Antenna technology course, which is oriented to engineering application, is a required course for electronic information majors. The theoretical formula of this course is complicated and abstract, which is difficult t...
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The modern-day educational landscape demands progressive answers to enhance challenge control practices amongst university students. In reaction to this want, the principal project, "Pro Tech" introduces an ...
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Tomato plants are vulnerable to different types of diseases, which can lead to significant reductions in yield and quality. Accurate and early detection is therefore crucial to mitigate these losses. This research pro...
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The impact localization of spacecraft structures is a crucial element in ensuring their safe and stable operation during successful launch and in-orbit missions. In this paper, an improved triangulation impact locatio...
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Recommender systems are techniques designed to enhance user experience in various domains. They suggest relevant items to users based on their behavior and preferences (Linyuan et al. Feb 2012). These systems are bein...
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The FDTD method is a direct time-domain method for solving Maxwell's differential equations. The algorithm has two natural drawbacks:the traditional FDTD method is limited by the Courant- Friedrichs- Lewy limit, e...
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Conformal antenna array becomes more popular on aircraft owing to significant improvement of aerodynamic and stealth performance. However, due to the interaction of its platform, full-wave analysis discretizes the pla...
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The purpose of this study is to explore the integrated application of BIM and UAV 3D reality modeling technology in highway engineering construction. This paper introduces the core technology of 3D reality modeling ba...
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Given the pervasive reliance on technology in modern society, teaching computational Thinking (CT) abilities is becoming increasingly relevant. These abilities, such as modeling and coding, have become crucial for a l...
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ISBN:
(纸本)9781665453318
Given the pervasive reliance on technology in modern society, teaching computational Thinking (CT) abilities is becoming increasingly relevant. These abilities, such as modeling and coding, have become crucial for a larger audience of students, not only those who wish to become software engineers or computer scientists. Recent advances in Large Language Models (LLMs), such as ChatGPT, provide powerful assistance to complete computational tasks, by simplifying code generation and debugging, and potentially enhancing interactive learning. However, it is not clear if these advances make CT tasks more accessible and inclusive for all students, or if they further contribute to a digital skills divide, favoring the top students. To address this gap, we have created and evaluated a novel learning scenario for transversal CT skills that leveraged LLMs as assistants. We conducted an exploratory field study during the spring semester of 2022, to assess the effectiveness and user experience of LLM-augmented learning. Our results indicate that the usage of ChatGPT as a learning assistant improves learning outcomes. Furthermore, contrary to our predictions, the usage of ChatGPT by students does not depend on prior CT capabilities and as such does not seem to exacerbate prior inequalities.
This manuscript presents an exhaustive survey of graph optimization strategies in the realm of deep learning compilers, elucidating the pivotal evolution of artificial intelligence compilers. These compilers play an i...
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