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Record W2746219967

Building a Culture of Effective Cooperative Learning: Teacher Practices and School Leadership in an Elementary School

2017· dissertation· en· W2746219967 on OpenAlexaboutno aff
Kristin Miller

Bibliographic record

VenueNational University System Repository (National University System) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationEducational leadershipPedagogyTeacher leadershipSociologyPsychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Alberta Education’s (2010) Inspiring Education framework, a Ministerial Order on Student Learning (Alberta Education, 2013), continues to be challenged by a diversity of learners and learning needs. With the need for cross-curricular competencies and 21st century skills, Alberta students are required to develop and demonstrate good communications skills and the ability to work cooperatively with others (Alberta Education, 2010; Alberta Education, 2013). This capstone explored common research that has demonstrated that students, regardless of their differing backgrounds and needs, learn more effectively through cooperative learning opportunities. Research has shown that cooperative learning has positive effects on student success. This capstone noted how elementary teachers can build a culture of effective cooperative learning into their teaching practices. In addition, a literature review illustrated how school leaders can build a culture of systemic cooperative learning through effective leadership, which is needed for quality learning and for school improvement.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.042
GPT teacher head0.321
Teacher spread0.280 · 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 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
Published2017
Admission routes1
Has abstractyes

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