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Record W4206699487 · doi:10.5430/jct.v11n1p174

Applied Social and Communication Aspects of the Media Literacy Development in Future Specialists

2022· article· en· W4206699487 on OpenAlexvenueno aff
Nataliia Haidur, Vitalii Kornieiev, Inha Pohrebniak, Andriy Yatsenko, Kateryna Horska, Eleonora Kryvka

Bibliographic record

VenueJournal of Curriculum and Teaching · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsLiteracyMedia literacyProcess (computing)Social mediaPsychologyCompliance (psychology)Public relationsDialecticEngineering ethicsPedagogyInformation literacyProfessional developmentMedical educationMathematics educationPolitical scienceEngineeringComputer scienceMedicineSocial psychology

Abstract

fetched live from OpenAlex

The article examines the problems of applied social and communication aspects of the media literacy development in future teachers. The research involved such methods as sociological analysis, the reproductive method, the pedagogical experiment, testing, survey, as well as the method of dialectical research. The results of testing and surveying students showed the need to improve the applied social and communication aspects of the media literacy development in future specialists. The main ways to improve the media literacy development in future teachers were identified based on the results of testing and surveying students, namely: create special learning environments, involve students in project activities, organize student interactions with all participants in the learning process, etc. In the future, compliance with such recommendations will expand the dialogue needed between teachers and students, and increase awareness of future professionals features and skills of media literacy. As a result, it will allow future professionals to become aware of their responsibilities and obligations to society. In the future, compliance with such recommendations will expand the necessary dialogue between teachers and students, and increase future specialists’ awareness of the features and skills of media literacy. As a result, it will allow future specialists to become aware of their responsibilities and obligations to society.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.276
Teacher spread0.260 · 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 designTheoretical or conceptual
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

Citations3
Published2022
Admission routes1
Has abstractyes

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