The Development of an Automatic Question Generation System on Facebook Using an Artificial Bee Colony Algorithm

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volume 311)
• Pages: 141-146
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.311.141
• Online since: February 2013
• Authors: Hsin Chin Chen, Chia Cheng Hsu, Hung Chang Li, Chih Chin Huang, Yueh Min Huang
• Keywords: Artificial Bee Colony Algorithm (ABC), Computerized Adaptive Test, E-Learning, Social Networking Service

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