Model of Discovery learning in Science Learning: Bibliometric Analysis of the Current State of the art and Perspectives

Noor Izzati Pratiwi, M. Misbah, S. Miriam, Muhdi Harto, N. Muhammad
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引用次数: 3

Abstract

This study aims to evaluate the most relevant themes related to discovery learning through bibliometric analysis, with its input using the keyword "Discovery learning in Science Learning". The Scopus index database is used in this study as the source database to conduct a bibliometric study for an academic article in the period between 1976 to 2022. This research also uses the VOSviewer app as a bibliometric analysis tool to visualize networks of authors, countries, journals, and keywords. This study found that the number of publications on discovery learning has grown periodically. This study also identifies the top ten authors, top ten affiliations, the top ten countries, and the top ten journal publications as sources in the field of discovery learning. Keyword analysis proves that the study of discovery learning in the last four decades has centred on themes related to computer science education, learning models, discovery learning, public understanding/outreach, high school/introductory chemistry, and constructivism. The bibliometric analysis presented in this study provides relevant information about the main theme learned about discovery learning in science learning, which is seen in the increase in creativity, learning outcomes, and student achievement in school teaching and learning activities.
科学学习中的发现学习模式:文献计量学分析的现状与展望
本研究旨在通过文献计量分析评估与发现学习相关的最相关主题,并使用关键词“科学学习中的发现学习”进行输入。本研究使用Scopus索引数据库作为源数据库,对1976 - 2022年间的一篇学术文章进行文献计量学研究。这项研究还使用VOSviewer应用程序作为文献计量分析工具,将作者、国家、期刊和关键词的网络可视化。这项研究发现,关于发现学习的出版物数量周期性地增长。本研究还确定了发现学习领域的十大作者、十大附属机构、十大国家和十大期刊出版物作为来源。关键词分析证明,在过去四十年中,发现学习的研究主要集中在与计算机科学教育、学习模式、发现学习、公众理解/拓展、高中/入门化学和建构主义相关的主题上。本研究的文献计量分析提供了有关科学学习中发现学习的主题的相关信息,这体现在学校教学活动中创造力、学习成果和学生成绩的提高上。
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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