STRATEGIES FOR DEVELOPING RESEARCH SKILLS IN DATA SCIENCE FOR FUTURE TEACHERS

Authors

  • Dilnavoz Komilovna Muminova

    Associate Professor, Department of Technological Education, Faculty of Exact and Natural Sciences, Bukhara State Pedagogical Institute
    Author

Keywords:

Data science, teacher education, research skills, educational technology, data-driven teaching, curriculum development, interdisciplinary collaboration, data literacy.

Abstract

The integration of data science research skills into teacher education is essential for preparing future educators to navigate the evolving landscape of data-driven teaching and learning. This paper explores strategies for developing research competencies in data science among aspiring teachers, emphasizing curriculum enhancement, hands-on learning, technological integration, and ethical considerations. Addressing institutional barriers and fostering interdisciplinary collaboration are key to equipping educators with the analytical skills needed for data-informed decision-making. By adopting a structured approach, teacher education programs can ensure that future educators are proficient in utilizing data science methodologies to improve student outcomes and contribute to educational research.

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Published

2025-03-20

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Section

Articles

How to Cite

STRATEGIES FOR DEVELOPING RESEARCH SKILLS IN DATA SCIENCE FOR FUTURE TEACHERS. (2025). Economic Horizons: Journal of Business, Economics, and Finance, 1(3), 19-26. http://ecomindspress.com/index.php/eh/article/view/21

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