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Record W1649646303 · doi:10.14742/ajet.1186

Instructional designers' conceptualisations of learning objects

2008· article· en· W1649646303 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAustralasian Journal of Educational Technology · 2008
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsMemorial University of NewfoundlandSaskatchewan Polytechnic
Fundersnot available
KeywordsUSableInstructional designComputer scienceCoding (social sciences)MultimediaFocus groupEducational technologyMathematics educationWorld Wide WebPsychologySociology

Abstract

fetched live from OpenAlex

<span>The purpose of the study reported on in this paper was to gain insight into how instructional designers conceptualise learning objects (LOs) and their attributes. It aimed to identify the range and types of conceptualisations of LO attributes held by a group of designers. Data were collected during two phases of semi-structured phone interviews with 10 instructional designers working in Canadian colleges and universities. Open, axial and selective coding were used to analyse data. Designers identified the following attributes of LOs: digital, interactive, pedagogically purposeful, pedagogically worthwhile, pedagogically assessable, usable, reusable, peer reviewable and granular. Designers conceptualised LOs and their attributes with more of a focus on pedagogical best practices rather than a focus on technical definitions of LOs.</span>

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.026
GPT teacher head0.285
Teacher spread0.259 · 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