Research of Combining Computerized Adaptive Test with Mathematic Teaching Take the 「Volume and Capacity」 Unit for Fifth Graders as an Example

• Main Authors: LIU,CHING-YUAN, 劉清源
• Other Authors: 郭伯臣教授
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/97334780835558735051

碩士 === 亞洲大學 === 資訊工程學系碩士在職專班 === 98 === Abstract This research is for making a digital mathematic teaching material and computerized adaptive test. First, take the fifth grade math as the example, basing on benchmarks 「5-n-18」、「5-n-19」and 「5-a-05」 of Grade 1-9 Curriculum then we can find out the skills and error patterns after the discussion with the adviser and classmates. Second, we also can create knowledge structure and Bayesian networks. Third, after doing this, we design a computerized adaptive test and digital mathematic teaching material.。Finally, we can teach by using this teaching material and use computerized adaptive test as a diagnoses tool to examine teaching and test result. The results are as the followings： 1. After teaching one unit,，the first average score of Experimental Group is 81.851, and the average score of Baseline Group is77.409. After the examination, we can see the difference, so it obviously works. 2. After remedial instruction, the second average score of Experimental Group is 87.424, and the average score of Baseline Group is 81.763. It is obviously different and we can prove that the remedial instruction of Experimental Group is better then that of Baseline Group. 3. After performing the delayed posttest when finishing the unit teaching, the delayed posttest average score of Experimental Group is 80.669. We can see the delayed effect of Experimental Group is much better. 4. Computerized Adaptive Test can not only save 64% questions，but also can get 92％ examination accuracy. 5. In the situation of appropriately and completely answering the questions, we can infer the consistency of wrong types and sub-skill of Computerized Adaptive Test based on Bayesian networks. The first test is 90.47％, the second test is 94.27％ and the delayed posttest is 95.36％. Keywords：Volume and Capacity、Computerized Adaptive Test、Knowledge Structure、Bayesian networks、Remedial Instruction