AI赋能高校“影视+”育人机制创新与实践路径研究

Research on the Innovation and Practical Path of AI-Enabled “Film and Television +” Education Mechanism in Colleges and Universities

摘要: 人工智能技术正从底层逻辑上重塑高校育人范式，为“影视+”育人突破内容同质、路径单一与评价迟滞等瓶颈提供了全新契机。本研究遵循“技术赋能–机制解析–理念跃升”的递进逻辑，揭示出AI驱动下“影视+”育人的三重核心机制：数据算法驱动的精准供给机制、虚拟现实营造的具身沉浸机制，以及智能系统支撑的循证评价机制。研究表明，三重机制并非简单叠加，而是通过动态耦合，共同推动育人范式从“技术辅助”向“人机协同”的根本性跃迁，进而赋予高校“影视+”育人以精准化、具身化与智慧化的新动能。在实践层面，应从智能平台建设、沉浸式课程开发与人机协同评价体系构建三条路径系统推进，形成闭环迭代的育人生态。

Abstract: Artificial intelligence is fundamentally reshaping the educational paradigms in higher education, offering a new opportunity to overcome bottlenecks such as content homogenization, singular pathways, and delayed evaluation in “film and television+” education. Following a progressive logic of “technology empowerment - mechanism analysis - conceptual advancement,” this study identifies three core mechanisms underlying AI-driven “film and television+” education: a precision supply mechanism driven by data and algorithms, an embodied immersion mechanism enabled by virtual reality, and an evidence-based evaluation mechanism supported by intelligent systems. The research reveals that these three mechanisms do not simply add up but dynamically interact, collectively driving a fundamental shift in educational models from “technology-assisted” to “human-machine collaboration,” thereby infusing “film and television+” education with new momentum characterized by precision, embodiment, and intelligence. In practice, systematic progress should be made along three pathways: building intelligent platforms, developing immersive curricula, and establishing human-machine collaborative evaluation systems, thus forming a closed-loop, iterative educational ecosystem.