• Corpus ID: 54943848

Data Use by Middle and Secondary Students in the Digital Age: A Status Report and Future Prospects

@inproceedings{Lee2018DataUB,
  title={Data Use by Middle and Secondary Students in the Digital Age: A Status Report and Future Prospects},
  author={Victor R. Lee and Michelle Wilkerson},
  year={2018}
}
committee was convened by the Board on Science Education in Washington, DC with support from the Amgen Foundation and the Carnegie Corporation of New York. Opinions and statements included in the paper are solely those of the individual author, and are not necessarily adopted, endorsed, or verified as accurate by the Board on Science Education or the National Academy of Sciences, Engineering, and Medicine. Data Use by Middle and Secondary Students in the Digital Age: A Status Report and Future… 
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References

SHOWING 1-10 OF 180 REFERENCES

Junior high school students' construction of global views of data and data representations

The purpose of this paper is to describe and analyze the first steps of a pair of 7th grade students working through an especially designed curriculum on Exploratory Data Analysis (EDA) in a…

Science Education in Three-Part Harmony: Balancing Conceptual, Epistemic, and Social Learning Goals

Two major reform efforts in K-12 science education have taken place during the past 50 years. The first was the 1950-1970 curriculum reform efforts motivated by the launching of Sputnik and sponsored…

Teaching data science to secondary students: the mobilize introduction to data science curriculum

The Mobilize project has created and implemented a course for secondary students, Introduction to Data Science (IDS), that aims to develop computational and statistical thinking skills so that students can access and analyze data from a variety of traditional and non-traditional sources.

Working at the boundaries of mathematics education and statistics education communities of practice

Statistics education has begun to mature as a discipline distinct from mathematics education, creating new perspectives on the teaching and learning of statistics. This commentary emphasizes the…

The Longitudinal Development of Understanding of Average

The development of the understanding of average was explored through interviews with 94 students from Grades 3 to 9, follow-up interviews with 22 of these students after 3 years, and follow-up…

Becoming Racially Literate About Data and Data-Literate About Race: Data Visualizations in the Classroom as a Site of Racial-Ideological Micro-Contestations

ABSTRACT Data visualizations are now commonplace in the public media. The ability to interpret and create such visualizations, as a form of data literacy, is increasingly important for democratic…

Youth Perspectives on Critical Data Literacies

This paper explores the critical perspectives of youth who are programming with public data about their own learning and social interaction in the Scratch online community and identifies a series of themes in how these youth critique, question, and debate the implications of data analytics.

What Do Young Science Students Need to Learn about Variables

Have the Next Generation Science Standards fulfilled a goal of specifying the objectives of precollege science education in clear and exact enough terms to make them readily implementable? Using…

Framework for K-12 Science Education

The Framework was developed by eighteen individuals who are well-known in their fields as well as four design teams that represent the four domains of science (life science, physical science, earth…

Beyond transparency: How students make representations meaningful

This work proposes a new framework for understanding acts of interpretation that focuses on four major constructs: registrations, symbolic forms, interpretive genres, and interpretive maxims and demonstrates this framework's utility by applying it to excerpts of middle school students interpreting unfamiliar representations of light reflection.
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