Science Journal of Education
Volume 8, Issue 1, February 2020, Pages: 27-31
Received: Feb. 29, 2020;
Published: Apr. 14, 2020
Views 152 Downloads 149
Yang Yang, Information Center, Hubei Polytechnic Institute, Xiaogan, China
With the development of information technology such as Artificial Intelligent and mobile computing, various kinds of education concepts or products have become a reality which great promote the development of educational innovation. Nowadays more and more attention are put on the reform of teaching mode, such as MOOC, SPOC, Micro-Course and so on. These teaching modes have tremendous advantages over traditional teaching on facilitating the students’ study, enhancing their learning interest and broadening their horizons. However, the problem of lacking of platform support for the integration of these teaching models still exists. In order to solve this problem, this article propose a model of intelligent teaching system, named ITS for short. The ITS could be regarded as a platform or a system but also a new generation of innovation teaching environment, consisting of software platform and hardware devices. Compared with the traditional classroom teaching, the intelligent teaching system gives emphasis on virtual teaching online and offline, in and out of class. In terms of the definition listed above, this article presents a modeling and simulation of intelligent teaching system basing on agent technique, targeting all components concerned, such as knowledge base, network education system, intelligent teaching platform and some hardware devices. The simulation proves that the modeling of the intelligent teaching system is an efficient way to enhance the quality of teaching and improve the teaching effect, and the intelligent teaching system has the potential to become an application product in the market.
Research on Modeling and Simulation of Agent-based Intelligent Teaching System, Science Journal of Education.
Vol. 8, No. 1,
2020, pp. 27-31.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Barbara Kerr, “The flipped classroom in engineering education: A survey of the research,” Proceedings of 2015 International Conference on Interactive Collaborative Learning (ICL). 20-24 September 2015, pp. 815-818.
Han, J., Zhao, W., Jiang, Q., Oubibi, M., & Hu, X. (2019). Intelligent Tutoring System Trends 2006-2018: A Literature Review. 2019 Eighth International Conference on Educational Innovation through Technology (EITT).
Lin H, Xie S, Xiao Z, et al. Adaptive Recommender System for an Intelligent Classroom Teaching Model [J]. International Journal of Emerging Technologies in Learning (iJET), 2019, 14 (05).
Michael Wooldridge, Nicholas R. Jennings, Intelligent agents: theory and practice. The Knowledge Engineering Review, Vol. 10: 2, 1995, 115-152.
Yoav Shoham, Agent-oriented programming, Artificial Intelligence 60 (1993) 51-92.
C. Macal and M. North, "Introductory tutorial: Agent-based modeling and simulation," Proceedings of the Winter Simulation Conference 2014, Savanah, GA, 2014, pp. 6-20.
Klügl, F., &Bazzan, A. L. C. Agent-Based Modeling and Simulation. AI Magazine, 2012, 33 (3), 29.
Cao J, Wang X, Das S K. A framework of using cooperating mobile agents to achieve load sharing in distributed web server groups [J]. Future generation computer systems, 2004, 20 (4): p. 591-603.
Yuan, L., Dai, F., & Huang, C. (2009). Intelligent Agent-Based Remote Education System. 2009 First International Workshop on Education Technology and Computer Science.
Hong H, Kinshuk D, He X, et al. Application of Mobile agents in Web-based Learning environment [J]. Computer Assisted Instruction, 2001: 7.
Jafari A. Conceptualizing Intelligent Agents For Teaching and Learning [J]. Educause Quarterly, 2002, 25 (3): 28-34.
Baylor, A. L. (2002). Agent-based learning environments for investigating teaching and learning. Journal of Educational Computing Research, 26 (3), 249-270.
Valk J, Witteveen C. Multi-agent Coordination in Planning. PRICAI 2002: Trends in Artificial Intelligence, 7th Pacific Rim International Conference on Artificial Intelligence, Tokyo, Japan, August 18-22, 2002, Proceedings. DBLP, 2002.
Corkill D D. Collaborating Software: Blackboard and Multi-Agent Systems & the Future [J]. 2003.
G. S. Ntloedibe-Kuswani. Mobile Phones As Support For Distance Learning. IADIS International Conference e-Learning 2008, Amsterdam, The Netherlands, July 22-25, 2008. Proceedings.