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Elevating Student Potential: Creating Digital Video to Teach Neurotransmission

机译:提升学生潜力:创建数字视频以教授神经传递

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摘要

Students today have unprecedented access to technology, the Internet, and social media. Their nearly ubiquitous use of these platforms is well documented. Given that today’s students may be primed to learn using a different medium, incorporating various technological elements into the classroom in a manner compatible with traditional approaches to teaching becomes a challenge.We recently designed and implemented a strategy that capitalized on this knowledge. Students in their first neuroscience course were required to create a 3–5 minute digital video using video-making freeware available on any Mac or PC. They used images, text, animation, as well as downloaded music to describe the fundamental process of neurotransmission as it applies to a topic of their choice. In comparison to students taught using other more traditional approaches to demonstrate the process of neurotransmission, we observed that students who took part in the video-making project exhibited better understanding of the neurological process at multiple levels, as defined by Bloom’s revised taxonomy. This was true even of students who had no aspirations of pursuing a Neuroscience career, thus suggesting that there was an overall increased level of student engagement regardless of personal career interests. The utility of our approach was validated by both direct and indirect assessments. Importantly, this particular strategy to teaching difficult concepts offers a high degree of flexibility allowing it to potentially be incorporated into any upper-level Neuroscience course.
机译:今天的学生可以前所未有地使用技术,互联网和社交媒体。他们几乎无所不在地使用了这些平台。鉴于当今的学生可能已经准备好使用另一种介质学习,因此以与传统教学方法兼容的方式将各种技术元素整合到教室中成为一项挑战。我们最近设计并实施了一种利用这种知识的策略。要求其第一门神经科学课程的学生使用可在任何Mac或PC上使用的视频制作免费软件来制作3-5分钟的数字视频。他们使用图像,文本,动画以及下载的音乐来描述神经传递的基本过程,因为该过程适用于他们选择的主题。与使用其他更传统的方法来演示神经传递过程的学生相比,我们观察到参加视频制作项目的学生表现出对神经过程的更好的理解,这是由Bloom修订的分类法所定义的。即使对于不追求神经科学职业的学生也是如此,因此表明无论个人职业兴趣如何,总体上学生参与度都有所提高。我们的方法的实用性通过直接和间接评估得到了验证。重要的是,这种用于教学困难概念的特殊策略提供了高度的灵活性,使其有可能被纳入任何高级神经科学课程。

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