Reyhane Rahimi; jalil Younesi; Ali Moghadamzade; Mohammad Asgari
Abstract
Using different methods and techniques to achieve the best results and create synergies between them can be helpful in many issues. Educational data mining is one of the relatively new fields that can be used to solve educational problems, especially problems in the field of measurement. But before using ...
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Using different methods and techniques to achieve the best results and create synergies between them can be helpful in many issues. Educational data mining is one of the relatively new fields that can be used to solve educational problems, especially problems in the field of measurement. But before using these methods, it should be as familiar as possible and its problems, disadvantages and advantages should be examined. In this study, the aim is to investigate the technique of nonnegative matrix factorizations and how to determine the number of clusters before implementing the model. The research method is descriptive and the study population is all those present at the entrance exam for mathematics and technical sciences in 1398, of which 5,000 people were randomly selected by the country's assessment and education organization and provided to the researcher. The research tool is math questions and entrance exam geometry. The results of this analysis showed that there is a difference in estimating the number of clusters of math questions, but in the case of geometry questions, the results of all methods were the same. Due to the observed differences, it is suggested that in future research with the help of data simulation, this issue will be examined in more detail.
jalil Younesi; mehran mokarami
Abstract
The purpose of this study was to determine the basic skills of reading and comprehension and analyze the test questions, and finally, strengths and weaknesses of subjects through cognitive diagnostic assessment models were fitted with retrofit analysis. The data examined in this study included responses ...
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The purpose of this study was to determine the basic skills of reading and comprehension and analyze the test questions, and finally, strengths and weaknesses of subjects through cognitive diagnostic assessment models were fitted with retrofit analysis. The data examined in this study included responses from 3,000 participants in the graduate entrance examination for English language field, which were selected from among 16044 people randomly. At first, with the help of experts, a matrix Q, consisting of the relationship between 20 questions of reading test with 7 basic skills was formed and then, using the G-DINA model, last analysis was performed. Finally, using a posteriori expected method within the framework of the G-DINA model, probability of domination of every single person on each skill was calculated by CDM package skills in software R, and by determining the cut-off point 0.6 for dominance, investigated participants in each skill, divided into two dominant and non-dominant groups. The results showed that in each of the skills, most people have not reached to dominance, Although the situation in the SUM skill (Analyzing and evaluating the relative importance of the information contained in the text, by differentiating between the main idea and details) was better than other skills, and about half of those got dominant in the skill. The final result suggests that, in general, the participant's situation in the application of cognitive strategies to achieve the correct answer is unsatisfactory and these strategies must be included in the curriculum of reading skills and comprehension.
