KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

Forecasting Methods in Science Education: A Bibliometric Analysis Using the Scopus Database

Published date: Jul 03 2024

Journal Title: KnE Social Sciences

Issue title: International Joint Seminar on Education, Social Science and Applied Science (IJESAS)

Pages: 472–483

DOI: 10.18502/kss.v9i19.16535

Authors:

Suhendar SuhendarDepartment of Science Education, Universitas Pendidikan Indonesia, Bandung

Ari Widodowidodo@upi.eduDepartment of Science Education, Universitas Pendidikan Indonesia, Bandung

Rini SolihatDepartment of Biology Education, Universitas Pendidikan Indonesia, Bandung

Riandi RiandiDepartment of Science Education, Universitas Pendidikan Indonesia, Bandung

Abstract:

This study utilizes a detailed bibliometric analysis to thoroughly explore the literature surrounding forecasting methods and models in science education. It highlights significant trends, applications, and impacts of these methodologies. Leveraging data from the Scopus database pinpoints essential themes and notable gaps within the current body of work. The research underscores the importance of integrating forecasting techniques across various scientific disciplines and applying these techniques to address real-world challenges in education. This comprehensive analysis is intended to contribute richly to academic dialogue and guide the development of future educational strategies and policies. By identifying and discussing these key elements, the study aims to enhance understanding and implementing forecasting methods in academic settings, ultimately influencing both practice and theory in science education.

Keywords: forecasting methods, science education, bibliometric

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