MétaCan
Menu
Back to cohort
Record W3138348692 · doi:10.5430/jnep.v11n7p1

Equitable academic preparation: A structured onboarding program for incoming graduate nursing students

2021· article· en· W3138348692 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Nursing Education and Practice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicE-Learning and COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsOnboardingMedical educationDocumentationNurse educationPsychologyNursing researchSocializationQualitative researchProcess (computing)NursingClass (philosophy)PedagogyMedicineSociologyComputer science

Abstract

fetched live from OpenAlex

Background and objective: Nurses who return to school to obtain higher education come with varying levels of professional, educational and technological competencies. Some are new graduates, others have not been in school for a decade, and several find educational technology difficult to navigate. Returning to school can be challenging because graduate programs require complex skills in order for students to succeed. Onboarding, the process of organizational socialization, also known as the orientation process, is a relevant element in the retention and progression of students in graduate education. Onboarding differs from school to school, ranging from half a day to a weeklong on-campus orientation. This research is about a structured onboarding program built into a graduate nursing course and specifically addresses the needs of students in order to succeed in their studies. This research presents insights into the Graduate Student Onboarding – Professional Development Program (GSO-PDP), a structured onboarding designed to assist graduate nursing students with their adjustment back to school, enhance their learning, and achieve their graduate degree successfully. It is built into the Nursing Informatics class and is a month-long process. The research offers some understanding of the usefulness of the GSO-PDP to incoming graduate nursing students.Methods: The study uses the qualitative paradigm, in particular, a case study design. This is an examination of the four modules of the GSO-PDP: Elements of Research, Scholarly Writing and Nursing Documentation, Academic Support Services, and Student Life. Student volunteers participated in focus group interviews to evaluate the program. Results: The following were recurring themes identified from focus group interviews: “APA Refresher Overload,” “Bridging the Gap,” “Relearning English Grammar,” “Navigating the Learning and University Maze,” and “Not Really Computer Savvy.” It is evident that most of the elements of the GSO-PDP are beneficial to students in enhancing their adjustment and return to school for further education. The onboarding program also facilitates and enhances student learning. Focus group participants offered some helpful recommendations to improve the program.Conclusions & Implications: This is an innovative and structured onboarding approach to help students with diverse backgrounds to succeed in the Master’s program. Participants generally described the program favorably, but did make suggestions for improvement.

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.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.185
GPT teacher head0.570
Teacher spread0.384 · 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