基于网络的自适应智能学习系统的设计与实现

摘要

According to the characteristics of self-adaptive learning, an intelligent self-adaptive learning system based on fundamentals of computer application is researched and developed with the technology taking network and artificial intelligence as a core to realize the individualized learning and to arouse the learning enthusiasm of students. Considering the advantages and unique characteristics of the intelligent self-adaptive learning system, an actual project experiment was performed in cooperation with a college in Shanghai. The intelligent learning support module in the system was emphatically developed on the basis of Item Response Theory (ITR). The intelligent module calculates a capability level of students according to the previous learning result. The most suitable learning content can be automatically picked up for the learners to realize the individualized learning goal. The innovation of the system is to adopt the some estimation methods to calculate the capability level of the learners, and improve the system efficiency and system running speed on the basis of assuring the accuracy of the learning result.%为了提高学习者的个性化学习和学习兴趣,针对自适应学习的特点,采用网络与人工智能为核心的技术,研究并开发了一个基于计算机应用基础的自适应智能学习系统.该系统以项目反应理论为指导,着重开发了学习者智能支持模块.该模块能就学生的学习内容测试得出学习者的特质水平,从而根据学习者测试出的不同的特质水平让学习者进入相应的学习内容,从而达到自主学习的目的,该系统创新地采用首题估算策略及间隔信息量估算策略来计算特质水平,提高出题速度和计算速度.