From Hanging Out to Figuring It Out: Socializing Online as a Pathway to Computational Thinking
arXiv:2602.03017 · doi:10.1177/1461444820923674
Abstract
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.
References in corpus (1)
Cited by in corpus (3)
- How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices' Use of Data Structures
- Many Destinations, Many Pathways: A Quantitative Analysis of Legitimate Peripheral Participation in Scratch
- Characterizing the Online Learning Landscape: What and How People Learn Online