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Assessment in 21st Century Learning

2019· book-chapter· en· W2980773015 on OpenAlexaffabout
Mary Ott, Kathryn Hibbert

Bibliographic record

VenueAdvances in early childhood and K-12 education · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsWestern University
Fundersnot available
KeywordsFormative assessmentSituatedImprovisationNarrativeDivergence (linguistics)PedagogySituated learningAssessment for learningSpace (punctuation)CurriculumLiteracyMathematics educationSociologyPsychologyComputer scienceVisual artsArtArtificial intelligence

Abstract

fetched live from OpenAlex

This chapter contributes a more complex understanding of how formative assessment can support the practice of 21st century literacies. The study is situated in discourses of assessment for learning and 21st century learning in Ontario, Canada. Vignettes from narrative inquiries with four, junior elementary teachers explore different enactments of a literacy program, drawing on perspectives of teachers as curriculum makers and sociomaterial theories on practice and relational space. Findings present a conceptual framework of how practices for convergence or divergence in teacher improvisation and inquiry enact inferential, iterative, resonant, or fluid formative spaces for learning.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.307
Teacher spread0.299 · 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.

Study designObservational
Domainnot available
GenreOther

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

Citations1
Published2019
Admission routes2
Has abstractyes

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