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Novice to Expert: Pathways to Nurse Educator Certification

2023· article· en· W4366834255 on OpenAlexaboutno aff
Larry E. Simmons

Bibliographic record

VenueNursing Education Perspectives · 2023
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationCurriculumNursingMedical educationNurse educationCore competencyMedicinePsychologyPedagogyPolitical scienceManagement

Abstract

fetched live from OpenAlex

Since their original release in 2005, the NLN Core Competencies for Nurse Educators and Related Task Statements have provided a framework for curriculum development and revision in graduate nurse educator academic programs, faculty role descriptions, faculty evaluations, and research about nurse educator roles, among other uses (Halstead, 2019). The core competencies and task statements also provided a guide for the development of nurse education certification and the creation of the NLN Certified Nurse Educator (CNE®) program in 2005. The initial focus of the core competencies was on the role of the academic nurse educator. As our certification program expanded, there was an intentional focus on being inclusive of academic nurse educators at all levels of nursing education, including faculty from diploma, associate degree, and practical nursing programs. After reflection and many development activities, the Certified Academic Clinical Nurse Educator (CNEcl) and Certified Novice Nurse Educator (CNEn) certifications were added to our certification opportunities, creating a framework in line with Benner’s novice to expert model of nursing. CERTIFIED NURSE EDUCATOR The competencies were developed for nurse educators practicing in the full scope of the academic role. Since the inception of the CNE®n program, more than 14,000 nurse educators have achieved certification. Many changes in the program were also implemented, including changes in eligibility criteria and, importantly, the opening of the program to the international cadre of nurse educators, resulting in global nurse educator certification. The Board of Commissioners for the Certification Program now includes a Canadian commissioner and a commissioner from Saudi Arabia. CERTIFIED ACADEMIC CLINICAL NURSE EDUCATOR We launched CNE®cl certification in 2018. This certification is focused on academic clinical nurse educators who guide and teach nursing students in clinical experiences. These educators do not necessarily practice in the full scope of the role and do not have classroom or other faculty responsibilities (e.g., curriculum revision and committee work). At the present time, we have more than 500 clinical instructors certified. This year, we finished a new practice analysis and a new test plan for this certification. CERTIFIED NOVICE NURSE EDUCATOR In September 2022, the NLN made available a new certification aimed at novice nurse educators (CNE®n), defined as less than three years of nurse educator practice and with competencies leveled to the performance expected of faculty new to nursing education. This certification is a bit different from the others in that it is not renewable, but it opens the door for educators to become confident in the role. We currently have 220 certified novice educators who may wish to continue with CNEcl or CNE certification. AVAILABLE RESOURCES All of these certifications result from the work of task groups that developed the competencies and task statement based on the literature, validated the concepts with member feedback, and performed practice analyses that further validated the concepts, ensuring they are evidence based. The NLN offers useful publications containing in-depth information, including The Scope of Practice for Academic Nurse Educators (Christensen & Simmons, 2020) and Clinical Nurse Educator Competencies: Creating an Evidence-Based Practice for Academic Clinical Nurse Educators (Shellenbarger, 2019). A new edition of The Scope of Practice, to be published in 2023, will provide information on the development of novice educator certification and specific competencies and task statements. The work of practice analysis committees for each certification program will lead to a new practice analysis every five years, the certification program standard. Each certification has its own handbook, with specific detailed information available at NLN.org as follows: CNE, https://www.nln.org/certification/Certification-for-Nurse-Educators/cne; CNEcl, https://www.nln.org/certification/Certification-for-Nurse-Educators/cne-cl; and CNEn, https://www.nln.org/certification/Certification-for-Nurse-Educators/cne-n.

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)0.020
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.055
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.001
Science and technology studies0.0060.002
Scholarly communication0.0070.008
Open science0.0020.017
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0220.007

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 head0.094
GPT teacher head0.499
Teacher spread0.405 · 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 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".

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Citations1
Published2023
Admission routes1
Has abstractyes

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