skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


This content will become publicly available on June 1, 2026

Title: Youth Data Visualization Practices: Rhetoric, Art, and Design
In the recent K-12 educational literature, arts-based data visualization has been positioned as a compelling means of rendering data science and statistical learning accessible, motivating, and empowering for youth, as data users and producers. However, the only research to attend carefully to youth’s data-based, artistic storytelling practices has been limited in scope to specific storytelling mechanisms, like youth’s metaphor usage. Engaging in design-based research, we sought to understand the art and design decisions that youth make and the data-based arguments and stories that youth tell through their arts-based data visualizations. We drew upon embodied theory to acknowledge the holistic, synergistic, and situated nature of student learning and making. Corresponding with emerging accounts of youth arts-based data visualization practices, we saw regular evidence of art, storytelling, and personal subjectivities intertwining. Contributing to this literature, we found that these intersections surfaced in a number of domains, including youth’s pictorial symbolism, visual encoding strategies, and data decisions like manifold pictorial symbols arranged to support complex, multilayered, ambiguous narratives; qualitative data melding community and personal lived experience; and singular statements making persuasive appeals. This integration of art, story, agency, and embodiment often manifested in ways that seemed to jostle against traditional notions of and norms surrounding data science.  more » « less
Award ID(s):
2215004
PAR ID:
10621551
Author(s) / Creator(s):
;
Corporate Creator(s):
Editor(s):
MDPI
Publisher / Repository:
MDPI/Education Sciences
Date Published:
Journal Name:
Education Sciences
Edition / Version:
1
Volume:
15
Issue:
6
ISSN:
2227-7102
Page Range / eLocation ID:
781
Subject(s) / Keyword(s):
data science, art education, youth agency
Format(s):
Medium: X Size: 4 Other: pdf
Size(s):
4
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ; ; ; ; (, American Journal of Community Psychology)
    null (Ed.)
    High-quality afterschool programs (ASPs) are opportunities to diversify the ways that Latinx youth from economically underprivileged communities experience STEM learning. Utilizing qualitative methods, based on the experiences and perspectives of low-income Latinx middle school participants of a math enrichment ASP in Southern California, we identified four culturally responsive practices: (1) the promotion of an inclusive, safe, and respectful program climate, (2) engaging in personal conversations, (3) facilitating opportunities for mutual and math learning across diverse cultures and perspectives, and (4) the promotion of math and a range of social-emotional skills across contexts. These practices helped youth feel more connected to the program, their peers, and program staff (college mentors); provided a platform for youth voice and contribution to the processes of teaching and learning; facilitated opportunities for skill development and practice across the different contexts of youth’s lives; interrelated with Latinx cultural values; and helped to promote youth’s engagement and math learning. Importantly, youth’s relationships with their mentors was a significant aspect of their experiences and perceptions of these practices. We argue that culturally responsive practices are necessary to achieve high-quality programs and provide specific implications for how ASPs can implement them in the design and implementation of their programs. 
    more » « less
  2. ; ; ; ; ; (, Astronomical Society of the Pacific)
    Schultz, Greg; Barnes, Jonathan; Shore, Linda (Ed.)
    Growing Mathletes is an NSF-funded program that is developing a curricular model to successfully integrate growth mindset principles, baseball, and math and science concepts for youth in grades 3 to 8 in out of school learning settings. Using a Design-Based Implementation Research framework for implementing, testing, and revising a curriculum and professional learning model, we are working on best practices to support youth learning and confidence as well as facilitator training and support in both afterschool and summer programs. We present youth outcomes as evidence of successes in how the program has integrated growth mindset with other content as a way to support youth’s productive mindset in their own learning along with content gains. 
    more » « less
  3. ; ; (, ACM)
    Data storytelling is the skill to communicate data effectively and efficiently. Effective data storytelling goes beyond data visualization and focuses on explanation with clear rhetorical functions. It starts with a set of data insights collected from the data science workflow and involves iterative and interactive processes of filtering those insights into story slices, from which data stories can be created through ordering, organizing and narration. Data storytelling is an integral component of a well-rounded data science education, which complements foundational skills like quantitative reasoning and programming. Despite its significance, solid understanding of the theory and practice of developing data storytelling competency is lacking. Data storytelling is often perceived as a mythical process where quantitative information magically transforms into compelling narratives. Designing scalable coaching tools for data storytelling requires leveraging multidisciplinary expertise from learning science, computer science, data science, communication science, and human-centered design. In this workshop, we will share some initial findings and reflections from our interdisciplinary team searching for effective coaching methods and tools to support coaching data storytelling at scale. We will present results from literature reviews and expert interviews which will be packaged into a set of foundational tools such as mental model, cognitive processes and schema for story construction, assessment strategy, as well as preliminary ideas of tools to support data storytelling coaching. We hope to use this workshop to build a community of researchers and practitioners in coaching data storytelling in postsecondary formal and informal learning context. 
    more » « less
  4. ; ; (, Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024)
    Lindgren, R; Asino, T I; Kyza, E A; Looi, C K; Keifert, D T; Suárez, E (Ed.)
    This paper examines youth storytelling during co-design of an identity-expressive educational game for learning data science. Using interaction analysis of co-design interviews with middle school students, we explore how storytelling allows participants to (a) use existing game elements to position themselves and (b) express their interests and identities through imagined game futures. We argue that analyzing youth's interactive storytelling and identity enactments during co-design can inform the development of game narratives that represent diverse youth. Our findings contribute to the design of inclusive virtual worlds for STEM learning that celebrate youth identities and experiences. We discuss implications for engaging youth voices in the co-design process and creating educational games that resonate with diverse learners. 
    more » « less
  5. ; ; (, Educational Researcher)
    There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concerns. We demonstrate through two examples how our proposed humanistic stance highlights ways that efforts to make data personally relevant for youth also necessarily implicate cultural and sociopolitical dimensions that affect the design and learning opportunities in data-rich learning environments. We offer an interdisciplinary framework based on literature from multiple bodies of educational research to inform design, teaching and research for more effective, responsible, and inclusive student learning experiences with and about data. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email