Investigating the Relationship Data Literacy and Academic Achievement Motivation of Students

Subject Areas : Creativity and innovation from psychological, epistemological, educational and pedagogical

Morvarid Tasa ¹ , saleh rahimi ^{2 *} , Gholamreza Haidari ³

1 - MSc in Knowledge and Information Science, Razi University. Kermanshah. Iran
2 - Associate Professor, Department of Knowledge and Information Sciences, Razi University, Kermanshah, Iran.
3 - Associate Professor, Department of Knowledge and Information Science, Faculty of Social Sciences, Razi University, Kermanshah, Iran.

Received: 2024-08-10 Accepted : 2024-11-10 Published : 2025-02-24

Keywords: Use Data, Academic Achievement Motivation, Razi University Students, Data Literacy, Data Manage.,

Abstract :

Objective: This research was conducted with the aim of determining the relationship between data literacy and the motivation for academic achievement of Razi University students. Method: The current research is of applied type and was carried out with descriptive method of correlation type. The statistical population includes 11,080 students of Razi University in the academic year of 2011-2019, according to the table of Karjesi and Morgan, the number of 363 people was estimated as the sample size with stratified random sampling method. The data was collected using a data literacy and academic achieve. Findings: The findings show that there is a direct and significant relationship between data literacy and the total score of academic achievement motivation. Also, all data literacy components have a direct and meaningful relationship with the internal motivation component. The highest correlation is related to the data understanding component. Among individual characteristics, education level and age have a significant relationship with data literacy variable. Results: Data literacy helps students to have the ability to search, analyze and use data in the complex and dynamic world of information and ultimately make the best decisions. So the university officials should pay more attention to improving the data literacy level of students and the motivation of their academic progress. data literate people can improve information and use data more effectively to perform analysis and present results. This can help increase motivation and self-confidence in learning.

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