The use of technology to scientific reasoning in science education: A bibliometric and content analysis of research papers

Noly Shofiyah , Budi Jatmiko , Nadi Suprapto , Binar Kurnia Prahani , Desak Made Anggraeni
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Abstract

The results of several empirical findings show that the use of technology in science learning has a very positive influence on the development of students' scientific reasoning and is worthy of further development. This study aims to evaluate and map the use of technology in learning scientific reasoning in the context of science education through bibliometric of 119 articles and content analysis of 17 articles published from 2012 to 2024. The findings reveal fluctuations in research productivity, with a peak in 2022 driven by increased reliance on technology following the COVID-19 pandemic. The United States dominates contributions to this field, accounting for nearly half of the total publications, while emerging nations like Indonesia demonstrate significant potential for growth. Co-occurrence analysis identifies five thematic clusters, highlighting cognitive skills, curriculum design, and emerging tools such as virtual reality, artificial intelligence, and game-based learning. Content analysis shows that quantitative methods, particularly true-experimental designs, are the most common, with secondary school students (47 %) as the primary sample group. Achievement tests are the predominant data collection method, often complemented by observations and surveys for comprehensive insights. The focus on physics as the most studied subject (35 %) underscores its versatility, while multidisciplinary studies reveal a growing interest in sustainability, robotics, and artificial intelligence. The implication of the findings of this research is that future researchers are expected to be able to discover new areas and develop new technologies that are appropriate in science learning to improve scientific reasoning.
在科学教育中运用技术进行科学推理:研究论文的文献计量学和内容分析
几项实证研究结果表明,在科学学习中使用技术对学生科学推理能力的发展有非常积极的影响,值得进一步发展。本研究旨在通过对2012年至2024年发表的119篇文章的文献计量学和17篇文章的内容分析,评估和绘制科学教育背景下科学推理学习中技术的使用情况。研究结果显示,研究生产力存在波动,在2019冠状病毒病大流行后,由于对技术的依赖增加,研究生产力在2022年达到峰值。美国对这一领域的贡献占主导地位,占总出版物的近一半,而印度尼西亚等新兴国家则显示出巨大的增长潜力。共现分析确定了五个主题集群,突出了认知技能、课程设计和新兴工具,如虚拟现实、人工智能和基于游戏的学习。内容分析表明,定量方法,特别是真实实验设计,是最常见的,以中学生(47%)为主要样本组。成绩测试是主要的数据收集方法,通常辅以观察和调查,以获得全面的见解。对物理学的关注是研究最多的学科(35%),强调了它的多功能性,而多学科研究表明,人们对可持续性、机器人和人工智能的兴趣日益浓厚。本研究结果的含义是,未来的研究人员有望在科学学习中发现新的领域和开发新的技术,以提高科学推理能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Social sciences & humanities open
Social sciences & humanities open Psychology (General), Decision Sciences (General), Social Sciences (General)
CiteScore
4.20
自引率
0.00%
发文量
0
审稿时长
159 days
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