Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 97 === With the growth of the computer and the Internet technology, the learning assessment via the computer and the Internet, called Computer-Based Testing (CBT) has become a trend. In the Architect Registration Examination (ARE) the CBT is applied in schematic design test item to assess students planning capability. In this paper we focus on schematic design test item of subject building planning in ARE. However, the design of test item for assessing high level knowledge is difficult for teachers. Since they usually need to concern complex situations to make sure the effectiveness of test, the creation of test item is usually time consuming and costly. Our goal is to construct a system to assist teachers in item generation by reusing desirable cases. However, the database of current design cases usually focuses on documentary collection for layout information and is ill-structure for design knowledge representation. Therefore, how to organize the design knowledge to represent multidiscipline and granularity property of building for reusing is an interesting and important issue. The expressive power, extensibility and manipulation of model are also our issue. To clearly represent the building properties for above issue, our ideal is to organize design attributes form experts' perspective by extending the layout with environmental context information. Accordingly, the Hierarchical Case-Based Reasoning (HCBR) approach is proposed to organize the knowledge granularities by hierarchical relations. Therefore, the Intelligent Query Generator (IQG) is proposed to support the verification of constraint rule during item design by iterative case retrieval process. If the designed constraint rules are too specific which means no case is retrieved, then the IQG will recommend the user release the constraint rules. With the IQG the teacher can easily generate the desirable test item. To evaluate the effectiveness and usability of proposed approach, the prototype system and ten test cases were implemented. The corresponding questionnaire analysis was applied and the result shows that the proposed approach has high satisfaction degree.
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