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Record W4206273177 · doi:10.1080/09575146.2021.1959522

Assessing four- and five-year old children’s play-based writing: use of a collaboratively-developed assessment tool

2022· article· en· W4206273177 on OpenAlexaffabout
Nicola Friedrich, Shelley Stagg Peterson

Bibliographic record

VenueEarly Years Journal of International Research and Development · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyDevelopmental psychologyMathematics educationPedagogy

Abstract

fetched live from OpenAlex

In this study, we make the case for using texts children create as part of their play as a means for assessing their developing print literacy knowledge. We assessed 4- and 5-year-old children’s authentic texts using categories and criteria from the Assessing Young Children’s Marks/Drawing/Print tool, a research-based, classroom assessment we co-created with educators. We describe patterns we identified from our assessment of 104 texts the children created as part of their play within six themed centres in three kindergarten classrooms in a small northern town in Ontario, Canada. Overall, our assessment revealed the children’s understanding of spelling and the conventions of writing, and of writing as a social practice. However, since many texts were at the single word level, we were unable to determine the children’s understanding of conventions associated with more complex texts. We conclude by demonstrating how teachers might use the tool to assess children’s play-based texts.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.117
GPT teacher head0.432
Teacher spread0.315 · 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

Citations5
Published2022
Admission routes2
Has abstractyes

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