通过解决问题的方法吸引学生参与环境可持续性项目的STEM模型

Q2 Social Sciences Applied Environmental Education and Communication Pub Date : 2023-01-02 DOI:10.1080/1533015X.2023.2179556

Shahad Alkair, Ruba Ali, Azza Abouhashem, Rania Aledamat, J. Bhadra, Zubair Ahmad, Abdellatif Sellami, N. Al-Thani

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引用次数: 1

摘要

本研究举例说明了通过解决问题的方法让学生参与环境可持续性项目的STEM模型。本研究采用混合方法对346名小学生进行研究。研究结果表明，测试后的分数有了显著提高，这表明学生对环境问题的理解得到了增强。对学生任务的观察，以及学生和辅导员的反馈说明了学生协作解决问题(CPS)态度的增强。最后，通过为期一周的课程，CPS技能的成功实施已经通过优势、劣势、机会和威胁(SWOT)分析得到了证明。因此，本研究为e - stem问题解决方案的未来发展铺平了道路。

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A STEM model for engaging students in environmental sustainability programs through a problem-solving approach

Abstract This study exemplifies a STEM model for engaging students in environmental sustainability programs through a problem-solving approach. The study employed a mixed-method approach incorporating 346 elementary students. The research findings demonstrated a significant improvement in post-test scores, revealing augmented students’ understanding of environmental issues. Observations of students’ tasks, and students’ and facilitators’ feedback illustrated enhanced students’ collaborative problem-solving (CPS) attitudes. Conclusively the successful implementation of CPS skills through a week-long course has been demonstrated by a strength, weaknesses, opportunities, & threats (SWOT) analysis. Thus, this study paves the way for the future development of E-STEM-based problem-solving programs.

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来源期刊

Applied Environmental Education and Communication Social Sciences-Communication

CiteScore

2.30

自引率

0.00%

发文量

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.