摘要
远程学习支持的关键在于依据学生的差异提供个性化的服务。依据认知型学生模型,设计了一个基于多Agent的智能学习支持系统,对学生认知能力自动诊断,以使不同层次的学生得到深度不同的答案、水平合适的知识与技能训练,以此激发学生的学习兴趣,促进学生认知能力的提高。
The key to remote LSS lies in offering personalized services in accordance with the differences of the students. Following the cognitive student model, the paper advances an intelligent learning support system (ILSS)based on multi-agents. By diagnosing the student's cognitive answers at different degrees, the knowledge and skill training and improving their cognitive ability. ability automatically, it can provide students in right levels, thus stimulating their interests with the in study and improving their cognitive ability.
出处
《南京邮电大学学报(社会科学版)》
2006年第4期44-49,共6页
Journal of Nanjing University of Posts and Telecommunications(Social Science Edition)
基金
南京邮电大学青蓝计划资助项目(NY206033)
关键词
学习支持服务
动态学生模型
模糊评价
差别化刺激
learning support services (LSS)
dynamic student model
fuzzy evaluation
discriminative stimulation