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使用眼动仪对学生解决基于自然科学任务的策略进行可视化与解读

Visualisation and Interpretation of Student Strategies in Solving Natural Science-Based Tasks Using the Eye-Tracker.

作者信息

Škrabánková Jana, Laš Lukáš, Bujok Petr

机构信息

University of Ostrava, Ostrava, Czechia.

出版信息

J Eye Mov Res. 2018 Aug 31;11(4). doi: 10.16910/jemr.11.4.4.

Abstract

This paper presents a research on students using the Gazepoint device to visualise the prac-tices and strategies that students used in order to solve assignments in the disciplines of natural science. The analysis of visual perception of students is complemented by a ques-tionnaire survey for a group of respondents aged 15-16. The essence of the study was to find out how the students proceeded in monitoring assignments displayed on the screen, how they continued working with the assignments, and whether the layout of the schematics, tables and applied images affected students 'correctness for the solution. The main aim of the research was to find some similar segments in the experimental data and obtained clus-ters that would suggest a similar approach of problem solving by students - respondents, and to find out if, and possibly how, some strategies in the assignments differ for the talented students from the standard pupil population and compare the outcomes with students' char-acteristics. The other aim of study was to confirm the presence of gifted students in natural sciences in a given sample of respondents on the basis of eye-tracking technology. Also on the basis of similarities in assigned task solving the aim was to find other students who can be seen similarly to the gifted ones from a view of e.g. physiological dynamics of eyes of the students in the context of the given selected seven tasks in the area of the chemical elements identification. For both groups of students, some basic measures are proposed to increase the efficiency of students' work with an assignment displayed on a computer screen. Our results show that in the task solving, one gifted student was identified next to a cluster of four similarly performing students on the basis of eye-movements parameters.

摘要

本文介绍了一项关于学生使用Gazepoint设备可视化其在自然科学学科中解决作业时所采用的实践和策略的研究。对学生视觉感知的分析辅以针对15 - 16岁一组受访者的问卷调查。该研究的本质是弄清楚学生在监控屏幕上显示的作业时是如何进行的,他们如何继续处理作业,以及示意图、表格和应用图像的布局是否会影响学生解题的正确性。该研究的主要目的是在实验数据和所得聚类中找到一些相似部分,这些部分将表明学生(受访者)解决问题的类似方法,并弄清楚对于有天赋的学生和普通学生群体而言,作业中的一些策略是否存在差异以及可能如何不同,同时将结果与学生的特征进行比较。该研究的另一个目的是基于眼动追踪技术在给定的受访者样本中确认自然科学领域中天才学生的存在。同样基于解决指定任务的相似性,目的是在化学元素识别领域给定的七个选定任务的背景下,从例如学生眼睛的生理动态角度找到其他在解决问题方式上与天才学生相似的学生。针对两组学生,都提出了一些基本措施以提高学生处理计算机屏幕上显示的作业的效率。我们的结果表明,在任务解决过程中,基于眼动参数,在一组四个表现相似的学生群体旁边识别出了一名天才学生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b1d/7903849/b791c057a157/jemr-11-04-d-figure-01.jpg

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