首页> 美国卫生研究院文献>other >Learning with Interactive Computer Graphics in the Undergraduate Neuroscience Classroom
【2h】

Learning with Interactive Computer Graphics in the Undergraduate Neuroscience Classroom

机译:在本科神经科学课堂中使用交互式计算机图形学进行学习

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of adaptive exploration, in which exploration in a high fidelity graphical environment is integrated with immediate testing and feedback in repeated cycles of learning. The results of this study were that students considered the graphical learning environment to be superior to typical classroom materials used for learning neuroanatomy. Students managed the frequency and duration of study, test, and feedback in an efficient and adaptive manner. For example, the number of tests taken before reaching a minimum test performance of 90% correct closely approximated the values seen in more regimented experimental studies. There was a wide range of student opinion regarding the choice between a simpler and a more graphically compelling program for learning sectional anatomy. Course outcomes were predicted by individual differences in the use of the software that reflected general work habits of the students, such as the amount of time committed to testing. The results of this introduction into the classroom are highly encouraging for development of computer-based instruction in biomedical disciplines.
机译:神经解剖学的指导取决于图形表示和扩展的自学。因此,结合了交互式图形的基于计算机的学习环境应有助于该领域的教学。本研究在本科神经科学课堂上评估了这种系统。该系统使用了自适应探索的方法,其中在高保真图形环境中的探索与即时测试和重复学习周期中的反馈集成在一起。这项研究的结果是,学生认为图形学习环境优于用于学习神经解剖学的典型课堂材料。学生以有效和适应性强的方式管理学习,测试和反馈的频率和持续时间。例如,在达到90%的最低测试性能之前进行的测试次数正确地接近了在更严格的实验研究中看到的值。对于在学习截面解剖学的更简单和更具图形效果的程序之间进行选择,学生的意见广泛。通过使用软件的个人差异来预测课程结果,这些差异反映了学生的一般工作习惯,例如投入测试的时间。这种引入课堂的结果对于生物医学学科中基于计算机的教学的发展非常令人鼓舞。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号