The Role of Data Literacy in Enhancing the Quality of Smart Learning among University Students

Authors

    Behrooz Ahmadi * Department of Curriculum Studies, Bu-Ali Sina University, Hamedan, Iran behrooz.ahmadi54@gmail.com

Keywords:

Data literacy, Smart learning, Learning analytics, Higher education, Data-driven skills

Abstract

This study aimed to examine the role of data literacy in improving the quality of smart learning among university students and to explain how data-driven analytical skills influence self-regulated learning, educational decision-making, and cognitive engagement in digital learning environments. This qualitative systematic review employed an inductive content analysis approach. Data were collected exclusively through literature review from scientific databases such as Scopus, Web of Science, ERIC, Springer, and Google Scholar. Twelve relevant articles were selected based on inclusion criteria. Data were analyzed using NVivo 14 software through open, axial, and selective coding until theoretical saturation was achieved. Peer debriefing and cross-validation were used to ensure data validity and reliability. The findings revealed that data literacy significantly enhances smart learning quality by improving conceptual understanding of data, analytical reasoning, and critical thinking skills. Students with higher data literacy were able to use data-driven feedback to regulate their learning strategies and make informed educational decisions. Data literacy also fostered intrinsic motivation, a sense of control over learning, and improved academic performance. Moreover, integrating data literacy with smart learning technologies such as artificial intelligence and machine learning provided an effective foundation for personalized and reflective learning. The results indicate that data literacy, as a multidimensional skill encompassing cognitive, ethical, and technical aspects, serves as a fundamental component for improving the quality of smart learning in higher education. Developing this competence within academic curricula can empower students to engage in data-informed decision-making, self-directed learning, and analytical thinking.

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References

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Published

2025-01-05

Submitted

2024-10-26

Revised

2024-12-09

Accepted

2024-12-16

Issue

Section

مقالات

How to Cite

Ahmadi, B. (2025). The Role of Data Literacy in Enhancing the Quality of Smart Learning among University Students. Intelligent Learning and Management Transformation, 2(4), 1-12. https://jilmt.com/index.php/jilmt/article/view/36

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