【摘要】 随着脑机接口技术的迅猛发展，社会对具备扎实理论基础和实践能力的专业人才的需求日益增长。然而，当前高校脑机接口课程教学却存在诸多挑战，如跨学科整合难度大、学生参与度低、伦理教育缺失、科研与教学脱节、评价体系不完善等，导致教学成果难以满足产业需求。为解决上述问题，本文提出了一种“即学即用”的脑机接口课程教学模式，从“教、练、用、评”四个层面进行设计，以期培养具备扎实理论基础和丰富实践技能的复合型人才。该模式通过跨学科整合的理论课程，帮助学生构建完整的脑机接口知识体系；通过实践教学平台，让学生在实践中提升技能；通过实际操作体验，让学生亲身体验脑机接口技术的应用价值；通过以竞技为核心的考核测评，构建更加客观、公正的教学评价体系。此外，该模式还注重伦理教育和责任意识培养，并致力于实现科研与教学的深度融合。“即学即用”教学模式为脑机接口人才培养提供了新的思路，有助于培养适应产业发展需求的高素质人才，推动脑机接口技术的持续发展和产业升级。更多还原

【Abstract】 With the rapid development of brain-computer interface(BCI) technology, there is an increasing demand for professionals with solid theoretical knowledge and practical skills.However, the current teaching models for BCI courses in higher education face numerous challenges, such as difficulty in interdisciplinary integration, low student engagement, lack of ethics education, disconnection between research and teaching, and inadequate evaluation systems, which result in teaching outcomes that fail to meet industry needs.To address these issues, this paper proposes a “Just-in-Time Learning and Application” teaching model for BCI courses, designed from four aspects: “teaching, practice, application, and evaluation” in order to cultivate professionals with a strong theoretical foundation and rich practical skills.This model helps students build a comprehensive knowledge system of BCI through interdisciplinary theoretical courses; enhances skills through practical teaching platforms; provides hands-on experiences to allow students to understand the practical value of BCI technology; and establishes a more objective and fair evaluation system centered around competitive assessments.In addition, the model emphasizes ethics education and the cultivation of a sense of responsibility, while striving to achieve deep integration between research and teaching.The “Just-in-Time Learning and Application” teaching model offers new ideas for BCI talent development, helping to train high-quality professionals who can meet industry demands and drive the continuous development and upgrading of BCI technology.更多还原