Abstract—This documentary research purposed to design the
System Framework for an intelligent question bank and
examination system. It was divided into three periods: (1) the
synthesis for functions in the question bank system; (2) design
of the system framework for an intelligent question bank and
examination system; (3) to evaluate the appropriateness of the
system framework for an intelligent question bank and
examination system. A content analysis was applied to analyze
the data. The results found that:
1. The question bank system consisted of five modules: 1.
User Management, 2. Question Management, 3. Examination
Management, 4. Evaluation Management and 5. Scoring
Management.
2. The system framework of the question bank system
consisted of three parts: 1. Relevant persons for the question
bank system: teachers, students, and administrators; 2.
Framework of the question bank system consisted of five main
modules and 15 sub-modules: 1. User Management: 1.1 Login,
1.2 Edit Profiles, 1.3 Set Permission. 2. Question Management:
2.1 Item Management, 2.2 Setting Item, 2.3 Classification
Machine Learning. 3. Examination Management: 3.1 Setting
Examination, 3.2 Monitoring Examination, 3.3 Select Item
Machine Learning. 4. Evaluation Management: 4.1 Evaluation
Examination, 4.2 Suggestions, 4.3 Prediction Machine Learning.
5. Scoring Management: 5.1 View Scores, 5.2 View Item
Statistics, 5.3 Export Scores and 3.NUMBER? Cloud
Computing.
3. The evaluation of the appropriateness of the intelligent
question bank system and examination system was checked by
five experts regarding the question bank system and machine
learning. Statistics used in this research were the mean and
standard deviation. The results found that the rate of this
framework was in “the most appropriate” (overall mean was
4.70 and S.D. was 0.50.).
Index Terms—Artificial intelligence, framework, question
bank system, machine learning.
S. Janpla is with the Suan Sunandha Rajabhat University, Department of
Computer Science, Bangkok, Thailand (e-mail: satien@ssru.ac.th).
P. Wanapiron is with Division of Information and Communication
Technology for Education, King Mongkut’s University of Technology North
Bangkok KMUTNB Bangkok, Thailand (e-mail: panita.w@hotmail.com).
Cite: S. Janpla and P. Wanapiron, "System Framework for an Intelligent Question Bank and Examination System," International Journal of Machine Learning and Computing vol. 8, no. 5, pp. 488-494, 2018.