离散数学自适应导学实践教学探索

Exploration of Adaptive Learning Guidance Practical Teaching of Discrete Mathematics

本文针对离散数学课程教学中存在的诸多问题,探索“人工智能+教育”教学模式,提出基于知识图谱的自适应导学理念的新生态教学模式探索改革方法。首先对优质资源进行筛选、整合与建设,构建双层知识图谱;然后构建课程群体数字孪生模型,给出融合教育理论的自适应导学推荐算法,并利用个体孪生数字模型对基于知识图谱RippleNet算法产生的学习路径进行分析,择优推荐出符合学习者个体特征的学习路径,有效利用资源,以备教师对学习者效果有效预估、预警。

In view of the problems existing in discrete mathematics curriculum teaching,this paper explores the teaching mode of“artificial intelligence+education”,and proposes an adaptive learning guidance concept based on knowledge graph,which is a new ecological teaching mode exploring and reforming method.Firstly,high-quality resources are selected,integrated and constructed to build a two-tier knowledge graph.The curriculum group digital twin model is then constructed.Finally,an adaptive learning guidance recommendation algorithm based on integrated education theory is proposed.The individual twin digital model is used to analyze the learning path generated by the knowledge graph RippleNet algorithm and recommend the optimal learning path which is in line with the individual characteristics of learners,so as to effectively use resources and effectively predict and warn the learners by teachers.