英文摘要 |
With the rapid development of the Internet, computer-based or online testing has become an important issue in information education. Currently, most on-line tests only have selection-type items (single or multiple choice). Though some tests provide short-answer (completion-type) items, they can only recognize answers as being either "all correct" or "all wrong" given the computer's simple binary-pattern matching system. Thus, in order to achieve the same precision of evaluation as in traditional paper-and-pencil testing, the first stage of this research project has adopted the concepts of fuzzy theory, the thesaurus, the set, and artificial intelligence to develop a "fuzzy scoring" mechanism. The proposed on-line testing system has true-false, multiple choice, and completion-type items. The latter will be graded by means of the naturally"fuzzy judgment" of human teachers.The main purpose of this research is to evaluate the degree of equivalence of paper-and-pencil testing and on-line testing based on the fuzzy-scoring mechanism. The results demonstrate that different scoring mechanisms have a significant effect on test scores. At the beginning, though our fuzzy on-line testing system is significantly better than the usual on-line testing system, it could not achieve the same effects as paper-and-pencil testing. After we expanded our semantic vocabulary based on feedback, however, our fuzzy scoring mechanism is now equivalent, in terms of effects on scoring, to traditional paper-and-pencil testing. |