摘要
在网络协同化学习环境中,由于学习环境比较复杂,解决学习者在学习过程中的"孤独感"问题以提高网络环境的社会性,时于学习者顺利完成学习任务来说显得非常重要。在CSCW的感知处理技术的基础上,基于知识空间理论和知识域间关系模型,利用学习者的兴趣模型和能力模型,提出了多学习内容、多学习目标、多学习等级的动态多级感知空间模型,在学习者的学习过程中,通过灵活的感知处理技术和感知敏感度调节,为学习者感知到其他学习者的信息和行为,为寻求或是提供其他学习者的交流和指导,共同完成学习任务提供了有效的途径。
One of the key issues to complete the learning tasks successfully is to find the way to solve isolated issue and improve sociality in the complicated synergetic network based learning environment. The dynamic multi-level awareness space model is put forward in this paper using the CSCW awareness processing technique based on the knowledge space theory and relation model between knowledge items. The model can adapt to different learning contents and multi learning objectives for different learner with different level based on learner＇s interesting model and competence model. To a large extent, the model can meet the above needs and provide the effective way to know the other learner＇ s information and behaviors to seek the communication with the other learner and guidance from the other learner through multi-level awareness processing technique and awareness sensitivity technique in learning process. Thus the learning task can be achieved successfully.
出处
《计算机科学》
CSCD
北大核心
2008年第5期288-291,共4页
Computer Science
基金
国家自然基金重点项目(70531020)
国家发改委CNGI计划子项目(CNGI-04-15-5A-2)资助
