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Record W3123223312 · doi:10.1097/sih.0000000000000543

Making Concepts Material: A Randomized Trial Exploring Simulation as a Medium to Enhance Cognitive Integration and Transfer of Learning.

2021· article· en· W3123223312 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

VenuePubMed · 2021
Typearticle
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsThe Wilson Centre
Fundersnot available
KeywordsComputer scienceCognitionCognitive loadConceptual modelKnowledge retentionKnowledge transferFidelityProcedural knowledgeConceptual frameworkMediationPsychologyKnowledge managementDomain knowledgeMedical educationMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Simulation affords opportunities to represent functional relationships between conceptual (eg, anatomy) and procedural knowledge (eg, needle insertion technique) in ways that make them accessible to our many senses. Despite deprioritizing realism, such simulations may encourage trainees to create cognitive connections between these knowledge (ie, cognitive integration), which may improve transfer of learning. However, the impact of such "integrated instruction" has not been examined in simulation-based training. We developed integrated video- and simulator-based instructional modules for lumbar puncture training and compared their impacts on participants' retention, transfer, and conceptual knowledge. METHODS: During 1 hour of simulation-based training, we randomized 66 medical students to receive either (a) video-based procedural-only instruction, (b) integrated video-based instruction, or (c) integrated simulator-based instruction. One week later, we tested participants' retention and transfer performances and their conceptual knowledge on a written test. RESULTS: Simple mediation analyses revealed that compared with participants receiving procedural-only instruction, participants receiving integrated instruction had superior retention and transfer outcomes, mediated by gains in conceptual knowledge (all P < 0.01). We found no significant differences between the integrated groups for retention, transfer, or conceptual knowledge (all P > 0.01). CONCLUSIONS: We extended previous findings, showing integrated instruction (video- or simulator-based) improved trainees' conceptual knowledge, which mediated their improved retention and transfer. As an innovation, we demonstrated how simulators can facilitate cognitive integration by making abstract conceptual-procedural relationships material. In suggesting how researchers might capitalize further on simulator-based integration, we offer an alternative framework for designing simulations that emphasizes cognitive processes rather than simulator fidelity.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.098
GPT teacher head0.401
Teacher spread0.304 · 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