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Record W276498008 · doi:10.3406/stice.2003.857

Vers un modèle générique d’assistance aux acteurs du téléapprentissage

2003· article· en· W276498008 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

VenueSciences et Technologies de l Information et de la Communication pour l Éducation et la Formation · 2003
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsComputer scienceTUTORInterface (matter)Domain (mathematical analysis)Task (project management)Object (grammar)Human–computer interactionOrder (exchange)Artificial intelligenceProgramming languageEngineeringMathematics

Abstract

fetched live from OpenAlex

A generic model of assistance for telelearning actors is presented. The help system described by this model can be linked to any distributed or local computer environment, regardless type of knowledge domain and type of online users (learner, designer, tutor, teacher, etc.) using the help system. The help system guides these users by offering advice or by adapting the interface according to their preferences or those of a work team, to their task progress, to their interaction and/ or to their history of utilized help functions in the help system. The generic model identifies the various components of such a system and proposes several typologies (help access types, object types, type of goals and themes, types of help conditions and actions, etc.). An applied example of this generic model is presented in order to specify a help system designed for telelearning designers.

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)0.019
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.737
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.004
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 head0.063
GPT teacher head0.400
Teacher spread0.336 · 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