Making Concepts Material
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it