AI数字人驱动下的高校数字媒体技术专业美育精准教学模式探究

Research on the Precision Teaching Model of Aesthetic Education in the Digital Media Technology Major in Universities Driven by AI Digital Humans

摘要: 随着生成式人工智能与虚拟现实技术的飞速发展，高校美育正迎来从“粗放式漫灌”向“精准化滴灌”的范式转型。数字媒体技术专业作为“新工科”与“新美育”交汇的新兴交叉学科，是推进美育与科技深度融合的关键载体。然而，当前理工科美育教学普遍面临课程定位模糊、技术应用浅层化等现实困境。本文探究AI数字人驱动下的美育精准教学模式，通过引入具备多模态感知与智能交互能力的AI数字人作为教学媒介，并深挖计算机视觉、弱监督特征表示学习等底层算法在艺术生成中的逻辑映射，重构了“课前学情精准画像、课中数字人沉浸伴学、课后多维增值评价”的精准教学闭环。实践表明，该模式不仅能有效活化中华优秀传统文化资源，破解技术与艺术脱节的“两张皮”现象，更激发了学生在跨视域协同与AIGC环境下的主动创造力，为应用型本科高校创新人才培养模式、推进教育治理现代化提供了理论借鉴与实践路径。

Abstract: With the rapid development of generative artificial intelligence and virtual reality technology, aesthetic education in universities is undergoing a paradigm shift from “extensive irrigation” to “precise drip irrigation”. As an emerging interdisciplinary field where “New Engineering” meets “New Aesthetic Education”, the Digital Media Technology major serves as a key vehicle for promoting the deep integration of aesthetic education and technology. However, current aesthetic education in science and engineering disciplines generally faces practical challenges such as ambiguous course positioning and superficial application of technology. This paper explores a precision teaching model for aesthetic education driven by AI digital humans. By introducing AI digital humans with multimodal perception and intelligent interaction capabilities as teaching mediators, and delving into the logical mapping of underlying algorithms such as computer vision and weakly supervised feature representation learning in artistic generation, this study reconstructs a closed-loop precision teaching system featuring “accurate pre-class learner profiling, immersive in-class digital human companionship, and multi-dimensional post-class value-added assessment”. Practice has shown that this model not only effectively revitalizes traditional Chinese cultural resources and resolves the “two-layered” problem of disconnection between technology and art, but also stimulates students’ active creativity in cross-perspective collaboration and AIGC environments. This research provides theoretical references and practical pathways for application-oriented undergraduate universities to innovate talent cultivation models and advance the modernization of educational governance.