scholarly journals A WEB-BASED MULTILINGUAL INTELLIGENT TUTOR SYSTEM BASED ON JACKSON'S LEARNING STYLES PROFILER AND EXPERT SYSTEMS

Author(s):  
H. MOVAFEGH GHADIRLI ◽  
M. RASTGARPOUR
2010 ◽  
Vol 8 (4) ◽  
pp. 66-80 ◽  
Author(s):  
Joel J.P.C. Rodrigues ◽  
Pedro F. N. João ◽  
Binod Vaidya

Intelligent tutoring systems are any computer systems encompassing interactive applications with some intelligence that support and facilitate the teaching-learning process. The intelligence of these systems is the ability to adapt to each student throughout his/her learning process. This paper presents an intelligent tutoring system, called EduTutor, created for the web-based Aulanet learning management system (LMS).The system architecture and its main characteristics are described in detail. EduTutor focuses on subjects for the first cycle of studies of the Portuguese primary education system, between the first and the fourth year. Its purpose is to facilitate the perception of the learning process of each student, individually, in a virtual environment, and as a study guide. Furthermore, this intelligent tutor system was designed and its architecture was prepared for being easily integrated in higher levels of studies, different subjects, and different languages. EduTutor was validated with a large set of real cases and is being used, with success, in the Aulanet LMS platform.


Author(s):  
Joel J.P.C. Rodrigues ◽  
Pedro F. N. João ◽  
Binod Vaidya

The system architecture and its main characteristics are described in detail. EduTutor focuses on subjects for the first cycle of studies of the Portuguese primary education system, between the first and the fourth year. Its purpose is to facilitate the perception of the learning process of each student, individually, in a virtual environment, and as a study guide. Furthermore, this intelligent tutor system was designed and its architecture was prepared for being easily integrated in higher levels of studies, different subjects, and different languages. EduTutor was validated with a large set of real cases and is being used, with success, in the Aulanet LMS platform.


Author(s):  
Sivaldo Joaquim ◽  
Ig Ibert Bittencourt ◽  
Rafael de Amorim Silva ◽  
Patrícia Leone Espinheira ◽  
Marcelo Reis

Author(s):  
Pi-Shan Hsu ◽  
Te-Jeng Chang

The objective of this research is to validate the algorithm of learning effort which is an indicator of a new real-time and non-interfering based diagnostic technique. IC3 Mentor, the adaptive e-learning platform fulfilling the requirements of intelligent tutor system, was applied to 165 university students. The learning records of the subjects who attended IC3 Mentor were converted into Characteristic Learning Effort (CLE) curves through the algorithms of learning effort. By evaluating CLE curves and questionnaire survey reports, the findings indicate that the learning effort algorithm is verified to be an effective real-time and non-interfering diagnostic technique. Furthermore, CLE curve is proven to be an effective user-friendly tool for learners and instructors in diagnosing learning progress under adaptive e-learning context. The CLE curve generated by the algorithm of learning effort is a visualized graphic tool which can be applied in the adaptive e-learning platform of education and industry fields.


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