Exploration and Application of Three-stage Strengthening Mode based on Massive Open Online Course to Improve Students’ Competence in Electrocardiogram Interpretation Skills
Notice bibliographique
Résumé
Electrocardiogram (ECG) is a widely common diagnostic test in clinical practice. However, research has shown that residents and medical students cannot analyze ECG skillfully. In this study, we explore a three-stage strengthening mode based on massive open online course (MOOC) to improve students’ competence in ECG interpretation skills. We carry out the first stage in a diagnostics course, in which instructors adopted online and offline blended mode for the teaching method of ECG with clinical medicine students in grade 2018 based on MOOC. We compare scores of ECG interpretation skills for 91 students in grade 2018 with 81 students in grade 2016 to evaluate the effect. The second stage concerns studying internal medicine, in which we divide students in grade 2018 into two groups with 49 students in group A and 42 students in group B. Group A strengthened their ECG interpretation skills when learning about heart diseases. The third stage pertains to rotation in the internal medicine department in the internship period. Some students in group A continued to receive intensive training. Students in group B had no reinforcement arrangement in the second and the third stage. Students in grade 2018 took graduation tests at the end of their internship. We use the scores on ECG interpretation skills in the graduation examination to evaluate the strengthening effect between group A and group B. The result of the first stage shows that scores on ECG interpretation skills in the final exam in grade 2018 were 19.32 ± 4.62 points, which is higher than those of grade 2016, whose points were 16.89 ± 5.30 (total scores in both grades were 30 points). Difference is statistically significant. Scores on the graduation examination in group A were 38.89 ± 16.81 points, and those of group B were 26.86 ± 15.43 points (total score was 60 points), with statistical difference between these two groups. The three-stage strengthening mode based on ECG MOOC is an effective method to improve students’ ECG interpretation skills. Results show that an online and offline blended teaching strategy is superior to the traditional lecture method. Repeated practice is necessary for improving ECG interpretation competence. Students in the strengthening program group had better grades in the graduation examination.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».