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Record W2924392254

No Walls, no problems? Exploring practice related challenges experienced by teachers in a 21st century open-concept school

2019· article· en· W2924392254 on OpenAlexaff
Allison McMillan

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsQueen's University
Fundersnot available
KeywordsSpace (punctuation)PedagogyMathematics educationSchool teachersBest practicePsychologyComputer sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

This case study explores the challenges to practice experienced by nine educators working within contemporary open-concept elementary school. Data was collected through observations of nine teachers working within two distinct learning communities (one ranging from grades 3-5 and the other from grades 6-8) within one newly constructed K???8 elementary school in. Semi-structured interviews with teachers were also conducted to better understand teachers??? aspirations and intentions for their practice and the challenges and obstacles they have experienced thus far. Teachers expressed and demonstrated over the course of the study that collaborative work is essential, both because of the physical design of the space as well as in overcoming novel challenges. One common challenges experienced in this case was the limitations to pedagogical change imposed by traditional school routines and social structures. The findings from this study suggest that further research is needed to understand best practices for teaching in these spaces and how these practices can be shared with both in-service and pre-service educators to support their success in open-concept learning environments.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.058
GPT teacher head0.327
Teacher spread0.270 · 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 designQualitative
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

Citations0
Published2019
Admission routes1
Has abstractyes

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