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Record W1552750649

Cognitive Presence in A Virtual Learning Community: An EFL Case

2013· article· en· W1552750649 on OpenAlexvenueno aff
Sayyed Mohammad Alavi, Mahboubeh Taghizadeh

Bibliographic record

VenueInternational journal of e-learning & distance education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionContext (archaeology)PsychologyMathematics educationDivergence (linguistics)Virtual communityComputer scienceThe InternetWorld Wide WebLinguisticsGeography
DOInot available

Abstract

fetched live from OpenAlex

This study aimed to investigate the existence of cognitive presence as one of the elements of Community of Inquiry framework in virtual centers of undergraduate students of science and technology. To achieve the purpose of this study, first a questionnaire was uniquely developed on the basis of the suggestions made in the literature reviewing the indicators of cognitive element of CoI framework. The questionnaire was then administered to undergraduate students (N=107) who were studying a technical or a technological course in the Iran University of Science and Technology and Khajeh Nasir Toosi University of Technology. The analysis of the questionnaire data showed that (a) considering the categories, Exploration and Resolution categories appeared more frequently than others in virtual centers of the present study. (b) The indicators of Divergence, Information exchange, and Applying new ideas were hierarchically frequent. In order to promote and sustain cognitive presence, this study suggests virtual language educators to incorporate the indicators of cognitive presence into their classroom context.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.024
GPT teacher head0.378
Teacher spread0.355 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations22
Published2013
Admission routes1
Has abstractyes

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