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Record W1905524401 · doi:10.14742/ajet.1315

The pedagogical and multimedia designs of learning objects for schools

2005· article· en· W1905524401 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.

Bibliographic record

VenueAustralasian Journal of Educational Technology · 2005
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsOntario Tech UniversityUniversity of Alberta
Fundersnot available
KeywordsInteractivityExperiential learningMultimediaComputer scienceInstructional designNarrativeEducational technologyObject (grammar)Mathematics educationPsychologyArtificial intelligence

Abstract

fetched live from OpenAlex

<span>While much has been written about learning objects, the focus of discussion has been on standards, theoretical principles or post-secondary applications. Little has been published about the issues of the K-12 sector. From the literature, interactivity and scaffolding are the two pedagogical aspects considered crucial to learning object design. In multimedia design, writers have focused on engagement, persistence and success in simulation, gaming, narrative and experiential situations. Using these criteria we examined the pedagogical and multimedia design features in 35 K-10 learning objects produced by The Le@rning Federation. Objects which met the learning and multimedia design criteria had clear objectives, multiple activities, high interactivity, learner choice and an extensive scaffolding interface behind the main design. Research on the use of learning objects by teachers and students is recommended as the next step.</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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.253

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 science0.0010.000
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 head0.051
GPT teacher head0.355
Teacher spread0.303 · 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