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Evaluating a Web-based Graduate Level Nursing Ethics Course: Thumbs Up or Thumbs Down?

2002· article· en· W207634791 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Continuing Education in Nursing · 2002
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsCourse (navigation)Medical educationPsychologyThumbEntry LevelMedicineEngineeringSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: This article discusses the course design, experiential findings, and evaluation of a Web-based course for graduate nurses examining professional health care practice and ethical issues. METHOD: Using course input and evaluative data, the article addresses student and teacher perceptions of use of a Web-based delivery mode for graduate level courses and the appropriateness of this ethics course for graduate level students. RESULTS: Evaluative data supported existing knowledge concerning pros and cons of Web-based education. New insights concerning the Web's ability to foster critical thinking skills and supports for continuing ethics education for nurses are reported. All students assessed this ethics course as being of considerable value to their professional practice. CONCLUSION: Students evaluated the pros of Web use for the course as far outweighing the cons. The students' substantial interest in and critical thinking about appropriate knowledge bases to underpin effective ethical decision-making strongly supports the need for continuing ethics education for practicing nurses.

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)0.040
metaresearch head score (Gemma)0.039
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0400.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.012
Insufficient payload (model declined to judge)0.0010.000

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 head0.403
GPT teacher head0.604
Teacher spread0.201 · 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