Yotta: a Knowledge Map Centric E-learning System
Current e-learning systems are primarily resource oriented, rather than cognition oriented. To reduce learners’ cognitive overload in e-learning, we proposed a novel e-learning system Yotta tackling the problem of knowledge acquisition, knowledge presentation, and knowledge resources management. The granularity for knowledge acquisition in Yotta is based on knowledge units that are the smallest integral learning objects in a specific domain. Knowledge presentation and navigation in Yotta is based on knowledge maps, which can exhibit knowledge and the intrinsic knowledge relations at both concept level and knowledge unit level. Automatic knowledge unit extraction and knowledge map construction techniques are also discussed in this paper. Yotta allows for huge concurrent access and enormous resource storage, as it is deployed on a cloud platform with the Hadoop distributed file system. The Yotta demo has already been implemented on our campus network, and has been approved by hundreds of students. Yotta offers new ideas for building e-learning systems, and its core techniques still require further study.
e-learning knowledge unit knowledge map cloud platform Hadoop DFS
Qinghua Zheng Yanan Qian Jun Liu
MOE KLINNS Lab and SKLMS Lab, Xi’an Jiaotong University, Xian, 710049, China Department of Computer Science and Technology, Xi’an Jiaotong University, 710049, China
国际会议
2010 IEEE International Conference on e-Business Engineering(2010年电子商务工程国际研讨会 ICEBE 2010)
上海
英文
42-49
2010-11-10（万方平台首次上网日期，不代表论文的发表时间）