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Record W2057222830 · doi:10.1145/1099203.1099229

Collaboration support for novice team programming

2005· article· en· W2057222830 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
TopicTeaching and Learning Programming
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsComputer scienceUsabilityPair programmingSoftware engineeringCode (set theory)Human–computer interactionExtreme programmingCollaborative softwareVisual programming languageDevelopment environmentMultimediaKnowledge managementProgramming languageSoftware developmentSoftwareSoftware development process

Abstract

fetched live from OpenAlex

Learning computer programming in a modern university course is rarely an individual activity; however, IDEs used in introductory programming classes do not support collaboration at a level appropriate for novices. The goal of our research is to make it easier for first-year students to experience working in a team in their programming assignments. Based on our previous work developing and evaluating IDEs for novice programmers, we have identified two main areas of required functionality: 1) features for code sharing and coordination; and 2) features to support communication. We have extended an existing teaching-oriented integrated development environment (called Gild) with features to support code sharing and coordination. We report on a preliminary study in which pairs of students used a prototype of our collaborative IDE to work on a programming assignment. The goals of this study were to evaluate the effectiveness and usability of the new features and to determine requirements for future communication support.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.977
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.290
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

Citations25
Published2005
Admission routes1
Has abstractyes

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