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[以多媒体程序“犬类遗传性疾病——关节、骨骼、肌肉组织”为例对计算机辅助学习的评估]

[Evaluation of computer-aided learning illustrated by the multimedia program, "Hereditary diseases of the dog--joints, bones, musculature"].

作者信息

Petri S, Nolte I, Distl O

机构信息

Institut für Tierzucht und Vererbungsforschung der Tierärztlichen Hochschule Hannover.

出版信息

Dtsch Tierarztl Wochenschr. 2002 Oct;109(10):433-7.

Abstract

Results are presented on the evaluation of the interactive tutorial and information system "Hereditary diseases of the dog-joints, bones, musculature" which was developed at the Institute of Animal Breeding and Genetics and the Clinic for Small Animals at the School of Veterinary Medicine Hannover, aiming to improve the problem consciousness for the genetic background of most diseases of the musculoskeletal system of the dog. It addresses veterinarians, students of veterinary medicine and also dog breeders and owners. The programme offers extensive basic information about all known hereditary diseases of the joints, bones and muscles of the dog and gives also information on symptoms, diagnosis, therapy, distribution and genetics of the diseases. The user can apply it as a reference book, as a tutorial to complete or control his knowledge or to gain a fast overview of the up-to-date knowledge. The tutorial was evaluated by students in the second and third academic year, veterinary surgeons and dog breeders. Computer assisted learning was judged as very positive by all test persons. The programme received from all test persons an average score of 2.11 +/- 0.77 on a scale from 1 (very good) to 5 (unsatisfactory). The results show that computer-aided learning can be an effective and stimulating substitution to traditional learning and learning materials.

摘要

本文展示了对交互式教程和信息系统“犬类关节、骨骼、肌肉系统的遗传性疾病”的评估结果。该系统由汉诺威兽医学院动物育种与遗传学研究所及小动物诊所开发,旨在提高人们对犬类大多数肌肉骨骼系统疾病遗传背景的问题意识。它面向兽医、兽医学学生以及犬类饲养者和主人。该程序提供了关于犬类关节、骨骼和肌肉所有已知遗传性疾病的广泛基础信息,还给出了疾病的症状、诊断、治疗、分布及遗传学方面的信息。用户可以将其用作参考书,作为完成或检验自身知识的教程,或者快速了解最新知识的概览。该教程由二、三年级的学生、兽医和犬类饲养者进行了评估。所有测试人员对计算机辅助学习的评价都非常积极。在从1(非常好)到5(不满意)的评分量表上,该程序从所有测试人员那里获得的平均分为2.11 +/- 0.77。结果表明,计算机辅助学习可以成为传统学习和学习材料的一种有效且具有启发性的替代方式。

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