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Data Visualization for Teenage Teaching: A Review of Current Applications, Pedagogical Strategies, and Impact on Learning.

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Title: Data Visualization for Teenage Teaching: A Review of Current Applications, Pedagogical Strategies, and Impact on Learning.
Authors: Lan X, Xu X, Wang Y
Source: IEEE transactions on visualization and computer graphics [IEEE Trans Vis Comput Graph] 2026 Sep; Vol. 32 (9), pp. 8017-8032.
Publication Type: Journal Article; Review
Language: English
Journal Info: Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 9891704 Publication Model: Print Cited Medium: Internet ISSN: 1941-0506 (Electronic) Linking ISSN: 10772626 NLM ISO Abbreviation: IEEE Trans Vis Comput Graph Subsets: MEDLINE
Imprint Name(s): Original Publication: New York, NY : IEEE Computer Society, c1995-
MeSH Terms: Computer-Assisted Instruction*/methods , Computer Graphics* , Teaching* , Data Visualization* , Learning*, Humans ; Adolescent ; Curriculum ; Students
Abstract: Data visualization has long been recognized and applied as a powerful tool for education. However, systematic reviews within the visualization community focusing on this specific area remain limited, and existing studies have focused more on higher education or early childhood education. In this work, we focus on a particular stage of education: teenage education, where students are undergoing significant changes in cognitive abilities and facing increased curriculum demands, making visualization a crucial support tool. We are particularly interested in two research questions: (i) What is the existing method space of implementing visualization in teenage teaching, and (ii) How are the effects of the implemented methods? Driven by these questions, we reviewed 112 papers that provide valuable empirical evidence on how data visualization has been applied in teenage education and analyze three main aspects: (i) visualization applications (e.g., visualization types, forms, tools, educational goals); (ii) its pedagogical integration with curricula and teaching activities; and (iii) how it affects learning performance and user experience. Based on our analysis, we discuss a set of key trends, such as a predominant focus on STEM disciplines and the increasing integration of AR/VR and AI technologies with visualization. We also highlight various implementation challenges, such as the gaps between professional visualization tools and the actual needs of educational settings, as well as the complexity of student characteristics. Through this review, we hope to provide visualization researchers, developers, and educators with in-depth insights to better align the use of visualization with the developmental needs of teenage learners.
Entry Date(s): Date Created: 20260605 Date Completed: 20260731 Latest Revision: 20260803
Update Code: 20260803
DOI: 10.1109/TVCG.2026.3700620
PMID: 42247545
Database: MEDLINE
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  Data: Data Visualization for Teenage Teaching: A Review of Current Applications, Pedagogical Strategies, and Impact on Learning.
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  Data: Data visualization has long been recognized and applied as a powerful tool for education. However, systematic reviews within the visualization community focusing on this specific area remain limited, and existing studies have focused more on higher education or early childhood education. In this work, we focus on a particular stage of education: teenage education, where students are undergoing significant changes in cognitive abilities and facing increased curriculum demands, making visualization a crucial support tool. We are particularly interested in two research questions: (i) What is the existing method space of implementing visualization in teenage teaching, and (ii) How are the effects of the implemented methods? Driven by these questions, we reviewed 112 papers that provide valuable empirical evidence on how data visualization has been applied in teenage education and analyze three main aspects: (i) visualization applications (e.g., visualization types, forms, tools, educational goals); (ii) its pedagogical integration with curricula and teaching activities; and (iii) how it affects learning performance and user experience. Based on our analysis, we discuss a set of key trends, such as a predominant focus on STEM disciplines and the increasing integration of AR/VR and AI technologies with visualization. We also highlight various implementation challenges, such as the gaps between professional visualization tools and the actual needs of educational settings, as well as the complexity of student characteristics. Through this review, we hope to provide visualization researchers, developers, and educators with in-depth insights to better align the use of visualization with the developmental needs of teenage learners.
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        Value: 10.1109/TVCG.2026.3700620
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        Text: English
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    Subjects:
      – SubjectFull: Humans
        Type: general
      – SubjectFull: Adolescent
        Type: general
      – SubjectFull: Curriculum
        Type: general
      – SubjectFull: Students
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      – SubjectFull: Computer-Assisted Instruction methods
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      – SubjectFull: Computer Graphics
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      – SubjectFull: Teaching
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      – SubjectFull: Data Visualization
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      – SubjectFull: Learning
        Type: general
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      – TitleFull: Data Visualization for Teenage Teaching: A Review of Current Applications, Pedagogical Strategies, and Impact on Learning.
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              Text: 2026 Sep
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