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Record W2958463356 · doi:10.2196/13748

Impact of Using a 3D Visual Metaphor Serious Game to Teach History-Taking Content to Medical Students: Longitudinal Mixed Methods Pilot Study

2019· article· en· W2958463356 on OpenAlexvenueno aff
Hussain Alyami, Mohammed Alawami, Mataroria Lyndon, Mohsen Alyami, Christin Coomarasamy, Marcus A. Henning, Andrew Hill, Frederick Sundram

Bibliographic record

VenueJMIR Serious Games · 2019
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative propertyPsychologyCognitionMedical educationQualitative researchApplied psychologyComputer scienceMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: History taking is a key component of clinical practice; however, this skill is often poorly performed by students and doctors. OBJECTIVE: The study aimed to determine whether Metaphoria, a 3D serious game (SG), is superior to another electronic medium (PDF text file) in learning the history-taking content of a single organ system (cardiac). METHODS: In 2015, a longitudinal mixed methods (quantitative and qualitative) pilot study was conducted over multiple sampling time points (10 weeks) on a group of undergraduate medical students at The University of Auckland Medical School, New Zealand. Assessors involved in the study were blinded to group allocation. From an initial sample of 83, a total of 46 medical students were recruited. Participants were assigned to either a PDF group (n=19) or a game group (n=27). In total, 1 participant left the PDF group after allocation was revealed and was excluded. A total of 24 students in the game group and 14 students in the PDF group completed follow-up 7 weeks later. Using an iterative design process for over a year, with input from a variety of clinical disciplines, a cardiac history-taking game and PDF file were designed and informed by Cognitive Load Theory. Each group completed its intervention in 40 min. A total of 3 levels of Kirkpatrick training evaluation model were examined using validated questionnaires: affective (perception and satisfaction), cognitive (knowledge gains and cognitive load), and behavioral attitudes (Objective Structured Clinical Exam) as well as qualitative assessment. A priori hypotheses were formulated before data collection. RESULTS: Compared with baseline, both groups showed significant improvement in knowledge and self-efficacy longitudinally (P<.001). Apart from the game group having a statistically significant difference in terms of satisfaction (P<.001), there were no significant differences between groups in knowledge gain, self-efficacy, cognitive load, ease of use, acceptability, or objective structured clinical examination scores. However, qualitative findings indicated that the game was more engaging and enjoyable, and it served as a visual aid compared with the PDF file. CONCLUSIONS: Students favored learning through utilization of an SG with regard to cardiac history taking. This may be relevant to other areas of medicine, and this highlights the importance of innovative methods of teaching the next generation of medical students.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.084
GPT teacher head0.465
Teacher spread0.381 · 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 designObservational
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

Citations28
Published2019
Admission routes1
Has abstractyes

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