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Record W1491095512 · doi:10.21432/t2gp54

What Early Childhood Educators Need to Know About Computers in Order

2002· article· en· W1491095512 on OpenAlexaffvenueabout
Jacqueline Specht, Eileen Wood, Teena Willoughby

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsHumanitiesEarly childhood educationPsychologyPedagogyArt

Abstract

fetched live from OpenAlex

Abstract Recent research in early childhood education centres suggests that the classroom environment and educators' knowledge about computers are not at a level that would support computer learning opportunities. The purpose of the present study was to determine what areas of support educators require in order to provide a smooth introduction of the computer into the early childhood classroom. Questionnaires assessing basic knowledge, attitudes towards computers, and information that teachers would like to have regarding computers were completed by 196 (192 females and 4 males) early childhood educators from 3 mid-size Canadian cities. Overall, educators support the use of computers in the early childhood learning environment, but require information that is reliable, systematic and informed. Ideas for a computer workshop for early childhood educators are provided along with suggestions for future research. Résumé Des recherches récentes, effectuées dans des centres d’éducation de la petite enfance, suggèrent que l’environnement des salles de classe et que les connaissances en informatique des éducateurs ne sont pas d’un niveau qui puisse encourager les possibilités pédagogiques par le biais d’un ordinateur. L’objectif de la présente étude est de déterminer les domaines dans lesquels les éducateurs ont besoin de soutien, afin d’introduire, dans les meilleures conditions, l’ordinateur dans une salle de classe de la petite enfance. Des questionnaires évaluant leurs connaissances de base en informatique, leurs attitudes face à l’informatique et les informations qu’ils souhaiteraient recevoir à propos des ordinateurs ont été remplis par 196 (192 femmes et 4 hommes) éducateurs de la petite enfance, situés dans 3 villes canadiennes de taille moyenne. D’une manière générale, les éducateurs encouragent l’utilisation de l’ordinateur dans l’environnement de la petite enfance, mais ils ont besoin d’informations fiables, méthodiques et documentées. Des idées d’ateliers informatiques pour éducateurs de la petite enfance sont présentées, ainsi que des suggestions pour la recherche à venir.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.227
Teacher spread0.221 · 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 designNot applicable
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

Citations8
Published2002
Admission routes3
Has abstractyes

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