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Record W3001330242 · doi:10.24908/pceea.vi0.13764

MOTIVATION BEHIND INTERNATIONAL UNDERGRADUATE STUDENTS CHOOSING ENGINEERING

2019· article· en· W3001330242 on OpenAlexaffvenueabout
Juan Abelló, Alys Avalos-Rivera, Gabriel Potvin, Saloome Motavas, Vladan Prodanovic, Sandra Zappa‐Hollman

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2019
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsExpectancy theoryQuarter (Canadian coin)PsychologyIdentity (music)Value (mathematics)Medical educationEducational attainmentEngineering educationSocial psychologyMathematics educationEngineeringMedicineEconomicsMathematicsGeographyStatistics

Abstract

fetched live from OpenAlex

This paper reports on a pilot study that investigated what motivated a group of first-year international students in the Vantage College program at the University of British Columbia (UBC) to pursue a degree in engineering. The study also sought to examine whether students report changes in their motivation as a result of completing their first year in our program. Data were collected through an open-ended survey provided to our cohort of 69 students, from which we received 66 responses. The results were analyzed qualitatively based on an expectancy value theoretical framework (focused on interest, utility, cost, and attainment.) The findings showed strong agreement with interest and utility as motivating factors, little agreement with attainment and cost as relevant factors, and the presence of additional motivators not present in our initial framework. The strongest among the latter group was family influence, with ability also appearing, yet to a lower degree. Our results suggest that interest and utility are the strongest motivators (over one third of students), with family influence (about one quarter) and ability (about one eight) being less important. We found few instances of cost (about one tenth) and no significant instances of attainment; this may be because engineering identity is developed as a student progresses through the undergraduate program.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score1.000

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 science0.0010.000
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 head0.003
GPT teacher head0.183
Teacher spread0.180 · 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.

Study designObservational
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

Citations1
Published2019
Admission routes3
Has abstractyes

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