Some Criteria of the Knowledge Representation Method for an Intelligent Problem Solver in STEM Education. (13th May 2020)

• Record Type: Journal Article
• Authors: Nguyen, Hien D.; Do, Nhon V.; Tran, Nha P.; Pham, Xuan Hau; Pham, Vuong T.
• Other Names: Minutolo Aniello Academic Editor.
• Is Part Of: Applied computational intelligence and soft computing. Volume 2020(2020)
• Publication Date: 2020-05-13
• Subjects: Computational intelligence -- Periodicals; Soft computing -- Periodicals; 006.305
• DOI: 10.1155/2020/9834218
• Languages: English
• ISSNs: 1687-9724

Abstract

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.