JOURNAL ARTICLE

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

  • Published In: International Scientific Journal of Engineering & Management, 2025, v. 4, n. 10. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: C. A., Anumol 3 of 3

Abstract

The article focuses on integrating data science and data literacy into the K-12 mathematics curriculum to better prepare students for a data-driven world. It proposes investigating models that embed core data science practices—such as data wrangling, visualization, and modeling—within existing mathematics instruction, emphasizing real-world, project-based learning to enhance student engagement, critical thinking, and equity. The study outlines a mixed-methods research approach involving curriculum development, implementation, and professional development evaluation for teachers, while also addressing challenges like teacher preparedness and ethical considerations related to data use. The goal is to develop an evidence-based framework and recommendations to modernize mathematics education, making it more relevant and inclusive for all students.

Additional Information

  • Source:International Scientific Journal of Engineering & Management. 2025/10, Vol. 4, Issue 10, p1
  • Document Type:Article
  • Subject Area:Mathematics
  • Publication Date:2025
  • ISSN:25836129
  • DOI:10.55041/ISJEM05114
  • Accession Number:189119181
  • Copyright Statement:Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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