工程教育专业认证视域下人工智能类课程教学资源构建问题与对策
Problems and Countermeasures for the Construction of Teaching Resources of Artificial Intelligence Courses from the Perspective of Engineering Education Professional Certification

在工程教育专业认证视域下，人工智能类课程教学质量的提升依赖于科学、合理的教学资源构建。为此，依据“产学融合、科教融汇”的教学理念，本文着重对人工智能类课程教学资源构建存在的问题进行分析，进而从“双创”平台建设、在线实践教学与质量分析平台研发、多层级教学案例构建三个维度对人工智能类课程“产学研创”一体化教学资源构建方法进行探索。实践证明，本方法可有效解决人工智能类课程创新创业与教学脱节、实践教学评估体系不完善、教学内容更新滞后等问题，进而可极大地提升学生的学习、创新与实践能力。
From the perspective of engineering education professional certification, the improvement of the teaching quality of artificial intelligence courses depends on the construction of scientific and reasonable teaching resources. Therefore, according to the teaching concept of “integration of industry and academia, integration of science and education”, this paper focuses on the analysis of the existing problems in the construction of teaching resources for artificial intelligence courses, and then explores the construction method of industry-university-research-innovation integrated teaching resources for artificial intelligence courses from three dimensions: the construction of innovation-entrepreneurship platform, research and development of online practical teaching and quality analysis platform, and construction of multi-level teaching cases. Practice has proved that this method can effectively solve the problems of disconnection between innovation-entrepreneurship and teaching, imperfect practical teaching evaluation system, and lagging update of teaching content in artificial intelligence courses, and can greatly improve students’ learning, innovation and practice ability.