Developing an online diagnostic test system with multiple-choice items and constructed-response items in Mathematics--taking the "exponential laws and scientific notations" unit in grade seven as an example

碩士 === 國立臺中教育大學 === 教育測驗統計研究所 === 100 === The constructed-response items can collect the students' problem solving, including all actions while problem solving, so it is suitable to analyze the error types. In the " exponential laws and scientific notations " unit of math subject, stu...

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Bibliographic Details
Main Authors: Wu, Yiling, 吳宜玲
Other Authors: Shih, Shuchuan
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/07121718094196328138
Description
Summary:碩士 === 國立臺中教育大學 === 教育測驗統計研究所 === 100 === The constructed-response items can collect the students' problem solving, including all actions while problem solving, so it is suitable to analyze the error types. In the " exponential laws and scientific notations " unit of math subject, students have many misconceptions. If the questions are "multiple-choice types", students can solve by guessing, teachers can not know what error types the students have. This research is base on constructed-response items to build a " exponential laws and scientific notations " diagnostic test system. With practicing, record the problem solving processes to analyze the students' error types. The study result gives: a. The diagnostic test system of this research can record the problem solving processes, analyze the students' error types, and score automatically. b. The reliability of added constructed-response items is better than the multiple-choice types (0.890 < 0.894). Therefore, in the case of the same test length, if the questions can be added a part of constructed-response items, the reliability will be higher. c. We can obtain more students' answering responses from the constructed-response items than the multiple choice questions. d. The development- “automatic analyzing constructed-response items model” of this thesis can identify the error type attaining to 100% accuracy, and the performance is excellent. On the identification of sub-skills, and error types, rhe Bayesian network which is combined the multiple choice questions with the solving responses of the constructed-response items is better than the traditional one.