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Record W1517025999

Teacher and Student Behaviors in Face-to-Face and Online Courses: Dealing with Complex Concepts

2008· article· en· W1517025999 on OpenAlexaffvenue
Catherine E. Cragg, Jean Dunning, Jaqueline Ellis

Bibliographic record

VenueInternational journal of e-learning & distance education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychologyContext (archaeology)Face-to-faceFacilitationQuality (philosophy)Mathematics educationClass (philosophy)Face (sociological concept)PedagogyComputer scienceSociologyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The objective of this research was to compare the quality and quantity of teacher and student interaction in an on-line versus face-to-face learning environment. A Master’s level course on nursing theories was taught by the same professor by both methods. Transcripts of the face-to-face class and on-line postings were analyzed to identify professor behaviors and also to rate the levels of student responses using the Gunawardena, Lowe and Anderson (1997) Analysis Model for Social Construction of Knowledge. Categories of teacher behaviors were identified and frequencies calculated in each course. While numbers of interventions were different, the professor showed similar facilitation behaviors in both environments. Student participations were counted and rated using the five major phases of the model. While most student interactions reflected the lower levels of the model, some students in each delivery context demonstrated higher levels of knowledge construction. Students experiencing each delivery method were successful in the course and mastered complex, abstract concepts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.026
GPT teacher head0.401
Teacher spread0.375 · 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 designObservational
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

Citations21
Published2008
Admission routes2
Has abstractyes

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