From Hanging Out to Figuring It Out: Socializing Online as a Pathway to Computational Thinking

Fuente: arXiv
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Hauptverfasser: Shorey, Samantha, Hill, Benjamin Mako, Woolley, Samuel C.
Format: Preprint
Veröffentlicht: 2026
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author Shorey, Samantha
Hill, Benjamin Mako
Woolley, Samuel C.
author_facet Shorey, Samantha
Hill, Benjamin Mako
Woolley, Samuel C.
contents Although socializing is a powerful driver of youth engagement online, platforms struggle to leverage engagement to promote learning. We seek to understand this dynamic using a multi-stage analysis of over 14,000 comments on Scratch, an online platform designed to support learning about programming. First, we inductively develop the concept of "participatory debugging" -- a practice through which users learn through collaborative technical troubleshooting. Second, we use a content analysis to establish how common the practice is on Scratch. Third, we conduct a qualitative analysis of user activity over time and identify three factors that serve as social antecedents of participatory debugging: (1) sustained community, (2) identifiable problems, and (3) what we call "topic porousness" to describe conversations that are able to span multiple topics. We integrate these findings in a theoretical framework that highlights a productive tension between the desire to promote learning and the interest-driven sub-communities that drive user engagement in many new media environments.
format Preprint
id arxiv_https___arxiv_org_abs_2602_03017
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle From Hanging Out to Figuring It Out: Socializing Online as a Pathway to Computational Thinking
Shorey, Samantha
Hill, Benjamin Mako
Woolley, Samuel C.
Computers and Society
Human-Computer Interaction
Although socializing is a powerful driver of youth engagement online, platforms struggle to leverage engagement to promote learning. We seek to understand this dynamic using a multi-stage analysis of over 14,000 comments on Scratch, an online platform designed to support learning about programming. First, we inductively develop the concept of "participatory debugging" -- a practice through which users learn through collaborative technical troubleshooting. Second, we use a content analysis to establish how common the practice is on Scratch. Third, we conduct a qualitative analysis of user activity over time and identify three factors that serve as social antecedents of participatory debugging: (1) sustained community, (2) identifiable problems, and (3) what we call "topic porousness" to describe conversations that are able to span multiple topics. We integrate these findings in a theoretical framework that highlights a productive tension between the desire to promote learning and the interest-driven sub-communities that drive user engagement in many new media environments.
title From Hanging Out to Figuring It Out: Socializing Online as a Pathway to Computational Thinking
topic Computers and Society
Human-Computer Interaction
url https://arxiv.org/abs/2602.03017