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From the Guest Editors: Artificial Intelligence for Education: A Signal Processing Perspective: Part II: From Human–AI Cocreativity to Educational Equity

Signal processing (SP) is at the heart of our digital lives and has served as an enabling technology across multiple disciplines, from the acquisition of signals and images through to artificial intelligence (AI). With education playing a key role in the advancement of modern data-centric disciplines, it has been recognized that AI technologies, particularly the success of generative AI, offer transformative possibilities to revolutionize SP education, making it more data driven, relevant, and personalized.

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Deploying AI for Signal Processing Education: Selected Challenges and Intriguing Opportunities

Abstract: Powerful artificial intelligence (AI) tools that have emerged in recent years—including large language models (LLMs), automated coding assistants, and advanced image and speech generation technologies—are the result of monumental human achievements. These breakthroughs reflect mastery across multiple technical disciplines and the resolution of significant technological challenges. However, some of the most profound challenges may still lie ahead.

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