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Record W2040528684 · doi:10.4018/jmbl.2009092204

E-Professional Development and Rural Teachers

2009· article· en· W2040528684 on OpenAlex
Andrew Kitchenham

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Mobile and Blended Learning · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsProfessional developmentPsychologyBlended learningProfessional learning communityFaculty developmentMedical educationEducational technologyPedagogyQualitative researchMathematics educationSociologyMedicine

Abstract

fetched live from OpenAlex

This paper describes the outcomes of a study on teacher supply and demand issues in Northern Canada. Using questionnaires and interviews, participants were asked to comment on professional development models currently used and models to be considered. In particular, comments on the use of blended learning as a viable method of e-professional development model were favorable. In subsequent research to follow up those comments, the researcher provided professional development model exemplars and asked the participants to discuss the advantages and disadvantages for rural teaching professionals. The researcher argues that the chosen blended learning model is superior to others as it is based on adult-learning principles. The results of this study are promising as the majority of participants chose blended learning as their primary choice for professional development.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.155

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.017
GPT teacher head0.362
Teacher spread0.345 · 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