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Construction and Application of Mathematical Model Based on Intelligent Test Paper Generation Algorithm
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Jin |
| Copyright Year | 2017 |
| Abstract | Compared with the traditional examination forms, the computer aided test system can greatly improve the efficiency and quality of the examination by using the advantage of information. As the key part of the system, the intelligent test paper generation strategy has an important influence on the whole system performance. The traditional intelligent test paper generation strategy does not establish a suitable mathematical model. In addition, the commonly used algorithm of generating test paper, such as the random test paper generation algorithm and the backtracking algorithm, also have the defects of long running time and poor operation quality. In recent years, the resource of test bank is growing geometrically. It is of great significance in how to deal with the massive data effectively and at the same time to ensure the performance and quality of the test paper generation. According to the defects that the running time of intelligent test paper generation is long, unable to control the quality of test paper, and the test paper cannot find feasible solutions, the algorithm is further improved and optimized in three aspects of encoding scheme, gene modification and genetic operators and applied in the mathematical model put forward in the paper. A large number of simulation tests are carried out on the above intelligent test paper generation mathematical model and algorithm. The results showed that the running speed of the intelligent test paper generation strategy proposed in this paper is fast, the quality of test paper is controllable, and it avoids the phenomenon of unable to find feasible solutions. In conclusion, on the whole, the intelligent test paper generation model and algorithm proposed are feasible and effective. |
| File Format | PDF HTM / HTML |
| Volume Number | 32 |
| Alternate Webpage(s) | http://revistadelafacultaddeingenieria.com/index.php/ingenieria/article/download/1695/1654 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
