STRATEGIES FOR DEVELOPING RESEARCH SKILLS IN DATA SCIENCE FOR FUTURE TEACHERS
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.
