Innovative Teaching in “Stochastic Signal Analysis” for the Major of Artificial Intelligence — Concurrent Discussion on Concise Music Art Empowering New Engineering Classroom Teaching
Artificial intelligence; Stochastic Signal Analysis; Teaching innovative; Concise music art; Accordion
人工智能; 随机信号分析; 教学创新; 简明音乐艺术; 手风琴
Abstract:
Taking the teaching of undergraduate courses such as “Stochastic Signal Analysis” for students majoring in artificial intelligence in higher education institutions as a blueprint, practical effects of reasonably introducing concise music art are explored to empower new engineering classroom teaching in correspondence with classical compositions of accordion solo. By analyzing the procedure of implementation, evaluation of effects and long-term planning, innovative teaching strategies are advocated to combine concise musical art to stimulate the interests of learning for students and enhance their awareness on active innovation. Statistical data and practical experience indicate that this style of innovative teaching may help students improve their scientific and humanistic qualities, facilitate their mastery of course knowledge, and strengthening abilities on interdisciplinary application, which also expands refreshed ideas for the construction of curriculums on new engineering majors.
本文以高等院校人工智能本科专业“随机信号分析”等课程教学为蓝本,结合经典手风琴独奏曲目,探讨引入简明音乐艺术赋能新工科课堂教学的实践效果。通过分析实施过程、效果评估与远景规划等教学内容,倡导融合简明音乐艺术的教学创新策略,激发学生学习兴趣、提升主动创新意识。统计数据与实践表明,该教学创新模式有助于学生完善科学人文素养,促进其掌握课程知识,增强跨学科应用能力,为新工科专业课程建设拓展新思路。