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Record W137391454

Integrated Solutions to E-Learning Implementation: Models, Structures and Practices at Trinity Western University.

2004· article· en· W137391454 on OpenAlexaff
Philip Laird

Bibliographic record

VenueOnline journal of distance learning administration · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsTrinity Western University
Fundersnot available
KeywordsLifelong learningOnline learningDistance educationRealmEducational technologyAndragogyHigher educationKnowledge managementSociologyComputer sciencePedagogyAdult educationPolitical scienceMultimedia
DOInot available

Abstract

fetched live from OpenAlex

Trinity Western University’s development of an integrated and seamless online learning community, intersecting with the traditional face-to-face educational enterprise, has progressed rapidly since the creation of Global Learning Connections in 2002. The development of this perpetual learning infrastructure has necessitated the resolution of four key issues in online learning: ownership and control of online educational products; curricular quality and mission-compatibility of online educational products; service to and satisfaction of learners in the online educational realm; and enterprise-wide integration of online education at all levels of TWU as an evolving organization. Various models and approaches are presented with emphasis placed on the direction TWU has taken in preparation for lifelong education in the knowledge age.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.032
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0120.009
Open science0.0030.011
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.053
GPT teacher head0.382
Teacher spread0.329 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations13
Published2004
Admission routes1
Has abstractyes

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