원문정보
초록
영어
S-P Chart Analysis is an effective method to diagnose the learning status of students and items quality. This method is very suitable for use in adaptive learning systems. However, it only handles dichotomous data without considering the test data of partial credit scoring. The main purpose of this study is to develop a tool for analyzing the test data of partial credit scoring according to S-P Chart Analysis method. First, the study proposed the Partial Credit S-P Chart Analysis. Then, the study developed the software to analyze partial credit data according to the method proposed. PCSP 1.0 software developed by this study can help the user to reduce the complex mathematical calculations and provide results accurately and quickly. The interaction between users and the software is very easy through a graphical user interface. PCSP 1.0 software handles not only dichotomous data but also partial credit data. This software is an actually useful tool for evaluating and diagnosing the achievement of students.
목차
1. Introduction
2. S-P Chart Analysis
2.1. Dichotomous Response Matrix of S-P Chart
2.2. Student Curve and Problem Curve
2.3. The Disparity Coefficient of S-P Chart
2.4. Modified Caution Index of S-P Chart
3. The New Proposal for Partial Credit S-P Chart
4. Software Development
4.1. Process for Software Development
4.2. The Algorithms of the Program
4.3. Working with PCSP 1.0 Software
5. Application Example
6. Conclusion
References