Agent-based e-learning system research and implementation

Author(s):  
Ying-Han Fang ◽  
Lei Shao
Author(s):  
M. Ben Ammar ◽  
Adel M.Alim ◽  
Mahmoud Neji ◽  
Guy Gouardères

Author(s):  
Mohamed Ben Ammar ◽  
Mahmoud Neji ◽  
Adel M. Alimi

Affective computing is a new artificial intelligence area that deals with the possibility of making computers able to recognize human emotions in different ways. This chapter represents an implemented framework, which integrates this new area with an intelligent tutoring system. The authors argue that tutor agents providing socially appropriate affective behaviors would provide a new dimension for collaborative learning systems. The main goal is to analyse learner facial expressions and show how affective computing could contribute to learning interactions, both by recognizing learner emotions during learning sessions and by responding appropriately.


2013 ◽  
Vol 339 ◽  
pp. 318-322
Author(s):  
Chun Fei Zhang ◽  
Zhi Yi Fang

With the rapid development and wide application of information technology and internet technology, e-learning is a new way of teaching method in recent years, and it plays a significant role in the national education strategy. In this paper, an Agent-based individualized learning system is structured. And we also give the frame, algorithm, model and the knowledge representation of the system. Experimental results confirm the effectiveness of the model.


Author(s):  
Godfrey Omoda-Onyait ◽  
Jude T. Lubega ◽  
Gilbert Maiga ◽  
Richard O. Angole

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