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Record W7071588118

Strengthening school leadership towards improved school resiliency: final technical report

2023· other· en· W7071588118 on OpenAlexfundno aff

Bibliographic record

VenueOpen Research Online (The Open University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsQuality (philosophy)CurriculumEducational leadershipMultidisciplinary approachQuality managementSet (abstract data type)Exploratory researchNarrative
DOInot available

Abstract

fetched live from OpenAlex

''Strengthening School Leadership Towards Improving School Resiliency” was a two-year interdisciplinary multi- country development research project exploring how the quality of school leadership could be strengthened as a means of improving education quality in under-resourced environments. The primary objective of the project was to understand whether use of a specific continuous improvement approach, Improvement Science (IS), supports sustainable change in the practices of school leaders. School leaders are acknowledged to have a critical role in improving the quality of teaching and learning within schools. Continuous improvement methods such as IS offer a set of ideas, tools, and practices which empower practitioners such as school leaders to take an active role in improvement, crafting a narrative which explains the improvement initiative and helping to remove obstacles and blockages in the improvement initiative, and other actions which move the institution towards its goals.
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\nThis exploratory multi-country research adopted a realistic evaluation (RE) framework to explore the use of IS with groups of school leaders in three contrasting contexts. The multidisciplinary research team collaborated with in-country partners across three continents: Chile – SUMMA (Laboratory of Education Research and Innovation for Latin America and the Caribbean); Kenya – Worldreader; the Philippines – FIT-ED (Foundation for Information Technology Education and Development). Despite the constraints of the COVID-19 pandemic in each setting, school leaders were recruited and improvement communities were established and guided to engage with the IS methodology through carrying out “Plan-Do-Study-Act” (PDSA) cycles on local challenges. Data was gathered on the experiences of the school leaders through their improvement science journeys using a range of qualitative research instruments including records of the PDSA activities.
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\nThe project offers a contribution to knowledge by offering emerging findings on how an amended IS methodology might be effectively utilized by school leaders working in under-resourced contexts. To date, there has been little utilization of the Improvement Science approach in low- or medium-income contexts; relevant prior research has all been undertaken in high-income contexts. Our analysis revealed that there can be clear benefits for schools when school leaders engage with the IS approach: changes in institutional practices, attitudes, and relationships are noted when conditions are favorable. The findings draw attention to the importance of the school leader improvement communities. They enable school leaders to develop a broader vision on their work and strengthen potential for further collaborations towards common goals. These are values and behaviors which support implementation of a continuous improvement approach.
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\nOur recommendations identify a number of issues for consideration in further research and implementation of the IS approach. Specifically, it is important to encourage school leaders to embrace continuous improvement as a core part of their leadership role. This may require changes in how school leaders enact their role. Practices such as team working, more consideration of different forms of data, and active experimentation are required for successful use of the IS approach. In addition, the IS approach will only be useful with particular kinds of problems. It needs to be used for small-scale change and improvements; it is not appropriate for tackling large or complex problems. From a development perspective, the use of IS methodology in education appears to offer the potential to shift towards more equitable dialogue between education partners when problem solving. It supports movement away from implementation of external “what works” solutions in schools and towards a legitimizing of the use of locally-driven small changes or adaptations that respond to highly specific local conditions and capabilities. It moves discussion from “this isn’t being implemented properly or with sufficient intensity” to “is this the most appropriate change for my institution?” The sharing of these local improvements with peers and other actors starts to point towards ways in which school leader collaboration could be harnessed for improvements in the quality of local education provision, in particular pedagogic change.
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\nThis research was undertaken in the highly fluid and dynamic environments of the pandemic; when rules and expectations were constantly shifting, and project partners (development practitioners, school leaders, and researchers) were experiencing the impact of COVID-19 in different ways. This led to a number of challenges and consequent changes in ways of working. For example, local authority stakeholders had reduced capacity to engage with the project, organizing meetings with the school leaders was difficult at times, and the IS approach required multiple team members to move outside their usual roles to become more enabling and less solution-focused.

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)0.012
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesOpen science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.011
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0270.026
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.0180.016

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 head0.324
GPT teacher head0.431
Teacher spread0.107 · 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; both teacher heads agree on what is shown here.

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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