The Shrewd Guess: Can a Software System Assist Students in Hypothesis-Driven Learning for Organic Chemistry?

The Shrewd Guess: Can a Software System Assist Students in Hypothesis-Driven Learning for Organic Chemistry?
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精明的猜测:软件系统可以帮助学生进行有机化学的假设驱动学习吗?

DOI:
10.1021/acs.jchemed.0c00246
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发表时间:
2020
影响因子:
3
通讯作者:
Yee, Lawrence J.
Yee, Lawrence J.
中科院分区:
化学2区
文献类型:
--
作者:
Winter, Julia E.;Engalan, Joseph;Wegwerth, Sarah E.;Manchester, Gianna J.;Wentzel, Michael T.;Evans, Michael J.;Kabrhel, James E.;Yee, Lawrence J.

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在有机化学课程中指导学生教学的机理图是将反应物转化为产物的键断裂和键生成事件的结构表示。对于学生来说,这些由电子推动形式主义(EPF)表示的途径可能具有挑战性。对于教师来说,提供形成性反馈给学生,以支持他们的学习EPF箭头系统是很难及时提供。机制应用程序(“应用程序”)是为学生开发的一种方法,通过智能手机或平板电脑的触摸屏界面探索有机化学的电子运动,并实时反馈这些运动。在本文中,教学内容的应用程序及其后端系统进行了描述。该系统生成用户在App内移动的图形记录,称为决策树。设计了一项关于学生在两种不同模式下使用App的研究,以了解App内的体验是否可以促进假设驱动的EPF学习方法。还描述了应用程序在各种机构和未来研究的课堂实施的例子。
The mechanism maps that guide student instruction in organic chemistry curricula are structural representations of bond-breaking and bond-making events that transform a reactant into a product. For students, these pathways represented by electron pushing formalism (EPF) can be challenging to navigate. For instructors, providing formative feedback to students to support their learning of the EPF arrow system is difficult to provide in a timely manner. The Mechanisms App (“the App”) was developed as a method for students to explore the electron movement of organic chemistry through a touch screen interface of a smart phone or tablet with real-time feedback of these moves. In this paper, the pedagogical content of the App and its backend system is described. This system produces a graphical record of a user’s move within the App and is called a decision tree. A study of students’ use of the App in two different modes was devised to understand whether the in-app experience can facilitate a hypothesis-driven approach to learning EPF. Examples of classroom implementation for the App in a variety of institutions and future research are also described.
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