View in EDS

Incorporating Data Literacy Best Practices in an Earth Science Classroom.

Saved in:
Bibliographic Details
Title: Incorporating Data Literacy Best Practices in an Earth Science Classroom.
Authors: Lovett, Myra (AUTHOR) mlovett@ulm.edu, Stanley, Shalanda (AUTHOR)
Source: Science Teacher. Mar/Apr2026, Vol. 93 Issue 2, p41-47. 7p.
Subject Terms: *Earth science education, *Project method in teaching, *Analytical skills, *Next Generation Science Standards (Education), *High school curriculum, *Lesson planning, Statistics
Abstract: Data science has experienced exponential growth in the job market, resulting in an increased need for incorporating data science into the curriculum. Using project-based learning, we explored the implementation of data literacy within a high school Earth Science classroom. Following the Next Generation Science Standards (HS-ESS1) for the Earth's place in the universe, we developed a cycle of instruction incorporating data science best practices to increase data literacy skills in high school students. The phenomenon explored in this series of lessons is the length of daylight hours in different locations and in one location on different dates of the year and how this variance impacts animal and plant life. This proposed cycle of instruction aligns to the 5E Model for science lessons: Engage, Explore, Explain, Elaborate, Evaluate. The benefits of using project-based learning within the 5E Model include ample application of the content using higher-order thinking skills needed when increasing data literacy. [ABSTRACT FROM AUTHOR]
Copyright of Science Teacher 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
FullText Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 193490430
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Incorporating Data Literacy Best Practices in an Earth Science Classroom.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lovett%2C+Myra%22">Lovett, Myra</searchLink> (AUTHOR)<i> mlovett@ulm.edu</i><br /><searchLink fieldCode="AR" term="%22Stanley%2C+Shalanda%22">Stanley, Shalanda</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Science+Teacher%22">Science Teacher</searchLink>. Mar/Apr2026, Vol. 93 Issue 2, p41-47. 7p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Earth+science+education%22">Earth science education</searchLink><br />*<searchLink fieldCode="DE" term="%22Project+method+in+teaching%22">Project method in teaching</searchLink><br />*<searchLink fieldCode="DE" term="%22Analytical+skills%22">Analytical skills</searchLink><br />*<searchLink fieldCode="DE" term="%22Next+Generation+Science+Standards+%28Education%29%22">Next Generation Science Standards (Education)</searchLink><br />*<searchLink fieldCode="DE" term="%22High+school+curriculum%22">High school curriculum</searchLink><br />*<searchLink fieldCode="DE" term="%22Lesson+planning%22">Lesson planning</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Data science has experienced exponential growth in the job market, resulting in an increased need for incorporating data science into the curriculum. Using project-based learning, we explored the implementation of data literacy within a high school Earth Science classroom. Following the Next Generation Science Standards (HS-ESS1) for the Earth's place in the universe, we developed a cycle of instruction incorporating data science best practices to increase data literacy skills in high school students. The phenomenon explored in this series of lessons is the length of daylight hours in different locations and in one location on different dates of the year and how this variance impacts animal and plant life. This proposed cycle of instruction aligns to the 5E Model for science lessons: Engage, Explore, Explain, Elaborate, Evaluate. The benefits of using project-based learning within the 5E Model include ample application of the content using higher-order thinking skills needed when increasing data literacy. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Science Teacher 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=193490430
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00368555.2026.2626043
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 41
    Subjects:
      – SubjectFull: Earth science education
        Type: general
      – SubjectFull: Project method in teaching
        Type: general
      – SubjectFull: Analytical skills
        Type: general
      – SubjectFull: Next Generation Science Standards (Education)
        Type: general
      – SubjectFull: High school curriculum
        Type: general
      – SubjectFull: Lesson planning
        Type: general
      – SubjectFull: Statistics
        Type: general
    Titles:
      – TitleFull: Incorporating Data Literacy Best Practices in an Earth Science Classroom.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lovett, Myra
      – PersonEntity:
          Name:
            NameFull: Stanley, Shalanda
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar/Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 00368555
          Numbering:
            – Type: volume
              Value: 93
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Science Teacher
              Type: main
ResultId 1