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Record W3029841721 · doi:10.1097/acm.0000000000003524

From Theory to Practice: The Application of Cognitive Load Theory to the Practice of Medicine

2020· article· en· W3029841721 on OpenAlexaff
Adam Szulewski, Daniel Howes, Jeroen J. G. van Merriënboer, John Sweller

Bibliographic record

VenueAcademic Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsQueen's University
Fundersnot available
KeywordsParallelsCognitionCognitive loadCognitive architectureLearning theoryProcess (computing)LIDACognitive sciencePsychologyCognitive psychologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Cognitive load theory has become a leading model in educational psychology and has started to gain traction in the medical education community over the last decade. The theory is rooted in our current understanding of human cognitive architecture in which an individual's limited working memory and unlimited long-term memory interact during the process of learning. Though initially described as primarily a theory of learning, parallels between cognitive load theory and broader aspects of medical education as well as clinical practice are now becoming clear. These parallels are particularly relevant and evident in complex clinical environments, like resuscitation medicine. The authors have built on these connections to develop a recontextualized version of cognitive load theory that applies to complex professional domains and in which the connections between the theory and clinical practice are made explicit, with resuscitation medicine as a case study. Implications of the new model for medical education are also presented along with suggested applications.

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)0.712
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.712
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.418
Teacher spread0.385 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations153
Published2020
Admission routes1
Has abstractyes

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