Title :
A theoretical framework of pedagogical agents based on psychological incentive mechanism and Artificial Psychology theory
Author :
Tao Xiaome ; Niu Qinzhou ; Jackson, Mike ; Hu, Bin
Author_Institution :
Guilin Univ. of Technol., Guilin
Abstract :
This paper proposes an innovative teaching and learning theoretical framework based on psychological incentive mechanism and Artificial Psychology theory. Related works about these two areas will be addressed in section 2. This framework includes three type pedagogical agents, namely the Expert agent, the Mentor agent and the Motivator agent. This framework is intended to create a positive and personalized study environment for the learners with the sufficient consideration to the learnerpsilas emotion ingredient, learnerpsilas personal preference and the appropriate application of the pedagogical psychology. The goal of this framework is to stimulate the learnerspsila internal drive to promote them to be active in the learning process.
Keywords :
computer aided instruction; expert systems; multi-agent systems; psychology; teaching; artificial psychology theory; e-learning; expert agent; innovative teaching; learning process; mentor agent; motivator agent; psychological incentive mechanism; Atmosphere; Computer aided instruction; Costs; Databases; Education; Electronic learning; Humans; Pervasive computing; Psychology; Virtual reality;
Conference_Titel :
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-3616-3
Electronic_ISBN :
978-1-4244-2511-2
DOI :
10.1109/ITME.2008.4743901