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Record W3197335632 · doi:10.1080/1350293x.2021.1974067

Engineers and engineering through the eyes of preschoolers: a phenomenographic study of children’s drawings

2021· article· en· W3197335632 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Early Childhood Education Research Journal · 2021
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsPhenomenographyPsychologyEngineering educationPerceptionPedagogyMathematics educationEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

This study aimed to explore how preschoolers perceive engineers and engineering by using their drawings. For this aim, phenomenography was used as a research approach. The data were collected using the draw-and-tell technique and through the drawing and explanation related parts of the Draw an Engineer Test. Totally, 436 preschool children from 16 different cities in Turkey were asked to draw an engineer and narrate their drawings. The data were analyzed using inductive content analysis. Findings indicated that some children did not reveal an understanding of engineer or engineering via their drawings (n = 50). A limited number of children (n = 17) had a perception of engineer parallel to the definition of the engineer in the literature. Most children (n = 199) tended to perceive engineering as a male-specific and physical work and represented engineers while working outdoors (n = 147); building structures or constructing machinery (n = 156). This research implies that preschoolers should have a higher amount of opportunity to explore engineering in everyday life with the empowerment of teachers, parents, and community members.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.361
Teacher spread0.319 · 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