多Agent的个性化学习路径推荐系统设计

Multi-agent Based Personalized Learning Path Guidence System

该文章介绍了一个多agent的个性化学习路径推荐系统,该系统通过前测来掌握学习者的知识水平,再采用遗传算法来生成最佳学习路径,推荐给学习者。该系统考虑了学习者的水平和推荐课件难度水平的匹配,以及课件之间的相关性以保证学习概念的连续性。对比传统的自由浏览学习模式,这个系统有效地提高了学习者的学习效率。

This essay designs a multi-agent based personalized learning path guidence system.By using pre-test,this system can get the knowledge background of the individual learner.With genetic algorithm,the system can generate appropriate learning path and recommend to the individual learner.This system match the learner's level with the difficulty of courseware and the correlation between coursewares to ensure the continuity of learning concept.Comparing with the freely browsing learning mode,the personalized learning path guidence system is more effective.