Abstract—Examinations play a major role in the teaching and learning. Questions are used to obtain information and assess knowledge and competence of students. Academics who are involved in teaching process in higher education mostly use final examination papers to assess the retention capability and application skills of students. Question writing process is a very challenging step for academics. Questions that used to evaluate different cognitive levels of students may be categorized as higher order questions, intermediate order questions and lower order questions. This research work tries to derive a suitable methodology to categorize final examination question papers based on Bloom’s Taxonomy. The analysis was performed on computer science related papers. The study was conducted to check whether examination questions comply with the requirements of Bloom’s Taxonomy at various cognitive levels. Natural language processing techniques were used to identify the significant keywords and verbs which are useful in the determination of the suitable cognitive level. A rule based approach was used to determine the level of the question paper in the light of Bloom’s Taxonomy. The derived model introduced a quantitative approach to categorize undergraduate examination papers.
Index Terms—Bloom’s taxonomy, natural language processing, data mining.
Banage T. G. S. Kumara and A. Brahmana are with Faculty of Applied Sciences, Sabaragamuwa University of Sri Lanka, Sri Lanka (e-mail: btgsk2000@gmail.com, akilabrahmana@gmail.com). Incheon Paik is with School of Computer Science and Engineering University of Aizu, Aizu-Wakamatsu, Fukushima, Japan (e-mail: paikic@u-aizu.ac.jp).
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Cite: Banage T. G. S. Kumara, A. Brahmana, and Incheon Paik, "Bloom's Taxonomy and Rules Based Question Analysis Approach for Measuring the Quality of Examination Papers," International Journal of Knowledge Engineering vol. 5, no. 1, pp. 20-24, 2019.
