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Record W2148831321 · doi:10.1145/2675133.2675284

The Emergence of GitHub as a Collaborative Platform for Education

2015· article· en· W2148831321 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsComputer scienceWork (physics)SoftwareSocial softwareSoftware developmentKnowledge managementOpen source softwareWorld Wide WebData scienceEngineering

Abstract

fetched live from OpenAlex

The software development community has embraced GitHub as an essential platform for managing their software projects. GitHub has created efficiencies and helped improve the way software professionals work. It not only provides a traceable project repository, but it acts as a social meeting place for interested parties, supporting communities of practice. Recently, educators have seen the potential in GitHub's collaborative features for managing and improving---perhaps even transforming---the learning experience. In this study, we examine how GitHub is emerging as a collaborative platform for education. We aim to understand how environments such as GitHub---environments that provide social and collaborative features in conjunction with distributed version control---may improve (or possibly hinder) the educational experience for students and teachers. We conduct a qualitative study focusing on how GitHub is being used in education, and the motivations, benefits and challenges it brings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.871
Threshold uncertainty score0.113

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.306
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations131
Published2015
Admission routes1
Has abstractyes

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