Data and Computing in K-12 Education: Foundational Competencies. Consensus Study Report
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| Title: | Data and Computing in K-12 Education: Foundational Competencies. Consensus Study Report |
|---|---|
| Language: | English |
| Authors: | Committee on Developing Competencies for the Future of Data and Computing: The Role of K-12, Contributor, Division of Behavioral and Social Sciences and Education, Contributor, Division on Engineering and Physical Sciences, Contributor, National Academies, National Academy of Sciences, National Academies, National Academy of Engineering, National Academies, National Academy of Medicine |
| Source: | National Academies Press. 2026. |
| Availability: | National Academies Press. 500 Fifth Street NW, Washington, DC 20001. Tel: 888-624-8373; Tel: 202-334-2000; Fax: 202-334-2793; e-mail: Customer_Service@nap.edu; Web site: http://www.nap.edu |
| Peer Reviewed: | Y |
| Page Count: | 339 |
| Publication Date: | 2026 |
| Sponsoring Agency: | National Science Foundation (NSF) |
| Contract Number: | 2330859 |
| Document Type: | Book Reports - Research |
| Education Level: | Elementary Secondary Education |
| Descriptors: | Data, Information Skills, Computation, Elementary Secondary Education, Competence, Skill Development, STEM Education, Academic Standards, Mathematics Education, Science Education, Information Literacy, Computer Science Education, Artificial Intelligence, Information Science, Problem Solving, Data Science, Algorithms, Automation, Probability, Statistical Inference, Models, Learning Experience, Learning Processes, Science Curriculum, Mathematics Curriculum, Pedagogical Content Knowledge |
| DOI: | 10.17226/29303 |
| ISBN: | 978-0-309-60162-7 |
| Abstract: | Skills in computing and data are critical for students to thrive in a data-driven world. As advanced digital technologies evolve, the capacity to understand how data are produced, interpreted, and used is increasingly essential for civic participation, workforce readiness, and scientific advancement. While efforts to expand learning in these areas have grown, opportunities to participate are unevenly distributed and lack coherence across grades and subjects. "Data and Computing In K-12 Education: Foundational Competencies" presents a coherent national framework for developing the foundational competencies students need in data and computing. This report identifies seven shared competencies that span disciplines and grade levels and examines how they align with existing STEM standards and classroom practice. It offers guidance for integrating data and computing into K-12 education in ways that strengthen core mathematics and science learning. Through addressing curriculum, teacher preparation, professional learning, technology access, assessment, and system-level coordination, the report calls for sustained, coordinated action to ensure that all students have meaningful opportunities to develop literacy in data and computing. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | ED681097 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED681097 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.17226/29303 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 339 Subjects: – SubjectFull: Data Type: general – SubjectFull: Information Skills Type: general – SubjectFull: Computation Type: general – SubjectFull: Elementary Secondary Education Type: general – SubjectFull: Competence Type: general – SubjectFull: Skill Development Type: general – SubjectFull: STEM Education Type: general – SubjectFull: Academic Standards Type: general – SubjectFull: Mathematics Education Type: general – SubjectFull: Science Education Type: general – SubjectFull: Information Literacy Type: general – SubjectFull: Computer Science Education Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Information Science Type: general – SubjectFull: Problem Solving Type: general – SubjectFull: Data Science Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Automation Type: general – SubjectFull: Probability Type: general – SubjectFull: Statistical Inference Type: general – SubjectFull: Models Type: general – SubjectFull: Learning Experience Type: general – SubjectFull: Learning Processes Type: general – SubjectFull: Science Curriculum Type: general – SubjectFull: Mathematics Curriculum Type: general – SubjectFull: Pedagogical Content Knowledge Type: general Titles: – TitleFull: Data and Computing in K-12 Education: Foundational Competencies. Consensus Study Report Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: National Academies, National Academy of Sciences – PersonEntity: Name: NameFull: National Academies, National Academy of Engineering – PersonEntity: Name: NameFull: National Academies, National Academy of Medicine – PersonEntity: Name: NameFull: Committee on Developing Competencies for the Future of Data and Computing: The Role of K-12, Contributor – PersonEntity: Name: NameFull: Division of Behavioral and Social Sciences and Education, Contributor – PersonEntity: Name: NameFull: Division on Engineering and Physical Sciences, Contributor – PersonEntity: Name: NameFull: Committee on Developing Competencies for the Future of Data and Computing: The Role of K-12, Contributor – PersonEntity: Name: NameFull: Division of Behavioral and Social Sciences and Education, Contributor – PersonEntity: Name: NameFull: Division on Engineering and Physical Sciences, Contributor – PersonEntity: Name: NameFull: National Academies, National Academy of Sciences – PersonEntity: Name: NameFull: National Academies, National Academy of Engineering – PersonEntity: Name: NameFull: National Academies, National Academy of Medicine IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: isbn-print Value: 978-0-309-60162-7 Titles: – TitleFull: Data and Computing in K-12 Education: Foundational Competencies. Consensus Study Report Type: main |
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