摘要
研究性学习对于培养创新精神和实践能力至关重要,空间化设置的虚拟学习云环境能在学习资源与服务的动态供给、便捷交互上提供支持,为研究性学习实践提供了新的途径。以促进研究性学习与学习云空间深度融合为目标,对学习云空间支持下研究性学习各要素进行适配分析,提出了学习云空间支持下的研究性学习系统架构和功能设计。为了促进学习者交互学习的主题管控和目标的快速达成,以构建语义相似度计算方法为基础,提出了一种思维发散与聚集保障机制;依托Cloudstack,开发实现了以云空间为基础的研究性学习系统,完成了交互协作学习与思维智能导引的有效结合。基于学习案例进行应用效果测试,结果显示该研究能较好地提高研究性学习的学习效果。
Inquiry-based learning is essential for developing creative and practical ability, learning space in cloud environments brings a new way to inquiry-based learning implementation due to its dynamic provision of resource and service, friendly interaction, and space setting. Aiming at promoting deep integration of inquiry-based learning and learning cloud space, this paper analyzes the characteristics of inquiry-based learning in the learning cloud space, and an inquiry-based learning system architecture with the technical support of learning cloud space is proposed. For the better control of themes in the interaction and achieving learning objectives for learners, a method of calculating the semantic similarity of inquiry themes is designed, and the mechanism of thinking divergence and aggregation has been constructed. On the basis of Cloudstack, the inquiry-based leaming system has been designed and implemented to get the effective combination of interaction, exploration and intelligent thinking guidance. Finally, a case of course learning is put into practice, the experiment result shows that the research can improve inquiry-based learning.
出处
《中国电化教育》
CSSCI
北大核心
2015年第8期21-28,共8页
China Educational Technology
基金
国家科技支撑计划子课题"基于教育云空间的学习赋能技术研究"(课题编号:2013BAH72B01)资助
关键词
学习云空间
研究性学习
语义WEB
思维发散与聚集
Learning Cloud Space
Inquiry-based Learning
Semantic Web
Thinking Divergent and Aggregation
