Author/Authors :
Nguyen, Hien D. University of Information Technology, Ho Chi Minh City, Vietnam , Do, Nhon V. Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam , Tran, Nha P. University of Transport and Communications, Campus in Ho Chi Minh City, Hanoi, Vietnam , Pham, Xuan Hau Quang Binh University - Ðồng Hới, Dong Hoi City, Quang Binh, Vietnam , Pham, Vuong T. Sai Gon University, Ho Chi Minh City, Vietnam
Abstract :
Nowadays, building intelligent systems for science, technology, engineering, and math (STEM) education is necessary to support the studying of learners. Intelligent problem solver (IPS) is a system that can be able to solve or tutor how to solve the problems automatically. Learners only declare hypothesis and goal of problems based on a sufficient specification language. They can request the program to solve it automatically or to give instructions that help them to solve it themselves. Knowledge representation plays a vital role in these kinds of intelligent systems. There are various methods for knowledge representation; however, they do not meet the requirements of an IPS in STEM education. In this paper, we propose the criteria of a knowledge model for an IPS in education. These criteria orient to develop a method for knowledge representation to meet actual requirements in practice, especially pedagogical requirements. For proving the effectiveness of these criteria, a knowledge model is also constructed. This model can satisfy these criteria and be applied to build IPS for courses, such as mathematics and physics.
