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
Abstract
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.
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.
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