Recompiling learning processes from event logs

作者：

Highlights：

• We extract a process structure from event logs using process mining.

• We obtain the rules that guide adaptive learning from these logs by means of decision tree learning.

• We developed an algorithm to recompile the extracted process structure and rules in IMS Learning Design (IMS LD).

• The proposed framework facilitates the reuse of units of learning from legacy and proprietary e-learning systems.

摘要

•We extract a process structure from event logs using process mining.•We obtain the rules that guide adaptive learning from these logs by means of decision tree learning.•We developed an algorithm to recompile the extracted process structure and rules in IMS Learning Design (IMS LD).•The proposed framework facilitates the reuse of units of learning from legacy and proprietary e-learning systems.

论文关键词：Learning flows discovery,Process mining,Adaptive rules mining,IMS Learning Design

论文评审过程：Received 3 September 2015, Revised 22 January 2016, Accepted 4 March 2016, Available online 10 March 2016, Version of Record 2 April 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.03.003