Student Performance Measurement on Psychometric Parameters
| Autor: | Iti Burman, Syed Akhter Hossain, Mayank Sharma, Subhranil Som |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Psychometrics
05 social sciences Applied psychology 050301 education Construct validity 050109 social psychology Academic achievement Computer Science Applications Education ComputingMilieux_COMPUTERSANDEDUCATION 0501 psychology and cognitive sciences Performance measurement Big Five personality traits Psychology 0503 education |
| Zdroj: | International Journal of Information and Communication Technology Education. 16:68-85 |
| ISSN: | 1550-1337 1550-1876 |
| DOI: | 10.4018/ijicte.2020100105 |
| Popis: | Educational data mining provides various advantages to the education systems in many ways. It enhances the teaching process, the learning process, the scholastic performance of students, career selection, employability, and more. The differences in attitude of students' behavior lead to difference in their academic performance. The article covers the non-intellectual parameters of students to enhance their academic performance. The study tests the relationship between psychometric constructs of students and their academic correlate. The models for enhancing intellectual performance which involves various non-intellectual parameters are analyzed using structural equation modeling. It is observed that the values of the models were retrieved near to fit values. The results entail that the models will be beneficial for students in improving their academic performance by revising their psychological parameters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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