Abstract:

With the popularization of computer and communication technologies, researchers have attempted to develop methods, tools, and environment for computer-assisted learning. Moreover, previous research has addressed the importance of adaptive learning in computer-assisted instructions. In studying the effect of adaptive learning, previous research mainly focused on improving student learning performance based only on single-source of personalized information, such as learning performance (including diagnosing student learning problem), learning style, and cognitive style of individual students, to determine the difficulty levels, learning paths or presentation styles of subject materials. While the integration among multi-sources of personalized information are seldom taken into consideration. To cope with this issue, in this study, an innovative adaptive learning approach is proposed by basing upon two main sources of personalized information, that is, learning problems and personal learning style. To diagnose the students’ learning problem, the results of testing answers are analyzed. In addition, to determine the personal learning style of the students, the Felder & Soloman (1991) Index of Learning Style (ILS) questionnaire is employed for adjusting the presentation style of subject material based on personalized learning problems of the students. Based on the innovative approach, an intelligent diagnostic and adaptive tutoring system has been developed; moreover, a practical application on a Mathematics course on high school students is going to be conducted to demonstrate the effectiveness of this innovative approach.

Keywords:

Intelligent tutoring system, computer-assisted learning, adaptive learning, learning style.