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Record W227673710 · doi:10.20429/ijsotl.2011.050223

Internationalization of a Faculty SoTL Program: Immersion Experiences of Beijing Professors in a Canadian Research-Intensive University

2011· article· en· W227673710 on OpenAlexafffundabout
Baohua Wang, Junfang Peng, Marion L. Pearson, Harry Hubball

Bibliographic record

VenueInternational Journal for the Scholarship of Teaching and Learning · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsBeijingScholarship of Teaching and LearningScholarshipInternationalizationCurriculumPedagogyHigher educationSociologyTransformative learningMedical educationPsychologyTeaching methodTeaching and learning centerPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This essay describes an international exchange program at the University of British Columbia (UBC) for a cohort of faculty from the Bilingual Training Program (BTP) of the Beijing Teachers Training Center for Higher Education (BTTCHE). The Beijing professors’ cohort participated in an adapted version of UBC’s Faculty Certificate Program on Teaching and Learning (FCP), which provided them with an immersion experience designed to improve their English language skills and to enhance their understanding of key concepts pertaining to the scholarship of teaching and learning (SoTL) within and across disciplinary contexts. Critical reflections from both participants’ and instructors’ perspectives suggest that the program was successful in developing a strong community of learning and intentions for reforming individual teaching practices through engaging in scholarly approaches to and scholarship of teaching and learning. Based on various feedback data and reflection strategies, future iterations of this program will include better integration of language proficiency within the formal SoTL curriculum, as well as provide succession planning for continuing a blended SoTL community among the participants when returning to Beijing.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.119
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.180
GPT teacher head0.391
Teacher spread0.211 · 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.

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

Citations5
Published2011
Admission routes3
Has abstractyes

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