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Title: Web-based Intelligent Tutoring System in Sudoku for Logic Training
Authors: Hui, Wing Sze (許詠詩)
Department: Department of Computer Science
Issue Date: 2010
Supervisor: Supervisor: Dr. Kwok, Lam For; First Reader: Dr. Lee, Kenneth Ka Chun; Second Reader: Dr. Yu, Yuen Tak
Subjects: Intelligent tutoring systems.
Web-based instruction -- Design.
Description: Nominated as OAPS (Outstanding Academic Papers by Students) paper by Department in 2010-11.
Abstract: A cast number of players is unaware of logic skills benefit from enjoying the international trended puzzle game – Sudoku. In this project, we proposed an Intelligent Tutoring System (ITS) that aims to develop the logic ability of players by solving the Sudoku Puzzle steps by steps. All of logical rules used and its deductive influence in solving the puzzle are reviewed or given by hints. The expert contains the domain knowledge on Sudoku, which is used to uncover all the cell values. The tutor model provides hints, which is most valuable, to the learner. The student model keeps tracks of information on the learner performance. It also summarizes and evaluates the performance of student.
Appears in Collections:Computer Science - Undergraduate Final Year Projects
OAPS - Dept. of Computer Science

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