Teaching an Instrumental Analysis Laboratory Course without Instruments During the COVID-19 Pandemic
Teaching an Instrumental Analysis Laboratory Course without Instruments During the COVID-19 Pandemic
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DOI：
10.1021/acs.jchemed.0c00648
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发表时间：
2020-09-08
影响因子：
3
通讯作者：
Dukes, Albert D., III
中科院分区：
文献类型：
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作者：
Dukes, Albert D., III
新冠肺炎大流行给各级教育系统带来了许多挑战。2020年3月，由于大流行，美国几乎所有的学院和大学都将所有教学转移到在线环境中。虽然这对所有教职员工构成了挑战，但对那些教授实验室课程的教职员工来说，这是一个特别的挑战。从本质上讲，实验室课程对学生来说是一种实践体验，将其转变为在线形式必然会改变学生在实验室体验中的行为。在这一反思中，将讨论将仪器分析实验室课程转换为在线形式所遇到的困难。为应对这些挑战而部署的想法包括向当前学生提供学生在前几年收集的数据，并为他们分配模拟，使他们能够收集自己的数据。使用的一些方法比其他方法更成功，但没有一种方法能够完全复制他们通过实际进入实验室并亲自进行分析所获得的经验。在尝试在在线环境中教授仪器分析的过程中，很明显，学生通常认为没有看到任何事情发生的停机时间对于他们对所收集的数据的理解非常重要。
The COVID-19 pandemic presented numerous challenges for all levels of the education system. In March 2020, virtually all colleges and universities in the United States moved all instruction to an online environment as a result of the pandemic. While this posed challenges for all faculty, it posed a particular challenge for those faculty members who taught laboratory courses. By their nature, laboratory courses are a hands-on experience for students, and shifting them to an online format will necessarily change what students will do during their laboratory experience. In this reflection, the difficulties that were encountered in switching an Instrumental Analysis lab course to an online format will be discussed. The ideas deployed to address these challenges included providing current students with data collected by students in previous years and assigning them simulations to allow them to collect their own data. Some of the methods employed were more successful than others, but none of them were able to completely replicate the experience they would have received by actually being in the lab and conducting the analysis themselves. In the process of attempting to teach Instrumental Analysis in an online environment, it has become obvious that the time that students typically perceive as downtime where they do not see anything happening is important to their understanding of the data they collect.