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Record W2600508825 · doi:10.24908/pceea.v0i0.6518

BUILDING BRIDGES: AN APPROACH TO THE INTEGRATION OF ENGLISH LANGUAGE EDUCATION IN FIRST-YEAR APPLIED SCIENCE COURSES FOR INTERNATIONAL STUDENTS

2017· article· en· W2600508825 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2017
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGeneral partnershipEnglish languageComputer scienceRelation (database)Mathematics educationCommunication skillsEngineeringMedical educationPsychologyMedicine

Abstract

fetched live from OpenAlex

Vantage College at UBC offers innovative specialized first-year programs for international students that integrate core content courses with complementary language education to allow participants to hone their communication skills while meeting regular academic requirements. In the Applied Science stream of the Vantage program, each first-year engineering course is paired with a language enrichment course, and their respective instructors collaborate, tailoring their content and delivery to improve both the learning of technical material and the effective development of communication skills. This paper outlines the partnership between two physical chemistry courses and their linked language courses. Insights into the nature and logistics of this type of collaboration are presented, and the effectiveness of this training approach is evaluated in relation to the students’ mastery of technical content and improvement of English communication skills. Specific challenges and future improvements of the program are also discussed.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.007
GPT teacher head0.258
Teacher spread0.251 · 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