A novel electronic assessment strategy to support applied Drosophila genetics training in university courses.
A novel electronic assessment strategy to support applied Drosophila genetics training in university courses.
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一种新型的电子评估策略，以支持大学课程中应用的果蝇遗传学培训。
DOI：
10.1534/g3.115.017509
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发表时间：
2015-02-25
期刊：
影响因子：
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通讯作者：
Prokop A
中科院分区：
文献类型：
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作者：
Fostier M;Patel S;Clarke S;Prokop A
“组学”技术的出现已经彻底改变了遗传学，并产生了将经典遗传学集中于其当今应用的需求（Redfield，2012，PLoS Biol 10：e1001356）。这种需求可以通过训练学生果蝇交配方案设计来满足，这是一种重要的解决问题的技能，经常应用于许多现代研究实验室。它促进了对经典遗传学规则的透彻理解和应用，并介绍了转基因技术和模式生物的使用。正如我们在这里所展示的，这种培训可以通过使用我们以前出版的为苍蝇研究人员设计的培训包（Roote和Prokop，2013，G3（Bethesda）3：353−358）作为一个灵活而简洁的模块（约1天的家庭学习，约8小时的课程时间）在大学课程中实施。然而，很难对这种培训进行评估，使其成为经认证的课程内容，特别是在大型课程中。在这里，我们提出了一个强大的评估策略的基础上，一个新的混合概念，学生解决交叉任务最初在纸上，然后回答自动标记的问题在计算机上（1.5小时）。这个程序可以用来检查学生的表现更复杂的任务比传统的电子评估，是更通用，节省时间，比标准的基于纸张的作业更公平。我们的评估表明，混合评估是有效的，可靠地检测不同程度的学生之间的理解。它也可能适用于需要解决复杂问题的其他学科，如数学，化学，物理或信息学。在此，我们详细描述了我们的战略，并提供了实施这些战略所需的所有资源。
The advent of “omic” technologies has revolutionized genetics and created a demand to focus classical genetics on its present-day applications (Redfield, 2012, PLoS Biol 10: e1001356). This demand can be met by training students in Drosophila mating scheme design, which is an important problem-solving skill routinely applied in many modern research laboratories. It promotes a thorough understanding and application of classical genetics rules and introduces to transgenic technologies and the use of model organisms. As we show here, such training can be implemented as a flexible and concise module (~1-day home study, ~8-hour course time) on university courses by using our previously published training package designed for fly researchers (Roote and Prokop, 2013, G3 (Bethesda) 3: 353−358). However, assessing this training to make it an accredited course element is difficult, especially in large courses. Here, we present a powerful assessment strategy based on a novel hybrid concept in which students solve crossing tasks initially on paper and then answer automatically marked questions on the computer (1.5 hours total). This procedure can be used to examine student performance on more complex tasks than conventional e-assessments and is more versatile, time-saving, and fairer than standard paper-based assignments. Our evaluation shows that the hybrid assessment is effective and reliably detects varying degrees of understanding among students. It also may be applicable in other disciplines requiring complex problem solving, such as mathematics, chemistry, physics, or informatics. Here, we describe our strategies in detail and provide all resources needed for their implementation.