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Record W7128326771

Motivation of nurses for academic education

2022· dissertation· cs· W7128326771 on OpenAlexaboutno aff
Simona FUNDOVÁ

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2022
Typedissertation
Languagecs
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsNurse educationQuarter (Canadian coin)Qualitative researchEmpirical researchAffect (linguistics)PersonalityHigher education
DOInot available

Abstract

fetched live from OpenAlex

In the presented diploma thesis we focus on three basic goals. The first goal is to map the interest of students in the field of Practical Nurse and in the study of nursing at universities and colleges. The second goal is to find out how students of Practical Nurse are interested in entering nursing practice. The third goal is focused on the interest of these students in entering the professions outside the medical fields. The theoretical part of the thesis describes some theories of motivation, education of nurses, the nursing profession, the personality of the nurse, the role of the nurse and the importance of higher education for nurses. The empirical part of the diploma thesis is created through quantitative and qualitative research. Research is focused on the future of Practical nurse students and factors that affect them in choosing universities or colleges. The quantitative research was conducted using a non-standardized anonymous questionnaire. Questionnaires were distributed to students at all secondary medical schools in the South Bohemian Region. A qualitative research survey was mediated through a semi-structured interview. Interviews were conducted with ten students who want to study nursing at a university or college. In the diploma thesis we came to several conclusions. We learned that more than half of our respondents want to continue their studies in nursing at a university or college. On the contrary, less than a quarter of respondents wants to start working. If students want to start working, in most cases they choose a profession as a practical nurse. The remaining part of respondents wants to study other fields at university or college. The main reason that leads respondents to study nursing at university is to increase qualifications and competencies. The work provides an overview and issues of the direction of students in the field of Practical Nurse. The results of the research survey can help universities and colleges to map the future direction of students in the field of Practical Nurse. Also factors that may occur at universities and colleges that influence students in choosing to study nursing at a university or college.

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)0.003
metaresearch head score (Gemma)0.011
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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.029
GPT teacher head0.408
Teacher spread0.379 · 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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