Leveraging assessment to promote kindergarten learners’ independence and self-regulation within play-based classrooms
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.
Bibliographic record
Abstract
Currently, kindergarten education is shaped by two priorities: (1) the recognition that early learning must maintain a developmental orientation and support socio-personal growth; and (2) a growing emphasis on standards-based curriculum and the use of assessment to support children’s learning. While some researchers have argued these two priorities are counter-related, research demonstrates the potential to embed these goals through play-based pedagogies. The purpose of this paper is to explore how kindergarten teachers leverage assessment practices, particularly Assessment as Learning (AaL), to support children learning within play-based classrooms. Centrally, we argue that a focus on AaL and self-regulation might be the fulcrum that hinges play-pedagogies with standards-based education and assessment mandates, helping to diminish the divide between these two priorities. Data are drawn from 20 kindergarten classrooms via initial interviews, observations and video-elicitation teacher interviews. Findings identify how kindergarten teachers are productively using assessment to promote learner independence within play-based classrooms.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it