012, Seoul, 3/12/12.
Haris SS, Omar N. A rule-based approach in Bloom's Taxonomy question classification through natural language processing. In Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012. 2012. p. 410-414. 6530368
Haris, Syahidah Sufi ; Omar, Nazlia. / A rule-based approach in Bloom's Taxonomy question classification through natural language processing. Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012. 2012. pp. 410-414
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