TY - GEN
T1 - Indonesian Question Generation Based on Bloom's Taxonomy Using Text Analysis
AU - Kusuma, Selvia Ferdiana
AU - Alhamri, Rinanza Zulmy
AU - Siahaan, Daniel Oranova
AU - Fatichah, Chastine
AU - Naufal, Mohammad Farid
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Automation of question generation from a text has been one of the focus of research in recent years. In the education field, question generation can be used to assist in the generation of questions to be used as evaluations of learning outcomes. The process of generating questions with different difficulty levels manually is not easy. Firstly, someone must understand the whole matter and then she or he is able to make questions according to the material. Generation of questions in large quantities and various learning materials will certainly require lot of effort and time. Therefore, it is necessary to automate the process of generating the question. This research introduces question generation automation methods based on Bloom's Taxonomy using text analysis. The method proposed in this study yielded an accuracy of 81.35%.
AB - Automation of question generation from a text has been one of the focus of research in recent years. In the education field, question generation can be used to assist in the generation of questions to be used as evaluations of learning outcomes. The process of generating questions with different difficulty levels manually is not easy. Firstly, someone must understand the whole matter and then she or he is able to make questions according to the material. Generation of questions in large quantities and various learning materials will certainly require lot of effort and time. Therefore, it is necessary to automate the process of generating the question. This research introduces question generation automation methods based on Bloom's Taxonomy using text analysis. The method proposed in this study yielded an accuracy of 81.35%.
KW - Question Generation
KW - Taxonomy Bloom
KW - Text Analysis
UR - http://www.scopus.com/inward/record.url?scp=85066904782&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2018.8711015
DO - 10.1109/ISITIA.2018.8711015
M3 - Conference contribution
AN - SCOPUS:85066904782
T3 - Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
SP - 269
EP - 274
BT - Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
Y2 - 30 August 2018 through 31 August 2018
ER -