MétaCan
Menu
Back to cohort
Record W4386260371 · doi:10.2196/49372

Health Care and Social Work Students’ Experiences With a Virtual Reality Simulation Learning Activity: Qualitative Study

2023· article· en· W4386260371 on OpenAlexvenueno aff
Nikolina Helle, Miriam Dubland Vikman, Tone Dahl‐Michelsen, Silje Stangeland Lie

Bibliographic record

VenueJMIR Medical Education · 2023
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsnot available
FundersVID vitenskapelige høgskole
KeywordsFacilitatorThematic analysisFocus groupVirtual realityPsychologyNurse educationQualitative researchInstructional simulationHealth careHarmMedical educationComputer sciencePedagogyMedicineHuman–computer interactionSocial psychologySociology

Abstract

fetched live from OpenAlex

BACKGROUND: Virtual reality is used to an increasing extent in various fields and is now making inroads into health and social education. Virtual reality simulation can provide a safe and controlled environment for students to practice and master skills that are transferable to real-world situations without putting patients, clients, or themselves at risk of any harm. Virtual reality simulation using 360° videos represents a novel approach to simulation in health care and social work education, and this inspired our interest in exploring students' experiences with such a learning activity. OBJECTIVE: The aim of this study was to explore occupational therapy, social education, nursing, and social work students' experiences with virtual reality simulation as a learning activity in an interdisciplinary subject. METHODS: The data were collected through 6 semistructured focus groups with 28 students. We conducted the focus groups after the students from the 4 education programs had participated in the virtual reality simulation at 3 campuses at a specialized university in Norway. Each focus group interview was facilitated by 1 moderator and 1 facilitator, a combination of experienced researchers and novices. We followed a qualitative design using the 6-step thematic analysis described by Braun and Clarke. RESULTS: The analysis revealed 3 overall themes for students' experiences with the virtual reality simulation. The first theme, 360° videos provide observations for individual learning, illustrates how learning can take place through the students' experiences with sensory inputs and observations from the 360° videos. Students experienced that the video enabled them to individually reflect and achieve learning from what was considered a clinically relevant video. The second theme, 360° videos activate emotional learning, demonstrates how the students experienced emotional engagement when watching the 360° videos. The degree of realism provided in the video was considered as important for the students' learning. The last theme, Debrief sessions enhance comprehensive learning, pinpoints how the students experienced learning through reflective discussions with other students after watching the 360° videos. Students claimed this process to be a vital part of the learning activity. CONCLUSIONS: Virtual reality simulation represents a promising learning activity to enhance the professional learning of health care and social work students. It offers opportunities for individualized learning through observations, and it also engages students emotionally in the learning process. The combination of 360° videos and group discussions in virtual reality appears promising to enhance professional learning outcomes and competence, which may contribute to improved health care and social work services.

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)0.001
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.045
GPT teacher head0.469
Teacher spread0.423 · 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

Citations23
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Medical EducationSame topicVirtual Reality Applications and ImpactsFrench-language works237,207