The Other Side of the Screen: Motivations to Watch and Engage in Software Development Live Streams
- URL: http://arxiv.org/abs/2511.02588v1
- Date: Tue, 04 Nov 2025 14:07:33 GMT
- Title: The Other Side of the Screen: Motivations to Watch and Engage in Software Development Live Streams
- Authors: Ella Kokinda, D. M. Boyer,
- Abstract summary: We investigate why developers watch software and game development live streams to understand the educational and social benefits they derive from this emerging form of informal learning.<n>This research finds that viewers are motivated by both educational and social factors, with community engagement and informal mentorship as key motivations.
- Score: 2.2989324947501015
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Background: With the popularity of live streaming platforms at an all-time high, and many people turning to alternative venues for educational needs, this full research paper explores the viewership habits of software and game development live streams through the lens of informal education opportunities. Purpose: We investigate why developers watch software and game development live streams to understand the educational and social benefits they derive from this emerging form of informal learning. Methods: We implement a mixed-methods study combining survey data from 39 viewers and nine semi-structured interviews to analyze motivations, perceptions, and outcomes of watching development live streams. Findings: This research finds that viewers are motivated by both educational and social factors, with community engagement and informal mentorship as key motivations. Additionally, we find that technical learning draws initial interest, but social connections and co-working aspects sustain long-term engagement. Implications: Live streaming serves as a valuable informal learning tool that combines self-directed technical education with community support, which suggests that developers can leverage these platforms for continuous learning and professional growth outside of or in addition to traditional educational structures.
Related papers
- Safeguarding Privacy: Privacy-Preserving Detection of Mind Wandering and Disengagement Using Federated Learning in Online Education [53.25191965774678]
We propose a framework exploiting cross-device federated learning to address different manifestations of behavioral and cognitive disengagement during remote learning.<n>We fit video-based cognitive disengagement detection models using facial expressions and gaze features.<n>Our results show great promise for privacy-preserving educational technologies promoting learner engagement.
arXiv Detail & Related papers (2026-02-10T15:40:01Z) - From Hanging Out to Figuring It Out: Socializing Online as a Pathway to Computational Thinking [1.904031773979279]
We use a multi-stage analysis of over 14,000 comments on Scratch, an online platform designed to support learning about programming.<n>We inductively develop the concept of "participatory debuggers"<n>We identify three factors that serve as social antecedents of participatory debuggers.
arXiv Detail & Related papers (2026-02-03T02:38:00Z) - Investigating Developers' Preferences for Learning and Issue Resolution Resources in the ChatGPT Era [1.3124513975412255]
The landscape of software developer learning resources has continuously evolved, with recent trends favoring engaging formats like video tutorials.
The emergence of Large Language Models (LLMs) like ChatGPT presents a new learning paradigm.
We conducted a survey targeting software developers and computer science students, gathering 341 responses, of which 268 were completed and analyzed.
arXiv Detail & Related papers (2024-10-10T22:57:29Z) - Tool Learning with Large Language Models: A Survey [60.733557487886635]
Tool learning with large language models (LLMs) has emerged as a promising paradigm for augmenting the capabilities of LLMs to tackle highly complex problems.
Despite growing attention and rapid advancements in this field, the existing literature remains fragmented and lacks systematic organization.
arXiv Detail & Related papers (2024-05-28T08:01:26Z) - Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs [1.6961276655027102]
Our work transforms programming videos into one-on-one tutoring experiences using the cognitive apprenticeship framework.
Tutorly, developed as a JupyterLab, allows learners to set personalized learning goals.
arXiv Detail & Related papers (2024-05-21T17:17:34Z) - Towards Generalist Robot Learning from Internet Video: A Survey [56.621902345314645]
This survey systematically examines the emerging field of learning from videos (LfV)<n>We first outline essential concepts, including detailing fundamental LfV challenges such as distribution shift and missing action labels in video data.<n>Next, we comprehensively review current methods for extracting knowledge from large-scale internet video, overcoming LfV challenges, and improving robot learning through video-informed training.
arXiv Detail & Related papers (2024-04-30T15:57:41Z) - Navigating the Landscape of Hint Generation Research: From the Past to the Future [34.47999708205151]
We present a review of prior research on hint generation, aiming to bridge the gap between research in education and cognitive science.<n>We propose a formal definition of the hint generation task, and discuss the roadmap of building an effective hint generation system.
arXiv Detail & Related papers (2024-04-06T20:42:46Z) - An Educational Tool for Learning about Social Media Tracking, Profiling,
and Recommendation [2.7049879606434013]
This paper introduces an educational tool for classroom use, based on explainable AI (XAI)
It is designed to demystify key social media mechanisms - tracking, profiling, and content recommendation - for novice learners.
arXiv Detail & Related papers (2024-02-02T13:34:44Z) - Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges [60.62904929065257]
Large language models (LLMs) offer possibility for resolving this issue by comprehending individual requests.
This paper reviews the recently emerged LLM research related to educational capabilities, including mathematics, writing, programming, reasoning, and knowledge-based question answering.
arXiv Detail & Related papers (2023-12-27T14:37:32Z) - Tool Learning with Foundation Models [158.8640687353623]
With the advent of foundation models, AI systems have the potential to be equally adept in tool use as humans.
Despite its immense potential, there is still a lack of a comprehensive understanding of key challenges, opportunities, and future endeavors in this field.
arXiv Detail & Related papers (2023-04-17T15:16:10Z) - Advancing Education Through Extended Reality and Internet of Everything
Enabled Metaverses: Applications, Challenges, and Open Issues [9.235045678267825]
The metaverse is an ideal model for education, training, and skill development tasks.
We provide a comprehensive review of the various educational use cases and explore how enabling technologies such as Extended reality (XR) and Internet of Everything (IoE) will play a major role in educational services in future metaverses.
arXiv Detail & Related papers (2022-06-27T11:03:56Z) - Self-Supervised Learning for Videos: A Survey [70.37277191524755]
Self-supervised learning has shown promise in both image and video domains.
In this survey, we provide a review of existing approaches on self-supervised learning focusing on the video domain.
arXiv Detail & Related papers (2022-06-18T00:26:52Z) - Comparative Study of Learning Outcomes for Online Learning Platforms [47.5164159412965]
Personalization and active learning are key aspects to successful learning.
We run a comparative head-to-head study of learning outcomes for two popular online learning platforms.
arXiv Detail & Related papers (2021-04-15T20:40:24Z) - The VIP Gallery for Video Processing Education [51.722183438644905]
This demonstration gallery is being used effectively in the graduate class Digital Video'' at the University of Texas at Austin.
It provides examples of DVP on real-world content, along with a user-friendly interface that organizes numerous key DVP topics.
To better understand the educational value of these tools, we conducted a pair of questionaire-based surveys.
arXiv Detail & Related papers (2020-12-29T06:40:41Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.