The Enactive equation: Exploring How Multiple External Representations are Integrated, Using a Fully Controllable Interface and Eye-Tracking

Rwitajit Majumdar, Aditi Kothiyal, Ajit Ranka, Prajakt Pande, S. Murthy, Harshit Agarwal, S. Chandrasekharan
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引用次数: 11

Abstract

Representational competence (RC), defined as "the ability to simultaneously process and integrate multiple external representations (MERs) in a domain", is a marker of expertise in science and engineering. However, the cognitive mechanisms underlying this ability and how this ability develops in learners, is poorly understood. In this paper, we report a fully controllable interface, designed to help school students develop RC. Further, as the design emerged from the application of distributed and embodied cognition theory to the RC problem, the design also seeks to shed light on the cognitive mechanisms underlying the integration of MERs. Here we report a preliminary eye and mouse tracking study, which sought to develop a detailed understanding of how students interacted with our interface, under self and text-guided exploration conditions. We also examined how the interaction process related to students' ability to integrate the representations in the interface. Results highlighted several desirable student behaviors, and potential points of modification of the interface to improve integration of MERs.
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动态方程:探索多重外部表征如何集成,使用一个完全可控的界面和眼动追踪
表征能力(representation competence, RC)被定义为“在一个领域内同时处理和整合多个外部表征(MERs)的能力”,是科学和工程领域专业知识的标志。然而,这种能力背后的认知机制以及这种能力在学习者中是如何发展的,人们知之甚少。在本文中,我们报告了一个完全可控的接口,旨在帮助学生开发RC。此外,由于该设计源于对RC问题的分布式和具身认知理论的应用,该设计还试图阐明MERs集成背后的认知机制。在这里,我们报告了一项初步的眼睛和鼠标跟踪研究,该研究旨在详细了解学生在自我和文本引导探索条件下如何与我们的界面互动。我们还研究了交互过程如何与学生在界面中整合表征的能力相关。结果强调了一些可取的学生行为,以及改进界面以提高MERs集成的潜在点。
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