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Record W4391599106 · doi:10.18260/1-2--43394

How We Teach: Capstone Design

2024· article· en· W4391599106 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
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCapstoneComputer scienceSoftware engineeringHuman–computer interactionComputer security

Abstract

fetched live from OpenAlex

Abstract Capstone design was the topic of the 2022 survey by AIChE's Education Division's Curriculum Survey Committee. Sixty responses have been received so far and preliminary results are reported here. Data collection will resume after the AIChE Annual Meeting. Institutions are more likely to have a two- or three-course capstone design series than a single capstone course (68% to 27%) with a mean of 5.4 credit hours. More institutions have design projects throughout the curriculum (40%) than have design courses throughout the program (20%). The course or courses in the capstone design are primarily offered only once a year (78%) with a slight edge to the spring semester/winter quarter (50%) over the fall semester/quarter (42%). Most institutions (78%) include instruction in software or programming as part of the course(s). The culminating design project is most often a theoretical design (68%) as opposed to one based on experiments (3%) or resulting in a prototype (7%), and most institutions do not use the AIChE Design Competition problems (70%). Professional skills are mainly lightly covered with the exception of professional communication being covered in depth at 58% of institutions. At most institutions, capstone design is used to assess the extent of ABET outcome achievement for all seven outcomes except #6 (develop and conduct appropriate experimentation…). Students typically complete only one culminating major design (67%) in a team of 4.0 (mean) students. The mean of unique projects completed by the cohort is 8.6. Students receive formal feedback on their progress weekly at 50% of the institutions and every other week at 23% of institutions. The mode for weekly student time spent on projects is 6 – 10 hours per week, 62% of institutions. The mean size of a faculty team teaching capstone design is 2.8 faculty. Fifty-eight percent of the instructors have at least three years of industrial experience, and instructors are split evenly between teaching-track and tenure-track. At least one capstone design instructor is a licensed professional engineer at 43% of the responding institutions. The faculty collaborate with industry at 63% of responding institutions. The conference paper and presentation will include many other details such as how teams are created, deliverables, software used, project topics, and the role of industrial collaborators. Student contact hours both inside and outside the classroom will be described. Comparisons will be made to earlier surveys.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.927
Threshold uncertainty score0.336

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 head0.016
GPT teacher head0.213
Teacher spread0.197 · 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