Teaching a globally distributed project course using Scrum practices
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.
Bibliographic record
Abstract
This paper describes the goals, design and initial challenges encountered in teaching a globally distributed software development course in collaboration between the University of Victoria, Canada and Aalto University, Finland. The project-driven collaboration course involved 16 students in Canada and nine students in Finland, divided into three globally distributed Scrum teams working on the same project. The teams worked on extending Agilefant, an open-source backlog management system, in direct interaction with its product owner. The collaborative development is based on the Scrum methodology. We describe how the Scrum methodology was implemented, and adapted to work in a distributed environment, as well as the infrastructure used to support collaboration, e.g. local war-rooms, and multiple communication tools. We conclude the paper with describing initial challenges encountered, including cultural, semester, course and curriculum differences, as well as technical and time-zone issues.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it