MétaCan
Menu
Back to cohort
Record W2105289904

Conception d'interfaces pour l'apprentissage à distance

2007· article· fr· W2105289904 on OpenAlexaff
Aude Dufresne

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDistance educationPsychologyComputer scienceAppropriationEpistemologyPedagogyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The present research focuses on interface conception that is truly adapted to distance learning and that provides the learner with tools not only to manage and monitor his-her learning but also to make the computer a supportive and motivating environment. Inspired by various experiments and evaluations of distance environments, the research highlights a number of problems of the distance learner that are related to a disorientation within the content, to technical difficulties encountered, to the difficulty of developing work methods with these new tools, and, finally, to the difficulty of establishing contacts that are equivalent to the traditional situation. This research proposes various axes for the development of distance learning interfaces, namely, the necessity to supply adequate navigation tools that are both contextual and flexible, content appropriation tools, and support functions that connect tasks to specific methods and that guide the learner. Finally, the research proposes the introduction of various artifacts to favour personalized expression and to restore other participants' presence by providing indexes of their availability and of their comments on the information. La presente recherche s'interesse a la conception d'interfaces qui soient reellement adaptees a l'apprentissage a distance et fournissent a l'apprenant les outils non seulement pour gerer et suivre son apprentissage, mais aussi pour faire de l'ordinateur un environnement supportant et motivant. En s'inspirant de differentes experimentations et d'evaluations d'environne-ments a distance, elle fait ressortir certains problemes de l'apprenant a distance qui sont lies a la desorientation dans le contenu, aux difficultes techniques rencontrees, a la difficulte de developper des methodes de travail avec ces nouveaux outils et enfin a la difficulte a etablir des contacts equivalents a la situation traditionnelle. Cette recherche propose differents axes de developpement pour les interfaces pour l'apprentissage a distance soit ; la necessite de fournir de bons outils de navigation, qui soient a la fois contextuels et flexibles, des outils d'appropriation de la matiere, des fonctions de support qui lient les tâches a des methodes specifiques et qui guident l'apprenant. Elle propose enfin d'introduire divers artefacts pour favoriser l'expression personnalisee et restaurer la presence des autres participants en fournissant des indices de leur disponibilite et de leurs commentaires sur l'information.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.004

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 head0.031
GPT teacher head0.305
Teacher spread0.274 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicOpen Education and E-LearningFrench-language works237,207