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Record W2066682342 · doi:10.5430/wje.v5n1p82

Introduction and Evaluation of the Notice Boards Designed for Pre-school Children and Their Parents within the Framework of “Media Literacy” Theme

2015· article· en· W2066682342 on OpenAlexvenueno aff
Belgin Arslan Cansever, Gamze Bilir Seyhan

Bibliographic record

VenueWorld Journal of Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsNoticeTheme (computing)LiteracyPedagogyPublic relationsPsychologyPoint (geometry)Medical educationSociologyPolitical scienceMedicineComputer science

Abstract

fetched live from OpenAlex

The aim of this study was to raise the awareness of pre-school teacher candidates within the framework of medialiteracy the importance of which has been noticed recently in Turkey and which has attracted attention of academiccircles as a research topic. In addition, by providing opportunities for pre-school candidates to design materials onthis topic, it also aimed to help them practice what they know and internalize the information they would obtain onmedia literacy. In this regard, the article introduces the notice board practices of media literacy theme performed byteacher candidates for pre-school students and their parents. Teacher candidates made their own choices on designingnotice boards either for children or for their parents. Encouraging candidates to design such notice boards and to usethem in training and then in their professional life is extremely important for them both to discover their owncreativity and to develop their hand skills. Moreover, dealing with the media literacy theme and expecting them todevelop materials by informing the candidates on this issue is a step taken towards raising the awareness of teachercandidates who will educate future generations. From this point of view, it could be recommended to providepractices on board and material development and use within the framework of media literacy theme throughin-service seminars for teachers currently continuing their professional life; and to share functional teachingmaterials among teachers on various platforms (conferences, congress, workshops etc.).

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.444

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 communication0.0000.000
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 head0.336
Teacher spread0.310 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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