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Record W7096100820

Redesigning Online Learning for International Graduate Seminar Delivery

2010· article· en· W7096100820 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMedical and Health Sciences Research
Canadian institutionsnot available
Fundersnot available
KeywordsOnline learningLigneMainstreamOnline teachingDistance educationGraduate studentsHigher educationBlended learning
DOInot available

Abstract

fetched live from OpenAlex

Given the crucial role played by universities in a knowledge-based society, understanding how and under what conditions online learning (OL) can improve access to graduate studies is of the highest importance to today's growing global economy. Over the past decade, phenomenal advances have been made in the application of communication and information technologies to support student learning in higher education. Yet, in proportion to overall provision of higher education, the use of technology by faculty for graduate-level, online learning (OL) has been minimal, especially among regular faculty. This paper presents an adapted form of OL, especially designed for traditional universities, with initial data from studies underway in two Canadian universities. Finally, an emerging network of researchers interested in the role of online learning within mainstream higher education is presented. Résumé Étant donné le rôle crucial joué par les universités au sein d’une société fondée sur le savoir, comprendre comment et à quelles conditions l’apprentissage en ligne (AL) peut améliorer l’accessibilité aux études supérieures est primordial pour l’économie globale croissante d’aujourd’hui. Au cours de la dernière décennie, des avancées phénoménales ont été réalisées dans l’application des technologies de communication et de l’information afin de soutenir l’apprentissage étudiant dans le cadre d’études supérieures. Toutefois, proportionnellement à l’ensemble de l’enseignement supérieur dispensé, l’utilisation de la technologie par les enseignants pour l’apprentissage en ligne (AL), aux études supérieures, a été minimal, particulièrement parmi les membres réguliers du corps professoral. Cette étude présente une forme adaptée d’AL, spécialement conçue pour les universités traditionnelles, avec des données initiales provenant d’études en cours dans deux universités canadiennes. Finalement, un réseau émergent de chercheurs s’intéressant au rôle de l’apprentissage en ligne dans le cadre de l’éducation supérieure régulière est présenté

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.146
GPT teacher head0.444
Teacher spread0.298 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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