| 个性化学习中的机助自适应测试系统设计 |
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| 引用本文： | 张琳,朱春鹤,赵奕.个性化学习中的机助自适应测试系统设计[J].上海海事大学学报,2007,28(4):59-63. |
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| 作者姓名： | 张琳 朱春鹤 赵奕 |
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| 作者单位： | 上海海事大学,信息工程学院,上海,200135 |
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| 基金项目： | 上海市教委资助项目;上海海事大学校科研和教改项目 |
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| 摘 要： | 为实现"计算机原理"课程计算机辅助教学中的个性化学习和检验,提高学生的自学能力、创造精神和学习效率,在VB 6.0和Access 2003环境下,开发基于IRT模型"计算机原理"课程的自适应测试系统——CoCAT.整个系统分为3个模块:系统管理模块、试题管理模块和测试管理模块,它可根据学生特点自动选择合适的试题,并提供学生学习能力和学习效果等方面的分析报告,可以更真实地反映学习者的学习水平和特点,有利于学生自学习和自检验.与传统的考试方式相比,具有效率高、题目的选择和评分灵活等特点,测试结果能更精确地反映被试者的实际水平,更适合在网络教育尤其是个性化学习中应用.
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| 关 键 词： | 机助自适应考试 项目反应理论 极大似然估计 个性化学习 |
| 文章编号： | 1672-9498（2007）04-0059-05 |
| 收稿时间： | 2006-12-15 |
| 修稿时间： | 2007-09-20 |
Design on computerized adaptive testing system in personalized learning |
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| ZHANG Lin,ZHU Chunhe,ZHAO Yi.Design on computerized adaptive testing system in personalized learning[J].Journal of Shanghai Maritime University,2007,28(4):59-63. |
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| Authors: | ZHANG Lin ZHU Chunhe ZHAO Yi |
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| Abstract: | To achieve the self-study and self-testing in the computerized aided teaching of "Computer Organization" course,a "Computer Organization" Computerized Adaptive Testing(CAT) system-CoCAT,is developed based on the Item Response Theory(IRT) model.The system runs under VB 6.0 and(Access 2003),and is designed to improve learners' self-study ability,creative spirit and study efficiency.CoCAT is composed of 3 modules: system management,test question management and testing module.During the testing,it can automatically select test questions according to the testee's ability.After the testing,it can give a report about the testee's learning ability and study effect.So it can really reflect the learner's study level and characteristics,help to make self-study and self-testing.Compared with the traditional ways of exam,CAT has the characteristics such as high efficiency and flexible test question selection and marking.Its testing results can reflect the actual level of the learner.Therefore, it is suitable for E-learning,especially in the personalized learning system. |
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| Keywords: | computerized adaptive testing item response theory maximum likelihood estimate personalized learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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