Design and implementation of an intelligent tutoring system for English instruction
This emotion based intelligent tutoring system for English instruction is designed to make up the lack of emotional factors in cognitive ability of traditional intelligent tutoring systems. Microsoft Agent is used as interactive platform in the system. Audio and image information is used as interactive methods. Result of emotional face image recognition is used as one of evaluation factors, to guide teaching strategies adjustment. During the teaching process, it could provide adaptable teaching strategy not only according to the test score but also current emotional study status of students.
Intelligent tutoring system Microsoft Agent speech recognition speech synthesis facial expression recognition
Zhiliang Wang Xuejing Gu Jie He Siyi Zheng Wei Wang
School of Information Engineering University of Science and Technology Beijing Beijing, China School of Information Engineering University of Science and Technology Beijing Beijing, China Colleg
国际会议
厦门
英文
166-169
2010-10-29(万方平台首次上网日期,不代表论文的发表时间)