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Record W2165756351 · doi:10.17569/tojqi.13390

Effectiveness of Artistic Interaction through Video Conferencing

2011· article· en· W2165756351 on OpenAlexaboutno aff
Suzan Duygu Bedir Erişti

Bibliographic record

VenueDergiPark (Istanbul University) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsViewpointsVideoconferencingTurkishPsychologyPerceptionQualitative researchPedagogyMathematics educationMultimediaVisual artsSociologyComputer scienceArtLinguisticsSocial science

Abstract

fetched live from OpenAlex

This study investigated Turkish and Canadian primary school students’ ways of expressing their perception of interactive art education through video conferencing and that of cultural interaction through pictorial representations. The qualitative research data were collected in the form of pictures and interviews on interactive art education along with cultural components depicted in pictures. The results obtained were analyzed and interpreted based on the quantitative content analysis method. The research results revealed that the majority of the students explained their viewpoints through the effectiveness of the process. The students highlighted the importance of learning a different culture, learning about a different art technique and recognizing new friends in the process. The synchronization regarding interactive art education through videoconferencing was another important experience reflected by the students. Most of the students indicated that interactive art education through videoconferencing encouraged them to learn and understand about different cultures, helped them develop cultural awareness, attracted their attention and increased their motivation

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.225
Teacher spread0.169 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2011
Admission routes1
Has abstractyes

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