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Record W1532679855 · doi:10.1108/jea-03-2012-0027

Leadership for a new vision of public school classrooms

2014· article· en· W1532679855 on OpenAlexaffabout
Bruce Sheppard, Jean Brown

Bibliographic record

VenueJournal of Educational Administration · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDistributed leadershipEducational leadershipSchool districtPublic relationsRelevance (law)Principal (computer security)Focus groupInstructional leadershipPedagogyTeacher leadershipSociologyProfessional developmentQualitative researchMathematics educationPolitical scienceLeadership stylePsychologyShared leadershipComputer science

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to extend the understanding of distributed leadership to the school district level as the authors examine how leadership for twenty-first century learning is distributed within public schools and school districts as they strive to transform their school classrooms from primarily teacher-directed toward more student-centered and technology-enhanced. It contributes to a growing understanding of the inherent distribution of school and school district leadership and helps elucidate how existing leadership machinations can be adapted to facilitate the transformation of public school classrooms from being primarily teacher-directed, to predominately student-centered, technology-enhanced learning environments. Design/methodology/approach – This is a qualitative study conducted in all school districts in one Canadian province. Data were gathered through interviews of all district technology leaders and principals of two schools (per district) deemed exemplary in their use of technology for classroom learning; focus group sessions with stratified samples of teachers and all district-level program professionals in each district, and semi-structured observations of district-selected technology-savvy classrooms in two schools per district. Findings – The paper provides insights into the challenges of leading classroom innovation, including costs associated with technology acquisition and the provision of quality professional development. It reaffirms the continued relevance of the school principal while concomitantly confirming the inherent existence of distributed leadership within and across organizational boundaries that can facilitate or impede complex change. Finally, findings from this study serve as yet another reminder that the accumulated, rich evidence base regarding the process of leading and implementing complex innovation appears to be largely ignored by practitioners. Research limitations/implications – Because the research approach is qualitative and restricted to one defined population, the generalizability of this study may be limited. Practical implications – This paper draws attention to practical importance of fostering leadership from multiple sources and the need for reflection on how research evidence in education can better directed toward improved practice. Originality/value – Given the major public expenditures in the acquisition of new and emerging technology for public school classrooms, this paper may foster reflection for improved leadership and implementation practices. The paper anticipates that this work will contribute to a growing understanding of the distributed nature of school and school district leadership. Also, the paper believes it will help elucidate how current machinations of leadership might be adapted to facilitate the transformation of public school classrooms from primarily teacher-directed to predominately student-centered, technology-enhanced 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.099
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.020
Scholarly communication0.0120.005
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.113
GPT teacher head0.407
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations30
Published2014
Admission routes2
Has abstractyes

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