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Record W2982658389 · doi:10.1080/1554480x.2019.1684922

Library, classroom and action centre: design metaphors that shape pedagogy, roles and success criteria for online courses

2019· article· en· W2982658389 on OpenAlexaff
David W. Price

Bibliographic record

VenuePedagogies An International Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsConcordia University
Fundersnot available
KeywordsMetaphorAdaptabilityPedagogyAction (physics)CategorizationPsychologyComputer scienceMathematics educationSociologyLinguistics

Abstract

fetched live from OpenAlex

Moving courses online can amplify a pedagogy of compliance and result in an expensive development that resists change. Alternatively, moving online can expand the pedagogy, roles and success criteria for a course. The literature lacks multi-case analysis of complex online courses. This multiple case study uses activity theory to examine the development and adaptations of four online writing courses at universities in North America. The results suggest three design metaphors that predict expectations for criteria for success, pedagogical approach and development, and adaptability to change. A library metaphor focuses on isolated individuals studying packaged content and is resistant to change. A classroom metaphor focuses on facilitating interactions of students with existing content. In the library and classroom, moving online and responding to learner difficulties can amplify compliance pedagogy. In contrast, an action centre metaphor expands pedagogy and the roles of learners and their community by embracing collaboration, ongoing feedback and meaningful revision to address a community need. Design metaphors can be used to plan, categorize or evaluate online courses.

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)0.000
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 score0.750
Threshold uncertainty score0.962

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 communication0.0010.002
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 head0.105
GPT teacher head0.438
Teacher spread0.333 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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