FIE-TOE Guest Editorial Grand Challenges in Engineering and Computing Education: Beyond the Pandemic

IF 2.1 2区 工程技术 Q2 EDUCATION, SCIENTIFIC DISCIPLINES IEEE Transactions on Education Pub Date : 2024-06-03 DOI:10.1109/TE.2024.3382848
Campbell R. Bego;Joshua C. Nwokeji;Deborah A. Trytten
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引用次数: 0

Abstract

The promise of engineering and computing education is to prepare and fully equip students to solve societal problems that are complex, open-ended, and/or poorly defined [1] . So far, engineering and computing educators have made notable progress toward fulfilling this promise. However, established practices are constantly tested by new challenges like those caused by the coronavirus pandemic and breakthroughs in generative artificial intelligence. For engineering and computing education to achieve its full potential and deliver its promise, these new challenges have to be elicited, analyzed, and addressed.
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FIE-TOE 特邀编辑:工程与计算机教育的重大挑战:超越流行病
工程学和计算机教育的承诺是让学生做好充分准备,解决复杂的、开放的和/或定义不清的社会问题[1]。迄今为止,工程与计算教育工作者在实现这一承诺方面取得了显著进展。然而,新的挑战(如冠状病毒大流行和生成式人工智能的突破)不断考验着既定的做法。要想充分发挥工程与计算教育的潜力并兑现其承诺,就必须对这些新的挑战进行发掘、分析和应对。
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
IEEE Transactions on Education
IEEE Transactions on Education 工程技术-工程:电子与电气
CiteScore
5.80
自引率
7.70%
发文量
90
审稿时长
1 months
期刊介绍: The IEEE Transactions on Education (ToE) publishes significant and original scholarly contributions to education in electrical and electronics engineering, computer engineering, computer science, and other fields within the scope of interest of IEEE. Contributions must address discovery, integration, and/or application of knowledge in education in these fields. Articles must support contributions and assertions with compelling evidence and provide explicit, transparent descriptions of the processes through which the evidence is collected, analyzed, and interpreted. While characteristics of compelling evidence cannot be described to address every conceivable situation, generally assessment of the work being reported must go beyond student self-report and attitudinal data.
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