光谱聚类方法,以确定技术使用和学业成绩之间的关系

Nazir S. Hawi, Maya Samaha
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引用次数: 0

摘要

由于用户不了解如何正确使用技术,世界范围内的担忧不断升级。特别是,各学科的研究人员越来越关注屏幕时间过长对儿童的影响,因为它已成为家长和教育工作者主要和真正关心的问题。在本研究中,光谱聚类用于识别三年级儿童在屏幕时间和学习成绩方面的相似行为。事实上,数据中出现了两个不同的集群。第一组学生长时间看屏幕,学业成绩低;第二组学生长时间看屏幕,学业成绩高。研究结果应该有助于建立与学习成绩有关的屏幕时间长短的指导方针,这是我们发展中国家面临的一个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A spectral clustering approach to determine the relationship between technology use and academic performance
A worldwide concern has been escalating due to uninformed users on proper usage of technologies. In particular, researchers from various disciplines are more and more concerned about the impact of excessive screen time on children as it is becoming a major and real concern for parents and educators. In this study, spectral clustering is used to identify groups of third grade children of similar behavior in relation to screen time and academic performance. Indeed, two distinctive clusters have emerged from the data. One cluster grouped students with high screen time and low academic grade, whereas the second cluster grouped students with low screen time and high academic grade. The results should help in establishing guidelines for the amount of screen time in relation to the academic performance, a problem that is facing our developing world.
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