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Record W2104206045 · doi:10.21432/t28w26

Instructional designers at work: A study of how designers design

2009· article· en· W2104206045 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsAthabasca UniversityConcordia University
Fundersnot available
KeywordsInstructional designPedagogyPsychologySet (abstract data type)HumanitiesComputer scienceArt

Abstract

fetched live from OpenAlex

Instructional design (ID) in its short life has been dominated by behaviourist approaches despite critique focusing on issues of practice as well as theory. Nonetheless, little research has addressed two fundamental questions: “What constitutes good instructional design?” and “How do instructional designers create good design?” We have begun a search for answers by asking a sample of eight instructional designers to reconstruct how they helped faculty members deal with challenging design problems as they adopted a Learning Management System and other web-based technologies in support of their teaching. From audio-recordings we derived response categories consistently recurring within and across interviews, then validated our analysis with the sampled group of instructional designers. Our analysis suggests that instructional designers employ a set of social skills and cognitive tools that enable them to act as a pedagogical “conscience” in the design process. We interpret these skills in terms of “theory of mind” in the context of instructional design. Résumé : Durant sa courte existence, le domaine de la conception pédagogique a été dominé par les approches comportementales malgré la critique qui met l’accent sur les questions pratiques aussi bien que théoriques. Néanmoins, peu de recherches ont abordé deux questions fondamentales : « Qu’est-ce qu’une bonne conception pédagogique ? » et « Comment les concepteurs pédagogiques élaborent-ils un bon concept ? ». Nous avons commencé notre recherche de réponses en demandant à un échantillon de huit concepteurs pédagogiques de reconstruire la manière dont ils ont aidé les professeurs à composer avec des problèmes de conception particulièrement difficiles tandis que ces derniers procédaient à l’implantation d’un système de gestion de l’apprentissage et d’autres technologies Web comme soutien à l’enseignement. À partir des enregistrements sonores, nous avons déterminé des catégories de réponses qui apparaissaient de manière récurrente dans les divers entretiens ; puis, nous avons fait valider notre analyse par notre groupe-échantillon de concepteurs pédagogiques. Notre analyse suggère que les concepteurs pédagogiques utilisent un ensemble de compétences sociales et d’outils cognitifs qui leur permettent d’agir en tant que « conscience » pédagogique lors du processus de conception. Nous interprétons ces compétences sous l’angle de la « théorie de l’esprit » dans le contexte de la conception pédagogique.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.275
Teacher spread0.252 · 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