1. Evaluation of veterinary students' suture performance according to three different instructional modalities.
- Author
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Nocera, Irene, Vitale, Valentina, Conte, Giuseppe, Sgorbini, Micaela, and Barsotti, Giovanni
- Subjects
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VETERINARY students , *TEACHING methods , *SUTURES , *SELF-evaluation , *COGNITIVE styles , *COMPUTER assisted instruction , *SUTURING , *ARACHNOID cysts - Abstract
Background: Higher education attempts to ameliorate the learning experience through match between learning subjects and students' learning styles. Aim: This study evaluates the efficacy of three different instructional modalities aimed at teaching veterinary students how to make simple suture knots. Methods: A cohort of 43 fourth-year students were split into 3 groups and provided with different instructional modalities: presentation with pictures and descriptions, hard copy text, and muted video. The student's surgical simulation performance was evaluated. Then, they answered a 23 question-survey, Fleming VARK questionnaire based, investigating their learning profile. Kruskal Wallis test evaluated different instructional modalities effect on student's performance. The chi-square test assessed differences between instructional modalities and learning profiles, profile self evaluation, and training session comprehension. Results: Students showed auditory unimodal VARK profile (16/43), did not know their learning profile (26/43), and favored personalized teaching strategies (43/43). No differences were found for: surgical performance, except for forceps handling; and between instructional modalities: either for learning profiles (p-value = 0.43), or profile self evaluation (p-value = 0.42). Differences were found between instructional modalities and training session comprehension. As limitations, auditory instructional modalities, participants' age, and gender were not recorded or evaluated. Conclusion: Our study provides feedback on modern teaching modalities in which students play a key role. Participants showed a variety of learning profiles although displaying no significant performance differences. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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