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Record W1776252433

Questions in the Online Learning Environment

2007· article· en· W1776252433 on OpenAlex
Judith Blanchette

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInternational journal of e-learning & distance education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsPsychologyCognitionFace (sociological concept)HumanitiesLinguisticsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This article explores the syntactic structure, cognitive functions, pedagogical features, and communicative characteristics of questions asked by participants in an asynchronous learning environment. Participants used fewer syntactic forms than observed in face-to-face postsecondary classrooms, but based on the Model of Productive Thinking (Barnes, 1983; Gallagher & Aschner, 1963), they exhibited higher levels of cognition. Questions at higher cognitive levels were found to stimulate more interaction than did those at lower levels. Compared with face-to-face interaction, students asked more rhetorical questions, using them to persuade, think aloud, and indirectly challenge other participants. Cet article explore la structure syntaxique, les fonctions cognitives, les particularites pedagogiques et les caracteristiques communicatives des questions posees par les participants dans un environnement d’apprentissage asynchrone. Les participants ont utilise moins de formes syntaxiques qu’observe dans des classes de cours de niveau post-secondaire, mais, base sur le modele de pensee productive (Barnes, 1983; Gallagher et Aschner, 1963), ils ont montre des degres plus eleves de cognition. Les questions aux degres cognitifs plus eleves se sont averees stimuler plus d’interaction que celles aux degres moindres. Comparativement a l’interaction en face a face, les etudiants ont pose plus de questions rhetoriques, les utilisant pour persuader, penser tout haut et, indirectement, mettre au defi les autres participants.

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)0.003
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.765
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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 integrity0.0000.001
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 head0.017
GPT teacher head0.364
Teacher spread0.346 · 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