知识自组装视域下高职课堂AI多模态教学模式构建OA

Artificial intelligence is reshaping knowledge production,knowledge presentation and learning interaction.The transformation of higher vocational classrooms from knowledge transmission to task-driven,context-participatory,and multi-modal construction has become an important direction for teaching reform.From the perspective of knowledge self-assembly,the AI multi-modal teaching model can be developed across three levels:multiple representation(addressing how knowledge is presented),multi-dimensional traversal(addressing how knowledge is organized),and iterative deepening(addressing how learning is continuously generated).Taking higher vocational public foundation courses such as General English as the practice field,an AI learning community was built through the Xuexitong platform,forming a teaching process of"generative knowledge learning—multi-modal learning creation—process evaluation feedback".In the future,the AI multi-modal teaching model in higher vocational classrooms should deepen the theoretical interpretation of knowledge self-assembly;improve AI learning communities and multi-modal resources support;refine process evaluation and portfolio-based assessment mechanisms;enhance teachers'AI teaching competence;and uphold the boundaries of technological ethics and teaching subjectivity.