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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chir-Ho Chang Hung-Jwun Liu Jin-Ling Lin |
| Copyright Year | 2007 |
| Description | Author affiliation: Lung-Hwa Univ. of Sci. & Technol ., Taoyuan (Chir-Ho Chang) |
| Abstract | A primary factor in the design of an e-learning or e-testing system lies in the proper grading of a given set of vocabulary or phrases. This paper proposes an automatic system that can learn to do the fundamental word's difficulty grading once taught by a domain expert. As a comparison, two approaches are used to analyze the system: the former is a rule-based system which requires a complete knowledge base to support a good scoring system, and the latter is an instance-based grader. Analytic and simulation results showed that rule-based reasoning acts much like uses the concept of absolute accuracy. Instance-based inferring method uses relative accuracy to identify varied difficult levels in words. Since scoring a word's difficulty via absolute accuracy is not always applicable, the grading system accomplished the task by the instance-based approach. After checking for consistency by using the joint entrance examination center (JEEC) testing data in Taiwan, we summarize as follows: 1) The information system has the capability to answer the difficulty level of a word. 2) The system can persistently professionalize itself via the supervised learning approach. It can act more like a true domain experts when providing more training instances. |
| Starting Page | 3991 |
| Ending Page | 3996 |
| File Size | 358694 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424409723 |
| DOI | 10.1109/ICMLC.2007.4370844 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information systems Supervised learning Knowledge based systems System testing Educational institutions Humans Machine learning Cybernetics Management information systems Conference management Advances in learning algorithms and statistical learning Inductive learning Rule exaction Intelligent and knowledge based systems |
| Content Type | Text |
| Resource Type | Article |
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