TY - GEN
T1 - Directed-hypergraph based E-learning process modeling supporting dynamic-personalized-combined resource optimization
AU - Sun, Xuedong
AU - Li, Zhonghua
AU - Hu, Shicheng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/23
Y1 - 2014/12/23
N2 - In order to recommend the combined e-learning resources to a learner according to his objective and knowledge background automatically and dynamically, an e-learning process model was presented. The directed-hyper graph was used to model the process which connected the learner, the knowledge and the learning resources. The structure of an e-learning process, the personalized resource requirement corresponding to different kinds of knowledge backgrounds, and the relationship among the process, the learner and the resource environment were modeled graphically and formally. Then how the model support the combined resource optimization personally and dynamically was discussed by using the hyper graph theory and the semantics appended to the model. A set of modeling and optimizing rules and theorems were given too. Through contrasting with the method provided by Acampora, it showed the effectiveness of this method. Finally, the application and limitation of this method was discussed.
AB - In order to recommend the combined e-learning resources to a learner according to his objective and knowledge background automatically and dynamically, an e-learning process model was presented. The directed-hyper graph was used to model the process which connected the learner, the knowledge and the learning resources. The structure of an e-learning process, the personalized resource requirement corresponding to different kinds of knowledge backgrounds, and the relationship among the process, the learner and the resource environment were modeled graphically and formally. Then how the model support the combined resource optimization personally and dynamically was discussed by using the hyper graph theory and the semantics appended to the model. A set of modeling and optimizing rules and theorems were given too. Through contrasting with the method provided by Acampora, it showed the effectiveness of this method. Finally, the application and limitation of this method was discussed.
KW - directed-hypergraph based
KW - distance education and telelearning
KW - e-learning process modeling
KW - intelligent tutoring systems
KW - personalized combined resource optimization
UR - https://www.scopus.com/pages/publications/84925408985
U2 - 10.1109/ICDH.2014.68
DO - 10.1109/ICDH.2014.68
M3 - 会议稿件
AN - SCOPUS:84925408985
T3 - Proceedings - 2014 International Conference on Digital Home, ICDH 2014
SP - 324
EP - 330
BT - Proceedings - 2014 International Conference on Digital Home, ICDH 2014
A2 - Luo, Xiaonan
A2 - Luo, Zhongxuan
A2 - Ni, Lionel M.
A2 - Wang, Ruomei
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Digital Home, ICDH 2014
Y2 - 28 November 2014 through 30 November 2014
ER -