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Record W1573757825

A Path Analysis Of The Concepts In Moore’s Theory Of Transactional Distance In A Videoconferencing Learning Environment

2007· article· en· W1573757825 on OpenAlex
Yau‐Jane Chen, Fern K. Willits

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational journal of e-learning & distance education · 2007
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsTransactional leadershipDistance educationPsychologyVideoconferencingAutonomyPath analysis (statistics)HumanitiesPedagogySocial psychologyPhilosophyComputer sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

The lack of empirical testing of theories in past studies in distance education has resulted in a fragile theoretical basis of this field. Investigating 121 learners’ experiences with videoconferencing, this study used path analysis to examine the postulates of Moore’s Theory of Transactional Distance. A major focus of the study was estimating the effects of the dimensions of dialogue, structure, learner autonomy, and transactional distance—the constituent concepts of Moore’s theory—on learning outcomes in such a learning environment. In-class discussion, one of the dimensions of dialogue, was found to contribute positively, directly, and indirectly to learning outcomes, whereas transactional distance between instructors and learners was inversely related to learning outcomes. None of the dimensions of structure and learner autonomy was found to have significant effects on learning outcomes. The data suggested that when learning outcomes were assessed only in terms of the student’s perception of how much he or she has learned, the relationships among the concepts in the transactional distance theory were only partly supported. Dans les etudes anterieures menees en education a distance, le peu de verifications empiriques des theories nous a legue des fondements theoriques faibles. Cette etude, qui analyse les experiences d’apprentissage par videoconference de cent vingt et un apprenants, a adopte une analyse causale des postulats de la theorie de Moore sur la distance transactionnelle. L’etude s’est attachee a evaluer les effets du dialogue, de la structure, de l’autonomie de l’apprenant et de la distance transactionnelle--concepts constituants de la theorie de Moore--sur les resultats d’apprentissage dans un tel environnement d’apprentissage. La discussion en classe, qui est l’un des aspects du dialogue, s’est revelee contribuer de maniere positive, directement et indirectement, aux resultats d’apprentissage, alors que la distance transactionnelle entre formateurs et apprenants etait en rapport inverse avec les resultats d’apprentissage. Il est apparu que ni la structure ni l’autonomie de l’apprenant n’entrainaient d’effets significatifs sur les resultats d’apprentissage. Les donnees laissent entendre que si l’on evalue les resultats d’apprentissage en s’appuyant seulement sur la perception du « combien » les etudiants ont appris, les correlations entre les concepts de la theorie de la distance transactionnelle ne sont que partiellement corroborees.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.381
Teacher spread0.360 · 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