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Record W4224254838 · doi:10.2196/36725

Simulation-Based Learning Supported by Technology to Enhance Critical Thinking in Nursing Students: Protocol for a Scoping Review

2022· review· en· W4224254838 on OpenAlexvenueno aff
Hege Vistven Stenseth, Simen A. Steindal, Marianne Trygg Solberg, Mia Alexandra Ølnes, Andréa Gomes da Costa Mohallem, Anne Lene Sørensen, Camilla Strandell‐Laine, Camilla Olaussen, Caroline Farsjø Aure, Fernando Riegel, Ingunn Pedersen, Jaroslav Zlámal, Jussara Gue Martini, Paula Bresolin, Silje Christin Wang Linnerud, Andréa Aparecida Gonçalves Nes

Bibliographic record

VenueJMIR Research Protocols · 2022
Typereview
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsnot available
FundersLovisenberg Diakonale Høgskole
KeywordsPsycINFOSystematic reviewCritical thinkingMEDLINEProtocol (science)Medical educationPsychologyNursingComputer scienceMedicineAlternative medicinePedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Critical thinking is a crucial skill in the nursing profession, so teaching strategies and methodology must be carefully considered when training and preparing nursing students to think critically. Studies on simulation-based learning supported by technology are increasing in nursing education, but no scoping reviews have mapped the literature on simulation-based learning supported by technology to enhance critical thinking in nursing students. OBJECTIVE: The proposed scoping review aims to systematically map research on the use of simulation-based learning supported by technology to enhance critical thinking in nursing students. METHODS: The proposed scoping review will use the framework established by Arksey and O'Malley and will be reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) extension for scoping reviews. A systematic, comprehensive literature search was performed in the LILACS, ERIC, MEDLINE, EMBASE, PsycINFO, and Web of Science databases. Pairs of authors independently selected the articles by screening titles, abstracts, full-text papers, and extract data. The data will be analyzed and thematically categorized. RESULTS: The development of a comprehensive and systematic search strategy was completed in June 2021. The database searches were performed in July 2021, and the screening of titles and abstracts was completed in September 2021. Charting the data began in February 2022. Analysis and synthesis will be performed sequentially, and the scoping review is expected to be complete by May 2023. CONCLUSIONS: The results of this proposed scoping review may identify gaps in the literature and provide an overview of research on the topic of simulation-based learning supported by technology to enhance critical thinking in nursing students. The research may identify nursing students' reported barriers and enablers for learning critical thinking skills through simulation-based learning supported by technology, and the results may help educators enhance their educational approach through knowledge of students' firsthand experiences and further development of successful teaching strategies in nursing education. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36725.

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)0.007
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.475
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.425
GPT teacher head0.750
Teacher spread0.325 · 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.

Study designSystematic review
Domainnot available
GenreProtocol

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

Citations40
Published2022
Admission routes1
Has abstractyes

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