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An Intelligent Framework for Automatic Question Set Generation
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Author(s): Joydip Dhar (Indian Institute of Information Technology and Management, India), Abhishek Vaid (Indian Institute of Information Technology and Management, India), Manyata Goyal (Indian Institute of Information Technology and Management, India)and Shilp Gupta (Indian Institute of Information Technology and Management, India)
Copyright: 2010
Pages: 10
Source title:
Strategic Pervasive Computing Applications: Emerging Trends
Source Author(s)/Editor(s): Varuna Godara (CEO of Sydney College of Management, Australia)
DOI: 10.4018/978-1-61520-753-4.ch011
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Abstract
Automated question selection is an emerging problem in the industry of Online Test Management. The Test Management Suites, offer administration of question sets, either precompiled by experts, or randomized over the database of questions. Presently available literature in this domain is sparse and primarily focuses on automated question classification problem. This paper proposes a novel technique for administering question sets in an intelligent and automated approach. Artificial Intelligence, in the form of Self Organizing Feature Maps is utilized for question selection process. Finally, results from experiments are compiled for an illustration of the whole technique. Optimal design parameters for further research are also proposed alongside plausible future direction in pervasive computing.
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