Evolving Pedagogy in Digital Signal Processing Education: AI-Assisted Review and Analysis

Miguel Bordallo López

Abstract: This survey provides a comprehensive review of the evolving pedagogical approaches in Digital Signal Processing (DSP) education. By employing an AI-assisted recursive search methodology, the paper systematically examines traditional and innovative teaching methods, ranging from classic lecture styles to modern, technology-enhanced, and interactive strategies. The focus is on evaluating the effectiveness of these methodologies in teaching complex DSP concepts and fostering practical skills. The integration of digital tools, online learning platforms, and laboratory experiences is critically analyzed, emphasizing their role in enhancing student engagement and comprehension. Through comparative analysis and insights derived from AI-assisted synthesis, this paper offers actionable recommendations for educators to optimize DSP teaching techniques in the rapidly advancing field of engineering education.