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Teen-adult interactions during the co-design of data literacy activities for the public library: insights from a natural language processing analysis of linguistic patterns

Leanne Bowler (School of Information, Pratt Institute, New York, New York, USA)
Irene Lopatovska (School of Information, Pratt Institute, New York, New York, USA)
Mark S. Rosin (Department of Math and Science, Pratt Institute, New York, New York, USA)

Information and Learning Sciences

ISSN: 2398-5348

Article publication date: 7 December 2023

Issue publication date: 8 April 2024

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Abstract

Purpose

The purpose of this study is to explore teen-adult dialogic interactions during the co-design of data literacy activities in order to determine the nature of teen thinking, their emotions, level of engagement, and the power of relationships between teens and adults in the context of data literacy. This study conceives of co-design as a learning space for data literacy. It investigates the teen–adult dialogic interactions and what these interactions say about the nature of teen thinking, their emotions, level of engagement and the power relationships between teens and adults.

Design/methodology/approach

The study conceives of co-design as a learning space for teens. Linguistic Inquiry and Word Count (LIWC-22), a natural language processing (NLP) software tool, was used to examine the linguistic measures of Analytic Thinking, Clout, Authenticity, and Emotional Tone using transcriptions of recorded Data Labs with teens and adults. Linguistic Inquiry and Word Count (LIWC-22), a natural language processing (NLP) software tool, was used to examine the linguistic measures of Analytic Thinking, Clout, Authenticity and Emotional Tone using transcriptions of recorded Data Labs with teens and adults.

Findings

LIWC-22 scores on the linguistic measures Analytic Thinking, Clout, Authenticity and Emotional Tone indicate that teens had a high level of friendly engagement, a relatively low sense of power compared with the adult co-designers, medium levels of spontaneity and honesty and the prevalence of positive emotions during the co-design sessions.

Practical implications

This study provides a concrete example of how to apply NLP in the context of data literacy in the public library, mapping the LIWC-22 findings to STEM-focused informal learning. It adds to the understanding of assessment/measurement tools and methods for designing data literacy education, stimulating further research and discussion on the ways to empower youth to engage more actively in informal learning about data.

Originality/value

This study applies a novel approach for exploring teen engagement within a co-design project tasked with the creation of youth-oriented data literacy activities.

Keywords

Acknowledgements

The authors thank the teens and librarians who participated in this research. Their contributions are invaluable. Many thanks as well to Jiacheng Chen for his contribution to the project. This research was made possible with support from the National Science Foundation (Award #2005608).

Citation

Bowler, L., Lopatovska, I. and Rosin, M.S. (2024), "Teen-adult interactions during the co-design of data literacy activities for the public library: insights from a natural language processing analysis of linguistic patterns", Information and Learning Sciences, Vol. 125 No. 3/4, pp. 252-269. https://doi.org/10.1108/ILS-06-2023-0076

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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