The development of an automatic question generation system on facebook using an artificial bee colony algorithm

Hsin Chin Chen, Chia Cheng Hsu, Hung Chang Li, Chih Chin Huang, Yueh Min Huang

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

1 Citation (Scopus)


Facebook is currently one of the world's most popular social networking services, and has been widely used in the field of e-learning. In general, learners in e-learning environments need to evaluate their learning ability through taking tests to present the learning achievement. In order to evaluate their ability on e-learning platform with social network services, this study proposes an automatic question generation system for individual learning status. The proposed system uses the artificial bee colony algorithm to find suitable questions for each learner according to the learner's profile, reading experience, professional ability, and the e-learning records in the system. The experimental results indicate that the proposed method improves the accuracy of the automatic question generation system and that it outperforms the random method.

Original languageEnglish
Title of host publicationInformation, Communication and Engineering
Number of pages6
Publication statusPublished - 2013
Event2012 International Conference on Information, Communication and Engineering, ICICE 2012 - Fuzhou, Taiwan
Duration: 2012 Dec 152012 Dec 20

Publication series

NameApplied Mechanics and Materials
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482


Other2012 International Conference on Information, Communication and Engineering, ICICE 2012

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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