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Record W7002201092

A mixed method study on transitioning engineering graduate attributes into the workplace

2014· dissertation· en· W7002201092 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2014
Typedissertation
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAccreditationEngineering educationProcess (computing)Graduate studentsConjunction (astronomy)
DOInot available

Abstract

fetched live from OpenAlex

Canadian engineering schools are required to follow an accreditation program as outlined by Engineers Canada. This program determines the qualifications of a graduating engineer through a series of graduate attributes. These attributes are an outline of the skills/abilities required in their educational programs. This study was developed in conjunction with Manitoba Hydro to determine an understanding of the knowledge gaps between a senior professional engineer and a newly graduated engineer. Training and engineering design knowledge transfer is a primary concern for this corporation. The research question focused on determining the activities of a senior and junior group of engineers and how these activities differed. The second question was on determining the skill/ability level of a new engineering graduate upon entering the workplace. This skill/ability level can be determined with respect to the graduate attributes. Data was collected using a mixed method approach. Interviews were conducted with a group of professional engineers and another group of engineers in training. Following the interview process two sets of questionnaires were completed by each group of participants. One questionnaire was based on engineering activities undertaken in the workplace. The second questionnaire was based on assessments of graduate attribute requirements and abilities for new graduates. The findings showed that engineering activities for these participants matched closely to information as reported in the literature. It was also determined that differences between the two groups in the study were due to the supervisory duties of the senior group and the technical nature of the junior groups responsibilities. Findings for the second question showed that engineers in the workplace are more critical of their skill/abilities that are newly graduated engineers. The study showed that this group of participants felt the level of knowledge for a newly graduated engineer was at an introductory level. They also indicated that generally this level was adequate for the responsibilities of the workplace. It was determined that the most important skill area was in the social aspects of the graduate attributes and this was the area of the greatest deficit in educational knowledge.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.239
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2014
Admission routes2
Has abstractyes

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