An Adaptive Method Based on High-Level Petri Nets for E-Learning

References

[1] A. Dahbi, N. Elkamoun and A. Berraissoul, “Adaptation and Optimisation of Pedagogical Paths by Ants’s Algorithm,” ICTTA’06, 2nd Information and Communication Technologies, Damascus, October 2006, pp. 546-551.

[2] S. Gao and R. Dew, “Enhancing Web-Based Adaptive Learning with Colored Timed Petri Net,” Lecture Notes in Computer Science, Vol. 4798, 2007, pp. 177-185.
doi:10.1007/978-3-540-76719-0_20

[3] S. Gao, Z. Zhang and I. Hawryszkiewycz, “Supporting Adaptive Learning in Hypertext Environments: A High Level Timed Petri Net-Based Approach,” International Journal of Intelligent Systems Technologies and Applications, Vol. 4, No. 3-4, 2008, pp. 341-354.
doi:10.1504/IJISTA.2008.017277

[4] Y. Semet, E. Lutton and P. Collet, “Ant Colony Optimisation for E-Learning: Observing the Emergence of Pedagogic Suggestions,” Proceedings of the 2003 IEEE Swarm Intelligence Symposium, Indianapolis, 24-26 April 2003, pp. 46-52.

[5] L. de Marcos, J. J. Martínez and J. A. Gutierrez, “Swarm Intelligence in E-Learning: A Learning Object Sequencing Agent Based on Competencies,” Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, Atlanta, 12-16 July 2008, pp. 17-24.

[6] F. Zhu and J. Cao, “Learning Activity Sequencing in Personalized Education System,” Wuhan University Journal of Natural Sciences, Vol. 13, No. 4, 2008, pp. 461-465.
doi:10.1007/s11859-008-0416-6

[7] C. M. Chen, H. M. Lee and Y. H. Chen, “Personalized E-Learning System Using Item Response Theory,” Computers & Education, Vol. 44, No. 3, 2005, pp. 237-255.
doi:10.1016/j.compedu.2004.01.006

[8] N. Manouselis and D. Sampson, “Dynamic Knowledge Route Selection for Personalised Learning Environments Using Multiple Criteria,” 20th IASTED International Conference in Applied Informatics, Innsbruck, 18-21 February 2002, pp. 448-453.

[9] J.-N. Chen, Y.-M. Huang and W. C.-C. Chu, “Applying Dynamic Fuzzy Petri Net to Web Learning System,” Interactive Learning Environments, Vol. 13, No. 3, 2005, pp. 159-178. doi:10.1080/10494820500382810

[10] Y. C. Chang, Y. C. Huang and C. P. Chu, “B2 Model: A Browsing Behavior Model Based on High-Level Petri Nets to Generate Behavioral Patterns for E-Learning,” Expert Systems with Applications, Vol. 36, No. 10, 2009, pp. 12423-12440. doi:10.1016/j.eswa.2009.04.044

[11] J. M. Su, S. S. Tseng, C. Y. Chen, J. F. Weng and W. N. Tsai, “Constructing SCORM Compliant Course Based on High-Level Petri Nets,” Computer Standards & Interfaces, Vol. 28, No. 3, 2006, pp. 336-355.
doi:10.1016/j.csi.2005.04.001

[12] X. Q. Liu, M. Wu and J. X. Chen, “Knowledge Aggregation and Navigation High-Level Petri Nets-Based in E- Learning,” International Conference on Machine Learning and Cybernetics, Vol. 1, 2002, pp. 420-425.

[13] R. M. Felder and L. K. Silverman, “Learning and Teaching Styles in Engineering Education,” Engineering Education, Vol. 78, No. 7, 1988, pp. 674-681.

[14] P. García, A. Amandi, S. Schiaffino and M. Campo, “Evaluating Bayesian Networks’ Precision for Detecting Students’ Learning Styles,” Computers & Education, Vol. 49, No. 3, 2007, pp. 794-808.
doi:10.1016/j.compedu.2005.11.017

[15] T. I. Wang, K. T. Wang and Y. M. Huang, “Using a Style-Based Ant Colony System for Adaptive Learning,” Expert Systems with Applications, Vol. 34, No. 4, 2008, pp. 2449-2464. doi:10.1016/j.eswa.2007.04.014

[16] W. A. Drago and R. J. Wagner, “Vark Preferred Learning Styles and Online Education,” Management Research News, Vol. 27, No. 7, 2004, pp. 1-13.
doi:10.1108/01409170410784211

[17] T. Murata, “Petri Nets: Properties, Analysis and Applications,” Proceedings of the IEEE, Vol. 77, No. 4, 1989, pp. 541-580.

[18] P. Abdulla and A. Nylén, “Timed Petri Nets and BQOs,” Applications and Theory of Petri Nets, Vol. 2075, 2001, pp. 53-70. doi:10.1007/3-540-45740-2_5

[19] S. Christensen, L. Kristensen and T. Mailund, “Condensed State Spaces for Timed Petri Nets,” Proceedings of the 22nd International Conference on Application and Theory of Petri Nets, Newcastle, 25-29 June 2001, pp. 101-120.

[20] R. S. Shaw, “A Study of Learning Performance of E-Learning Materials Design with Knowledge Maps,” Computers & Education, Vol. 54, No. 1, 2010, pp. 253-264.
doi:10.1016/j.compedu.2009.08.007

[21] R. E. Walpole, R. H. Myers, S. L. Myers and K. Ye, “Probability and Statistics for Engineers and Scientists,” 7th Edition, Prentice Hall, Upper Saddle River, 2002.

[22] L. Wells, “Performance Analysis Using Coloured Petri Nets,” 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems, Fort Worth, 11-16 October 2002, pp. 217-221.

[23] K. Jensen, L. M. Kristensen and L. Wells, “Coloured Petri Nets and CPN Tools for Modelling and Validation of Concurrent Systems,” International Journal on Software Tools for Technology Transfer, Vol. 9, No. 3-4, 2007, pp. 213-254. doi:10.1007/s10009-007-0038-x

[24] A. Ratzer, L. Wells, H. Lassen, M. Laursen, J. Qvortrup, M. Stissing, M. Westergaard, S. Christensen and K. Jensen, “CPN Tools for Editing, Simulating, and Analysing Coloured Petri Nets,” Proceedings of the 24th International Conference on Applications and Theory of Petri Nets, Eindhoven, 23-27 June 2003, pp. 450-462.

[25] R. S. Shaw, “A Study of Learning Performance of E-Learning Materials Design with Knowledge Maps,” Computers & Education, Vol. 54, No. 1, 2010, pp. 253-264.
doi:10.1016/j.compedu.2009.08.007