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Record W1558994793

Developing Communities of Practice Around E-learning and Project Management

2010· article· en· W1558994793 on OpenAlexvenueno aff
R. R. Laxton, Andrelyn C. Applebee

Bibliographic record

VenueInternational journal of e-learning & distance education · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLibrary scienceHumanitiesManagementComputer science
DOInot available

Abstract

fetched live from OpenAlex

In 2007-8 the Australian Catholic University (ACU), undertook a project to develop new resources to provide training and support in eLearning for staff and students. The project was undertaken by a multidisciplinary team drawn from all six campuses and was led by an externally contracted Project Manager/eLearning specialist. This reflective case study reports on how the use of ACU’s project management methodology and the selection of a matrix organisation for the project, resulted in the nurturing of existing communities of practice (CoPs) around both eLearning and project management at ACU. Key recommendations are that effective project management practice and a matrix project organisation can promote and nurture knowledge sharing amongst CoPs in a university setting. Resume En 2007-8 la Australian Catholic University (ACU), a mis sur pied un projet visant a developper des nouvelles ressources aux fins de fournir de la formation et du soutien a l’apprentissage en ligne pour les enseignants et les etudiants. Le projet a ete realise par une equipe multidisciplinaire tiree des six campus et a ete mene par un Gestionnaire de projet/specialiste en apprentissage en ligne externe. Cette etude de cas reflective rapporte comment l’utilisation de la methodologie de gestion de projet d’ACU et le choix d’une organisation matricielle pour le projet, ont eu pour effet d’alimenter les communautes de pratique (CdPs) existantes en lien avec l’apprentissage en ligne et la gestion de projet chez ACY. Les recommandations cles sont que les pratiques de gestion efficaces et une organisation matricielle du projet peuvent promouvoir et alimenter le partage des connaissances parmi les CdPs dans un cadre universitaire.

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 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 score0.761
Threshold uncertainty score0.309

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 communication0.0000.001
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 head0.024
GPT teacher head0.380
Teacher spread0.356 · 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 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

Citations9
Published2010
Admission routes1
Has abstractyes

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