Abstract
Objective: ECG interpretation is prone to errors that can lead to relevant misdiagnoses and incorrect treatment. Prompts are one way in lectures to encourage learning from one's own mistakes and to reduce error rates. Prompts are measures such as questions, hints, and suggestions of content-related or metacognitive nature, which can lead to self-explanation in the learner and thus to a deeper understanding of an issue. The aim of the study was therefore to investigate whether the use of prompts can reduce the error rate in ECG interpretation among students. Method: In a 2x2 experimental test and control group design, N=100 final year medical students carried out ECG interpretation tasks in the form of online case vignettes in CASUS (R). In these tasks, justification prompts (B) and error analysis prompts (F) were systematically varied in four groups and the learning success was measured using a knowledge test. In addition, prior knowledge in ECG interpretation, motivation, interest in the topic, subjective confidence in ECG interpretation, and cognitive load was collected. Results: Neither error analysis prompts nor justification prompts had a significant effect on the correct ECG interpretation by students, F(1,96)=1.03, p=.31. Justification prompts seemed to have a positive effect on the confidence of answering the questions, F(1,96)=10.15, p=.002, partial eta(2) =.10;and a negative effect on student motivation, F(1,96)=8.13 , p=.005, partial eta(2) =.08;but both with comparable diagnostic accuracy. Conclusion: The present study could not confirm the positive effects of prompts on the error rate in ECG interpretation reported in the literature but showed significant effects on subjective confidence and motivation which should be investigated in further studies.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 2366-5017 |
Sprache: | Englisch |
Dokumenten ID: | 87362 |
Datum der Veröffentlichung auf Open Access LMU: | 25. Jan. 2022, 09:23 |
Letzte Änderungen: | 25. Jan. 2022, 09:23 |