McGreevy Paul, Shaw Tim, Burn Daniel, Miller Nick
Faculty of Verterinary Science B19, University of Sydney, NSW 2006 Australia.
J Vet Med Educ. 2007 Fall;34(4):510-6. doi: 10.3138/jvme.34.4.510.
As part of a strategic move by the University of Sydney toward increased flexibility in learning, the Faculty of Veterinary Science undertook a number of developments involving Web-based teaching and assessment. OLIVER underpins them by providing a rich, durable repository for learning objects. To integrate Web-based learning, case studies, and didactic presentations for veterinary and animal science students, we established an online library of images and other learning objects for use by academics in the Faculties of Veterinary Science and Agriculture. The objectives of OLIVER were to maximize the use of the faculty's teaching resources by providing a stable archiving facility for graphic images and other multimedia learning objects that allows flexible and precise searching, integrating indexing standards, thesauri, pull-down lists of preferred terms, and linking of objects within cases. OLIVER offers a portable and expandable Web-based shell that facilitates ongoing storage of learning objects in a range of media. Learning objects can be downloaded in common, standardized formats so that they can be easily imported for use in a range of applications, including Microsoft PowerPoint, WebCT, and Microsoft Word. OLIVER now contains more than 9,000 images relating to many facets of veterinary science; these are annotated and supported by search engines that allow rapid access to both images and relevant information. The Web site is easily updated and adapted as required.
作为悉尼大学朝着提高学习灵活性方向迈出的战略举措的一部分,兽医学院开展了多项涉及网络教学与评估的发展工作。OLIVER通过为学习对象提供丰富、持久的资源库来支持这些工作。为了将网络学习、案例研究以及针对兽医和动物科学专业学生的教学演示进行整合,我们为兽医学院和农业学院的学者建立了一个图像及其他学习对象的在线图书馆。OLIVER的目标是通过为图形图像和其他多媒体学习对象提供一个稳定的存档设施,来最大限度地利用学院的教学资源,该设施允许灵活且精确的搜索,整合索引标准、叙词表、首选术语下拉列表以及案例中对象的链接。OLIVER提供了一个便于携带且可扩展的基于网络的框架,有助于以多种媒体形式持续存储学习对象。学习对象可以以通用的标准化格式下载,以便能够轻松导入到一系列应用程序中使用,包括Microsoft PowerPoint、WebCT和Microsoft Word。OLIVER目前包含9000多张与兽医学多个方面相关的图像;这些图像由搜索引擎进行注释和支持,能够快速访问图像及相关信息。该网站可根据需要轻松更新和调整。