Generating Indonesian Question Automatically Based on Bloom’s Taxonomy Using Template Based Method
Corresponding Author(s) : Selvia Ferdiana Kusuma
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol 3, No 2, May-2018
Abstract
In education field, evaluation is needed to know the extent to which the learning process has been done. The evaluation process can be done through the provision of questions with varying degrees of difficulty. However, making questions with varying degrees of difficulty is not easy. Someone must understand the whole new materials to make the question. If there are a lot of materials, it takes a little time to change them to be a question. Therefore, it is necessary to automate the question generation process, in order to facilitate and accelerate the question generation process. This research introduces a template-based method to generate questions based on New Bloom's Taxonomy. There were 4 stages in this research, dataset collection, pattern identification process, question generating process & classification, and final evaluation process result. The dataset consists of 60 samples of paragraphs that derived from 9 courses of study courses Informatics Engineering. The 60 paragraphs produced 278 sentences and 654 questions. The proposed method is capable of producing an accuracy of 81.65% to generate questions using New Bloom's Taxonomy classification. So it can be concluded that the proposed method can be used to generate questions with varying difficulty levels in accordance with New Bloom's Taxonomy.
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- M. Liu, V. Rus, and L. Liu, “Automatic Chinese Factual Question Generation,” In IEEE, Pp. 1–12, 2016.
- S. F. Kusuma, D. Siahaan, and U. L. Yuhana, “Automatic Indonesia’s Questions Classification Based on Bloom’s Taxonomy Using Natural Language Processing a Preliminary Study,” In International Conference On Information Technology Systems And Innovation (ICITSI), Pp. 1–6, 2015.
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- H. Ali, Y. Chali, and S. Hasan, “Automation of Question Generation from Sentences,” In Proceedings Of The Third Workshop On Question Generation, Pp. 58–67, 2009.
- D. D.Ginanjar and K. K. Purnamasari, “Pembangkitan Pertanyaan Otomatis Untuk Teks Berbahasa Indonesia Yang Mengandung Kalimat Majemuk,” Elib-Unikom, Pp. 1–7, 2016.
- W. Suwarningsih And I. Supriana, “Pattern Discovery Using Qg For Question-Answering Pairs,” International Journal on Electrical Engineering and Informatics, Vol. 8, No. 2, Pp. 237–252, 2016.
- D. Swali, J. Palan, And I. Shah, “Automatic Question Generation From Paragraph,” International Journal of Advance Engineering and Research Development, Vol. 3, No. 12, Pp. 73–78, 2016.
- M. Blšták And V. Rozinajová, “Automatic Question Generation Based On Analysis Of Sentence Structure,” In Springer International Publishing Switzerland, Pp. 223–230, 2016.
- S. Basuki and S. Kusuma, “Automatic Question Generation For 5w-1h Open Domain Of Indonesian Questions By Using Syntactical Template-Based Features,” JATIT (Journal of Theoretical and Applied Information Technology), Vol. 96, No. 12, Pp. 3908–3923, 2018.
References
M. Liu, V. Rus, and L. Liu, “Automatic Chinese Factual Question Generation,” In IEEE, Pp. 1–12, 2016.
S. F. Kusuma, D. Siahaan, and U. L. Yuhana, “Automatic Indonesia’s Questions Classification Based on Bloom’s Taxonomy Using Natural Language Processing a Preliminary Study,” In International Conference On Information Technology Systems And Innovation (ICITSI), Pp. 1–6, 2015.
A. Yahya and A. Osama, “Automatic Classification Of Questions Into Bloom’s Cognitive Levels Using Support Vector Machines,” In IEEE, 2011.
Y. Xu, A. Goldie, and S. Seneff, “Automatic Question Generation and Answer Judging,” In Spoken Language System Group, Pp. 1–4, 2008.
H. Ali, Y. Chali, and S. Hasan, “Automation of Question Generation from Sentences,” In Proceedings Of The Third Workshop On Question Generation, Pp. 58–67, 2009.
D. D.Ginanjar and K. K. Purnamasari, “Pembangkitan Pertanyaan Otomatis Untuk Teks Berbahasa Indonesia Yang Mengandung Kalimat Majemuk,” Elib-Unikom, Pp. 1–7, 2016.
W. Suwarningsih And I. Supriana, “Pattern Discovery Using Qg For Question-Answering Pairs,” International Journal on Electrical Engineering and Informatics, Vol. 8, No. 2, Pp. 237–252, 2016.
D. Swali, J. Palan, And I. Shah, “Automatic Question Generation From Paragraph,” International Journal of Advance Engineering and Research Development, Vol. 3, No. 12, Pp. 73–78, 2016.
M. Blšták And V. Rozinajová, “Automatic Question Generation Based On Analysis Of Sentence Structure,” In Springer International Publishing Switzerland, Pp. 223–230, 2016.
S. Basuki and S. Kusuma, “Automatic Question Generation For 5w-1h Open Domain Of Indonesian Questions By Using Syntactical Template-Based Features,” JATIT (Journal of Theoretical and Applied Information Technology), Vol. 96, No. 12, Pp. 3908–3923, 2018.