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Record W7112534213

Experiences of Northern Ontario Nurse Educators in Adapting Teaching Methods

2025· article· W7112534213 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks (Walden University) · 2025
Typearticle
Language
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsNurse educationBachelorAccreditationQualitative researchLifelong learningNurse educatorProfessional developmentTeaching methodPreceptor
DOInot available

Abstract

fetched live from OpenAlex

Nursing education is evolving, requiring educators to adapt teaching methods due to advances in technology, pedagogy, and accreditation standards. In Northern Ontario, geographic and resource limitations make this adaptability critical for ensuring equitable, high-quality education. Guided by Lewin’s change theory, this qualitative phenomenological study examined how Bachelor of Science in Nursing (BScN) nursing educators in Northern Ontario adapted their teaching practices to these evolving demands. Six full-time educators teaching in BScN programs with at least 3 years of recent nursing education experience using synchronous instructional methods participated in semistructured qualitative interviews. Data were analyzed using Saldaña’s coding framework. Four themes emerged from the analysis: recognizing the need to change methods, implementing active and student-centered approaches, adopting contemporary student-focused strategies, and embracing lifelong learning and reflective growth. Despite barriers such as underfunding and limited professional development, participants demonstrated resilience and innovation through collaborative, low-cost practices that enhanced student engagement and fostered professional renewal. The implications for positive social change include the potential for nursing educators to apply innovative, student-centered practices to improve outcomes, expand equitable access, and foster professional growth. Findings may also guide regionally responsive policy development to support sustainable nursing education in Northern Ontario and other underresourced contexts.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.015
GPT teacher head0.317
Teacher spread0.302 · 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
Published2025
Admission routes1
Has abstractyes

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