【摘要】 教育目标包括认知领域目标、动作技能领域目标和情感领域目标。情感领域目标教育已受到越来越多教育者和众多领域学者的关注和研究。学习者的情感在传统教育和网络教育中都起着十分重要的作用,影响着学习者的学习主动性、积极性、创造性以及学习效果。基于多年承担本科生和硕士生的算法相关课程的教学实践,构建了细粒度学习情感本体,提出了基于细粒度学习情感本体的学习效果评估方法。细粒度学习情感本体的特点是引入了课程知识点之间的多种语义关系,构建了基于知识点的教师情感反馈行为分类。学习效果评估方法的特点是构建了基于细粒度学习情感本体中知识点关系路径的学习情感演化模型,并应用该模型来评估学习效果。更多还原

【Abstract】 Education goals include cognitive domain goal,motor skill domain goal and emotional domain goal.Education of emotional domain goal has received attentions and research of more and more pedagogues and scholars of many domains.Emotions of learners play an important role in traditional education and network education,and they affect learning initiative,enthusiasm,creativity and learning effects of learners.According to authors’ teaching practices of algorithm related courses of undergraduates and master graduates for many years,this paper built a fine-granularity learning emotion ontology,and proposed a learning effect evaluation method based on fine-granularity learning emotion ontology.The characteristics of the fine-granularity learning emotion ontology are that it introduces multiple semantic relations among knowledge points of courses,and constructs a classification of emotion feedback actions of teachers.The traits of the learning effect evaluation method are that it builds the evolutional model of learning emotion based on relational paths of knowledge points in the fine-granularity learning emotion ontology,and this model can be used to evaluate learning effects of learners.更多还原