TY - GEN
T1 - The development of an automatic question generation system on facebook using an artificial bee colony algorithm
AU - Chen, Hsin Chin
AU - Hsu, Chia Cheng
AU - Li, Hung Chang
AU - Huang, Chih Chin
AU - Huang, Yueh Min
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84874963274
UR - https://www.scopus.com/pages/publications/84874963274#tab=citedBy
U2 - 10.4028/www.scientific.net/AMM.311.141
DO - 10.4028/www.scientific.net/AMM.311.141
M3 - Conference contribution
AN - SCOPUS:84874963274
SN - 9783037856727
T3 - Applied Mechanics and Materials
SP - 141
EP - 146
BT - Information, Communication and Engineering
T2 - 2012 International Conference on Information, Communication and Engineering, ICICE 2012
Y2 - 15 December 2012 through 20 December 2012
ER -