Community Science Data Talks: Engaging students in exploring local well-water quality.

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Title: Community Science Data Talks: Engaging students in exploring local well-water quality.
Authors: Mack, Katherine (AUTHOR) katherine.mack@uconn.edu, Campbell, Todd (AUTHOR) todd.campbell@uconn.edu, Herrick, Imogen (AUTHOR) iherrick@ku.edu, Lawson, Michael (AUTHOR) mlawson1@ksu.edu, Burrell, Shondricka (AUTHOR) shondricka.burrell@morgan.edu
Source: Science & Children. Jan/Feb2026, Vol. 63 Issue 1, p74-82. 9p.
Subject Terms: *Elementary education, *Data analysis, *Student engagement, *Next Generation Science Standards (Education), Water quality, Scientific method
Abstract: A Community Science Data Talk (CSDT) is a 15-minute discourse routine designed with the Next Generation Science Standards (NGSS) in mind. Through collaborative discussions and data analysis, CSDTs support students to connect classroom learning with local challenges. This article aims to inspire elementary teachers (K–5) to incorporate CSDTs into their classrooms by offering a flexible framework that can be adapted for use across the grade band and showcase how CSDTs foster students' epistemic agency while engaging them in science and engineering practices (e.g., analyzing and interpreting data, evaluating, and communicating information design solutions). Using a practical, adaptable framework tailored to community-specific needs, the article highlights a real-world example of CSDTs. Over the course of five CSDTs, students considered the issue of access to annual well water testing in their community. These 15-minute routines demonstrate how brief, structured data talks can spark curiosity and highlight the role of science in community transformation. [ABSTRACT FROM AUTHOR]
Copyright of Science & Children is the property of Taylor & Francis Ltd 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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  Data: Community Science Data Talks: Engaging students in exploring local well-water quality.
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  Data: <searchLink fieldCode="AR" term="%22Mack%2C+Katherine%22">Mack, Katherine</searchLink> (AUTHOR)<i> katherine.mack@uconn.edu</i><br /><searchLink fieldCode="AR" term="%22Campbell%2C+Todd%22">Campbell, Todd</searchLink> (AUTHOR)<i> todd.campbell@uconn.edu</i><br /><searchLink fieldCode="AR" term="%22Herrick%2C+Imogen%22">Herrick, Imogen</searchLink> (AUTHOR)<i> iherrick@ku.edu</i><br /><searchLink fieldCode="AR" term="%22Lawson%2C+Michael%22">Lawson, Michael</searchLink> (AUTHOR)<i> mlawson1@ksu.edu</i><br /><searchLink fieldCode="AR" term="%22Burrell%2C+Shondricka%22">Burrell, Shondricka</searchLink> (AUTHOR)<i> shondricka.burrell@morgan.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Science+%26+Children%22">Science & Children</searchLink>. Jan/Feb2026, Vol. 63 Issue 1, p74-82. 9p.
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  Data: *<searchLink fieldCode="DE" term="%22Elementary+education%22">Elementary education</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br />*<searchLink fieldCode="DE" term="%22Next+Generation+Science+Standards+%28Education%29%22">Next Generation Science Standards (Education)</searchLink><br /><searchLink fieldCode="DE" term="%22Water+quality%22">Water quality</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+method%22">Scientific method</searchLink>
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  Label: Abstract
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  Data: A Community Science Data Talk (CSDT) is a 15-minute discourse routine designed with the Next Generation Science Standards (NGSS) in mind. Through collaborative discussions and data analysis, CSDTs support students to connect classroom learning with local challenges. This article aims to inspire elementary teachers (K–5) to incorporate CSDTs into their classrooms by offering a flexible framework that can be adapted for use across the grade band and showcase how CSDTs foster students' epistemic agency while engaging them in science and engineering practices (e.g., analyzing and interpreting data, evaluating, and communicating information design solutions). Using a practical, adaptable framework tailored to community-specific needs, the article highlights a real-world example of CSDTs. Over the course of five CSDTs, students considered the issue of access to annual well water testing in their community. These 15-minute routines demonstrate how brief, structured data talks can spark curiosity and highlight the role of science in community transformation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Science & Children is the property of Taylor & Francis Ltd 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.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/00368148.2025.2585578
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      – Code: eng
        Text: English
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      – SubjectFull: Elementary education
        Type: general
      – SubjectFull: Data analysis
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      – SubjectFull: Student engagement
        Type: general
      – SubjectFull: Next Generation Science Standards (Education)
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      – SubjectFull: Water quality
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      – SubjectFull: Scientific method
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      – TitleFull: Community Science Data Talks: Engaging students in exploring local well-water quality.
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              Text: Jan/Feb2026
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