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Record W2910225905 · doi:10.24908/pceea.v0i0.13049

Adapting waterfall design to an eight-month capstone course

2018· article· en· W2910225905 on OpenAlexaffvenue
Franz Newland, Hossam Sadek, James Smith

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2018
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsYork University
Fundersnot available
KeywordsCapstoneDeliverableTest (biology)Government (linguistics)Class (philosophy)Engineering managementWaterfall modelComputer scienceEngineering ethicsEngineeringSystems engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

York University’s multi-disciplinary capstone design class was established “to include significant elements of design and implementation” in such as manner as to “resemble engineering projects in practice.” The class was restructured in summer 2016 to coincide with the introduction of fourth-year cohorts in both the Electrical and Mechanical programs. The changes were designed to more closely emulate an industry-standard approach. Choosing an industrially-accepted design methodology would provide a good framework for the project design and implementation and would be motivational to the students as they transitioned from university to professional life. In parallel, the course directors used a narrative structure, the Hero’s journey, to help students identify their pathways through capstone and to tell their capstone stories after the experience.We adapted the gating reviews for the Waterfall model often used in large government contracts. At the start of the project, students are provided a governing document (similar to a contract). Gate reviews are held at preliminary and critical design stages, test readiness and post-test review and final delivery. Every deliverable requires team reflection, similar to bidder self-evaluations on government contracts. The project concludes with an open house, similar to a product release, for students to present their projects and processes to stakeholders and the general public.This paper presents the results of the first two years of the newly revised capstone, using the Hero’s Journey metaphor and the waterfall model.

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.

How this classification was reachedexpand

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.202
Teacher spread0.194 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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