A Shortest Learning Path Selection Algorithm in E-learning
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Intelligent web-based learning system with personalized learning path guidance
Computers & Education
Personalized Learning Path Delivery: Models and Example of Application
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
A Three-Tier Profiling Framework for Adaptive e-Learning
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
Courseware recommendation in e-learning system
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
Personalising learning through prerequisite structures derived from concept maps
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
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With the explosion of knowledge nowadays, it is urgent for people to learn new things quickly and effectively. To meet such a requirement, how we can find a suitable path for learning has become a crucial issue. Meanwhile, in our daily life, it is important and necessary for people from various backgrounds to achieve a certain task (eg. survey, report, business plan, etc.) collaboratively in the form of the group. For these group-based task, it often requires members to learn new knowledge by using e-learning system. In this paper, we focus on addressing the problem on discovering an appropriate study path to facilitate a group of people rather than a single person for effective learning under e-learning environment. Furthermore, we propose a group model to capture the expertise of each member. Based on this model, a groupized learning path discovering (GLPD) algorithm is proposed in order to help a group of learners to grasp new knowledge effectively and efficiently. Finally, we conduct a practical experiment whose result verifies the soundness of our approach.