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Integrating Data Science and Data Literacy into K-12 Mathematics Curriculum

 

 

Anumol C. A.

Assistant Professor, Department of Computer Science Carmel College (Autonomous), Mala

 

 

Abstract

The modern world is increasingly driven by data, making data literacy and data science competencies essential skills for informed citizenship and future career success. Traditional K-12 mathematics curricula, while foundational, often place a limited emphasis on authentic data investigation and the use of modern computational tools, primarily focusing on procedural processes. This research proposes an investigation into the effective integration of core data science practices and data literacy competencies into the existing K-12 mathematics curriculum. The study will explore various models for integration, from embedding data-rich, real-world projects into existing statistics and probability units to creating a coherent, spiralling framework across all grade levels. Key areas of focus include identifying essential mathematical and data literacy competencies, developing effective professional development for teachers, evaluating the impact on student critical thinking and problem-solving skills, and addressing ethical considerations related to data. The ultimate goal is to provide a comprehensive framework and evidence- based recommendations for curriculum reform that leverages data science to enhance the relevance, engagement, and equity of mathematics education.

Keywords

Data Science, Data Literacy, K-12 Education, Mathematics Curriculum, Curriculum Integration, Statistical Thinking, Computational Thinking, Professional Development, Equity in Education.

 

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