Some Criteria of the Knowledge Representation Method for an Intelligent Problem Solver in STEM Education

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 hypo...

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Published inApplied Computational Intelligence and Soft Computing Vol. 2020; no. 2020; pp. 1 - 14
Main Authors Pham, Xuan Hau, Tran, Nha P., Do, Nhon V., Nguyen, Hien D., Pham, Vuong T.
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 2020
Hindawi
Hindawi Limited
Wiley
Subjects
Analysis
Criteria
Education
Hypotheses
Knowledge
Knowledge representation
Learning
Mathematics education
Methods
Ontology
Science education
Specification and description languages
STEM education
Students
Technical education
Technology education
Tutoring
United Kingdom
Vietnam
United Kingdom
Vietnam
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Summary: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.
ISSN:1687-9724
1687-9732
DOI:10.1155/2020/9834218