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.) | |
| Database: | Education Research Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 191375430 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Community Science Data Talks: Engaging students in exploring local well-water quality. – Name: Author Label: Authors Group: Au 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> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Science+%26+Children%22">Science & Children</searchLink>. Jan/Feb2026, Vol. 63 Issue 1, p74-82. 9p. – Name: Subject Label: Subject Terms Group: Su 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> – Name: Abstract Label: Abstract Group: Ab 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191375430 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00368148.2025.2585578 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 74 Subjects: – SubjectFull: Elementary education Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Student engagement Type: general – SubjectFull: Next Generation Science Standards (Education) Type: general – SubjectFull: Water quality Type: general – SubjectFull: Scientific method Type: general Titles: – TitleFull: Community Science Data Talks: Engaging students in exploring local well-water quality. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mack, Katherine – PersonEntity: Name: NameFull: Campbell, Todd – PersonEntity: Name: NameFull: Herrick, Imogen – PersonEntity: Name: NameFull: Lawson, Michael – PersonEntity: Name: NameFull: Burrell, Shondricka IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan/Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00368148 Numbering: – Type: volume Value: 63 – Type: issue Value: 1 Titles: – TitleFull: Science & Children Type: main |
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