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Record W2106462749 · doi:10.5430/jnep.v4n7p156

How nursing students perform in problem-based learning tutorials-A South African perspective

2014· article· en· W2106462749 on OpenAlexvenueno aff
Melanie Lack, Judith Bruce

Bibliographic record

VenueJournal of Nursing Education and Practice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsFacilitatorSample (material)Medical educationPopulationProblem-based learningPerspective (graphical)PsychologyNursingDreyfus model of skill acquisitionMedicineMathematics educationComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Background: Problem-based learning tutorials are considered the main vehicle for nursing students to acquire the skills needed to deal with the complexities of nursing practice. How students’ perform in these tutorials is an important measure of their learning development and skill acquisition. Purpose: The purpose of this two phased study was to determine and compare the performance of undergraduate nursing students in Problem-based Learning (PBL) tutorials using a validated evaluation instrument. In Phase-1 of the study the instrument was validated which led to the development of the computer-based: Tutorial Performance Evaluator (TPE). In Phase-2 the performance of undergraduate nursing students in PBL tutorials was assessed and described through the use of this instrument by the students and their facilitators. Methods: A cross-sectional, comparative design was used employing two sample sets: the first sample consisted of a cross-section of the total population of undergraduate nursing students (N = 53) in their first-year to fourth-year of study in a four year Bachelors degree. The second sample comprised the total population of facilitators (N = 6), who were directly involved in facilitating PBL tutorials. A computer-based TPE with seven main-items (skills) and 34 sub-items was used to elicit data on students’ self-assessment and facilitator-assessment of tutorial performance. Mean tutorial performance scores were calculated; correlations were drawn between student and facilitator scores and comparisons were made between the different years of study and within the main items to evaluate progress in skill acquisition. Results: Major findings included notable differences between facilitator-assessment and self-assessment together with a poor performance in all seven constructs on the evaluation instrument amongst first-year students. There was a significant improvement in the mean tutorial performance score from 27% in first-year students to 87% in fourth-year students. Conclusions: The findings suggest that first-year students struggle with PBL and a recommendation is to consider alternative educational strategies to prepare first year students for PBL.

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)0.004
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.690
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
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 head0.061
GPT teacher head0.444
Teacher spread0.383 · 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.

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

Citations4
Published2014
Admission routes1
Has abstractyes

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