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计算机辅助学习:兽医虚拟解剖学教育软件IVALA™的评估

Computer Assisted Learning: Assessment of the Veterinary Virtual Anatomy Education Software IVALA™.

作者信息

Little William Brady, Artemiou Elpida, Conan Anne, Sparks Cathryn

机构信息

Department of Biomedical Sciences, Ross University School of Veterinary Medicine, P.O. Box 334, Basseterre, Saint Kitts and Nevis.

College of Veterinary Medicine, Kansas State University, 228 Coles Hall 1620 Denison Ave, Manhattan, KS 66506, USA.

出版信息

Vet Sci. 2018 Jun 19;5(2):58. doi: 10.3390/vetsci5020058.

Abstract

Although cadaveric dissection has historically been the cornerstone of anatomical education, it comes at the cost of some emotional, moral, safety, and environmental concerns. Computer assisted learning (CAL) programs are an increasingly common solution to these issues; however, research regarding the efficacy of high fidelity simulation is limited. The traditional first semester veterinary gross anatomy course curriculum at Ross University School of Veterinary Medicine (RUSVM) was supplemented with a web based virtual anatomy program, IVALA™ (www.ivalalearn.com). The purpose of this study was to assess the relationship between supplementary use of the IVALA™ program and student examination scores, and to measure student perception surrounding IVALA™. IVALA™ uses an interactive virtual canine specimen that enables students to identify, move, rotate, magnify, and remove individual anatomic structures while providing a text description of each selected anatomic point. Fifty-six first semester RUSVM students who supplemented their anatomic learning with the IVALA™ program performed significantly higher on examinations compared to students (n = 123) that did not ( = 0.003). Students’ overall perception toward IVALA™ was enjoyable (mean = 3.8 out of a 5-point Likert scale) and beneficial to their knowledge of anatomy (mean = 3.7); however, students did not support replacing cadaveric dissection with CAL (mean = 2.1). CAL can effectively supplement learning outcomes for veterinary anatomy.

摘要

尽管尸体解剖在历史上一直是解剖学教育的基石,但它伴随着一些情感、道德、安全和环境方面的问题。计算机辅助学习(CAL)程序是解决这些问题越来越常见的方法;然而,关于高保真模拟效果的研究有限。罗斯大学兽医学院(RUSVM)传统的第一学期兽医大体解剖学课程补充了一个基于网络的虚拟解剖程序IVALA™(www.ivalalearn.com)。本研究的目的是评估IVALA™程序的补充使用与学生考试成绩之间的关系,并衡量学生对IVALA™的看法。IVALA™使用交互式虚拟犬类标本,使学生能够识别、移动、旋转、放大和移除单个解剖结构,同时提供每个选定解剖点的文本描述。与未使用IVALA™程序的学生(n = 123)相比,56名使用IVALA™程序补充解剖学学习的RUSVM第一学期学生在考试中的表现显著更高(P = 0.003)。学生对IVALA™的总体看法是愉快的(5分制李克特量表平均分为3.8),对他们的解剖学知识有益(平均分为3.7);然而,学生不支持用CAL取代尸体解剖(平均分为2.1)。CAL可以有效地补充兽医解剖学的学习成果。

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