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Record W7055288714

Change Management for School Leaders: Strategies for Implementing Change in School Settings

2021· other· en· W7055288714 on OpenAlexaboutno aff

Bibliographic record

VenueNational University System Repository (National University System) · 2021
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsChange management (ITSM)Principal (computer security)Work (physics)White paperQuality (philosophy)Behavior changeProcess (computing)Managing change
DOInot available

Abstract

fetched live from OpenAlex

Change frequently occurs in education, creating an environment where school leaders need to be skilled in the art of change management. To many, such as Crum and Sherman (2008), "Change is . . . an innate component of education . . . and something that principals must contend with as they work with their staff" (p. 575). Alberta Education (2020) outlined criteria required for visionary and instructional leadership, including "enabling positive change and fostering commitment to continuous improvement" (p. 3) with the goal of "[ensuring] every student has access to quality teaching and optimum learning experiences" (p. 4). O'Donnell and White (2005) outlined that the primary responsibility for school leaders "[was] to facilitate effective teaching and learning with the overall mission of enhancing student achievement" (p.56). O'Donnell and White (2005) elaborated students often achieved higher grades and more academic success when the principal delivered instructional leadership. Research demonstrates that school leaders that consider the impact of a change and the reason behind the change while encouraging input from stakeholders and thinking about the well-being of stakeholders most impacted by change seem to establish a more impactful change initiative. Consequently, the process and methodology of change directly impact the well-being of both staff and students in the system. When starting the change process, school leaders, skilled in the art of change management, ask questions such as, "Why is the change necessary; How much change needs to occur; Where should the change occur; [and] Who will participate in the change process" (Frontier & Rickabaugh, 2015, p. 1). The models of change examined in this capstone study include DuFour and DuFour's (2006) Professional Learning Communities at Work, Fullan's (2006) Change Theory, Kotter's (1995) Eight-Step Change Model, Baird and Clark's (2018) Look-Ahead Professional Development Model, and Shannon and Bylsma's (2007) Nine Characteristics of High Performing Schools. Each change model provides a framework that school leaders can use in various settings to initiate change in a more organized, thoughtful, and deliberate manner. An extensive literature review outlines promising models of change and practices when implementing institutional change. To answer questions concerning which change model to choose when implementing change and how to measure its impact, Chapter 2 outlines five different change models and provides information about how leaders measure change to determine its effects. Chapter 3 includes the implications of this capstone study and three recommendations concerning how Principals and senior education administration can approach change in a meaningful, long-lasting manner, with the goals of trust, developing leadership capacity, and creating sustainable change.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.042
GPT teacher head0.240
Teacher spread0.199 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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