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Connecting Levels of Representation: Emergent versus submergent perspective

机译:代表性的联系水平:新兴与水下视角

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Chemical phenomena can be described using three representation modes: macro, submicro, and symbolic. The way students use and connect these modes when solving conceptual problems was studied, using a think-aloud interview protocol. The protocol was validated through interviews with six faculty members, and then applied to four graduate and six undergraduate chemistry students. We used a 'levels of complexity' framework to analyse responses: the macro and symbolic modes were considered system-level representations, and the submicro mode a component-level representation. We found that faculty members thought of system-level properties as emerging from mechanistic interactions between particles on the component level—an emergent perspective. In many cases, the students either failed to connect the system and component levels, or thought of system-level properties as guiding the behaviour of particles on the component level—a 'submergent' perspective. Some students used their familiarity with a symbolic equation describing the behaviour of a substance as the starting point of a thought process that leads them to impose mechanistically unwarrantable behaviour upon its particles. We concluded that a submergent perspective inhibits students from confronting their misconceptions regarding particle behaviour, and explains why students are often able to correctly solve algorithmic problems while failing to solve conceptual ones. It is suggested that the directionality of connecting particle behaviour to system-level properties should be emphasized in teaching.
机译:可以使用三种表示模式来描述化学现象:宏观,亚微观和象征性。研究人员使用了思考型面试协议,研究了学生在解决概念性问题时使用和连接这些模式的方式。该协议通过与六名教员的访谈进行了验证,然后应用于四名研究生和六名化学本科生。我们使用“复杂性级别”框架来分析响应:宏和符号模式被视为系统级别的表示,而亚微模式被视为组件级别的表示。我们发现,教职员工认为系统级属性是从组件级粒子之间的机械相互作用(一种新兴的观点)中出现的。在许多情况下,学生要么无法将系统和组件级别联系起来,要么将系统级别的属性视为指导粒子在组件级别上行为的“浸入式”视角。一些学生以熟悉的符号方程式描述物质的行为,以此作为思考过程的起点,从而导致他们将机械上不必要的行为强加于物质的颗粒上。我们得出的结论是,浸没式视角会阻止学生面对有关粒子行为的误解,并解释了为什么学生通常能够正确解决算法问题而又无法解决概念性问题。建议在教学中应强调将粒子行为与系统级属性联系起来的方向性。

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