Ranking Difficulty of Knowledge Units Based on Learning Dependency
Using knowledge maps to compute and rank the difficulty level of knowledge units can guide learners plan their learning activities more effectively. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty of knowledge units. We present the hierarchical structure and properties of knowledge maps, propose three hypotheses based on the correlation between the difficulty of knowledge units and learning dependency, and then provide a method for ranking knowledge units with objective and subjective difficulty. The experiment on the “plane geometry knowledge map shows that our methods can precisely calculate the difficulty of knowledge units.
Difficulty of knowledge units Knowledge map Objective difficulty Subjective difficulty
Jun Liu Sha Sha Qinghua Zheng Ling Chen
Department of Computer Science and Technology, Xi’an Jitaotong University MOE KLINNS Lab and SKLMS Lab, Xian Jiaotong University, Xian 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
77-82
2010-11-10(万方平台首次上网日期,不代表论文的发表时间)