在智能化和数字化教育的背景下，为了满足学生自主学习和探究的需求，基于大模型和知识库建设《光学》AI助教多元化平台，基于OBE理念建设平台框架，分为知识图谱，AI问答模块和MOOC学习平台三个部分，并在此基础上建立后台数据分析．内容上，知识图谱绘制教学框架并进行掌握程度评定，AI问答模块引入具有《光学》课程特色的工具插件进行专业的检索回答，MOOC式平台整合视频课件的学习资源，AI助教后台则分析学生的学习进度和掌握情况．“AI助教”在教学上的应用，满足学生碎片化学习的需求，促进课程教学智能化数字化发展．

With the background of intelligent and digital education, we construct a diversified AI teaching assistant platform of optics based on large language models and knowledge bases in order to meet the needs of students’ learning and exploring. The platform starts from the OBE concept and leads to three parts: knowledge graph, AI questions and answers module, and MOOC learning platform. Based on these parts, we construct a back-end platform to analyze the learning data. In terms of content, knowledge graph can construct teaching frameworks and judge mastery levels. For the AI questions and answers module, it introduces tool plugins with the characteristics of the optics course and gives professional replies. Additionally, the MOOC learning platform focuses on integrating learning resources such as videos and courseware. The learning data of the students, including learning progress and mastery levels, can be analyzed in the back-end of AI teaching assistant platform. The application of the AI teaching assistant platform in teaching can satisfy the needs of students for fragmented learning and may promote the intelligent and digital development of course teaching.