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Record W6944803895 · doi:10.25316/ir-17848

Developing a new engineering technologist career pathway from first-year engineering

2022· other· en· W6944803895 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVIUspace · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEngineering educationProcess (computing)CurriculumGovernment (linguistics)Engineering design processHealth systems engineeringIterative and incremental developmentWork in processCurriculum development

Abstract

fetched live from OpenAlex

Successfully completing an engineering degree often requires at least four or five years of intense study by students, and many of these students start their programs with a limited sense of what an engineer is or does. During their journey, some students gravitate towards a blend of practical application and theoretical knowledge of engineering principles; some, for diverse reasons, may be unable to invest the time required for an engineering degree. For these students, an engineering technologist career, which focuses on application and implementation, may be more appropriate. Leveraging the common first-year engineering curriculum recently launched in British Columbia, Vancouver Island University has developed and implemented a new, generalist, Integrated Engineering Technologist diploma (ITED) that combines civil, mechanical, and electrical principles, and provides a career pathway for those students who start engineering studies but choose not to continue with the degree. This paper will focus on the development of this new diploma, while a subsequent paper will evaluate its implementation. The three development phases of the IETD were: 1. Identifying key program graduate attributes, 2. Developing the program structure and delivery modes, and, 3. Creating the detailed course content. Within the first phase, an inventory of desired skills was obtained through broadly distributed surveys, direct engagement with industry, professional, and government groups, and evaluation of future needs within the technologist profession. This paper will outline the methods used to collect this data, and the process by which this data was developed into a thematic collection of higher order skills and attributes. Through this iterative consultation process, a technologist credential with a broad, non-specialized disciplinary focus was found to best meet the identified skills gap and need. The second phase consisted of a study of engineering, technologist, and technician programs to evaluate best practice. This paper discusses the cohort model that was ultimately chosen, and the highly modular approach used by the instructor team. Each four-week module consists of up to five courses run in parallel, where individual learning topics are treated collectively and strategically sequenced to best facilitate learning. A summative assessment evaluates learning at the end of each module. In the final phase, which is on-going, specific course content is being developed, including lab-based and field activities, classroom-based learning, and project work. Examples of this work and their motivation are provided.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.103
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.004

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 head0.018
GPT teacher head0.204
Teacher spread0.187 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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