Pre-Generation of Student Module in Intelligent Tutoring System

Learning is one of the most important fields in the world to promote innovative ideas regarding education and research. Without tutoring system no one can get information of any new technologies. We proposed intelligent tutoring system(ITS) which can provide directly interaction with students without interference of human being .A large amount of researches have been used ITS for assessment, reforming of the learning objects and change of the learning object finding paths. Intelligent tutoring system will take place of proficient human tutors. We investigates and discuss all levels and provide feedback of the proposed system. Hence feedback phase produced learning than simple practice. Therefore we are analyzing learning system using ITS to show technology advancement to the world and show importance for the quality of work.

[1]  Vladan Devedzic,et al.  A model of multitutor ontology-based learning environments , 2004 .

[2]  Davide Fossati,et al.  Aggregation Improves Learning: Experiments in Natural Language Generation for Intelligent Tutoring Systems , 2005, ACL.

[3]  Kenneth R. Koedinger,et al.  Building Cognitive Tutors with Programming by Demonstration , 2005 .

[4]  Ta Htaik Thaw Intelligent Tutoring System For Mathematical Problems : Explanation Generations For Integration Problem (EGIP) , 2005 .

[5]  Surasak Mungsing,et al.  Design of Intelligent Tutoring System for Collaborative Problem Based Learning , 2009, IEEE ICT 2009.

[6]  Wan Zah Wan Ali,et al.  The Effect of an Intelligent Tutoring System (ITS) on Student Achievement in Algebraic Expression. , 2008 .

[7]  Xin Lu,et al.  Expert Tutoring and Natural Language Feedback in Intelligent Tutoring Systems , 2006, ICCE.

[8]  Kai Rasmussen Developing a Cognitive Rule-Based Tutor for the ASSISTment System , 2007 .

[9]  Niels Pinkwart,et al.  Using an Adaptive Collaboration Script to Promote Conceptual Chemistry Learning , 2008, Intelligent Tutoring Systems.

[10]  Fang Wei,et al.  A student model for an intelligent tutoring system helping novices learn object-oriented design , 2007 .

[11]  Li Ma,et al.  A Rule-Based Approach for Student Modeling , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

[12]  Jeremy E. Thompson Student Modeling in an Intelligent Tutoring System , 1996 .

[13]  Hwa-Shan Huang,et al.  Constructing a personalized e-learning system based on genetic algorithm and case-based reasoning approach , 2007, Expert Syst. Appl..

[14]  Zeqing Yang,et al.  The Application of Ontology Model in Intelligent Tutoring System , 2008, 2008 International Conference on Computer Science and Software Engineering.

[15]  Kurt VanLehn,et al.  The Andes Physics Tutoring System: Lessons Learned , 2005, Int. J. Artif. Intell. Educ..

[16]  Cory J. Butz,et al.  A web-based bayesian intelligent tutoring system for computer programming , 2006, Web Intell. Agent Syst..

[17]  Ladislav Samuelis,et al.  Notes on the Components for Intelligent Tutoring Systems , 2007 .

[18]  M. Siddappa,et al.  Intelligent Tutor Generator for Intelligent Tutoring System , 2008 .