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Record W2149338266 · doi:10.1109/icme.2009.5202717

A multimedia item authoring framework for computer-based education

2009· article· en· W2149338266 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

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceMultimediaSoftware portabilityInteractivityInteroperabilityReusabilityScalabilityCurriculumWorld Wide WebSoftwareProgramming language

Abstract

fetched live from OpenAlex

Perceptually inspired curriculum using multimedia content connects students to subject matter and deepens their understanding of abstract concepts. This approach has become increasingly attractive in education. Multimedia content can arouse user engagement through interactivity and immersion, and thus inspire a student to learn. Differing from multiple-choice, multimedia items require diverse screen layouts. Non-standard templates bring challenges to techers, who either do not have the programming skills or cannot afford the time outside their primary duties to study complex templates. Inflexibility in item creation may cause hesitation in adopting new technologies. In order to support a smooth transition from conventional to multimedia item creation, we introduce a Multimedia Item Generator (MIG) for educators. Portability, reusability, scalability and interoperability are the characteristics of MIG. In this paper, we describe the design and implementation, and present our future plan.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.760
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.048
GPT teacher head0.400
Teacher spread0.352 · 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

Quick stats

Citations2
Published2009
Admission routes1
Has abstractyes

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