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

Nguyen, Hien D.; Nhon, V.; Tran, Nha; Pham, Xuan Hau; Pham, Vuong T.

doi:10.1155/2020/9834218

Cited by 15 publications

(12 citation statements)

References 26 publications

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“…The IPSs are also emerging applications for teaching and learning in STEM education [15]. Those systems are equipped the knowledge base to support high-school students self-studying and training [16], especially in learning of mathematics.…”

Section: Related Workmentioning

confidence: 99%

Design an Intelligent System to automatically Tutor the Method for Solving Problems

Nguyen

Tran

Huan

et al. 2020

IJIE

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Nowadays, intelligent systems have been applied in many real-word domains. The Intelligent chatbot is an intelligent system, it can interact with the human to tutor how to work some activities. In this work, we design an architecture to build an intelligent chatbot, which can tutor to solve problems, and construct scripts for automatically tutoring. The knowledge base of the intelligent tutoring chatbot is designed by using the requirements of an Intelligent Problem Solver. It is the combination between the knowledge model of relations and operators, and the structures of hint questions and sample problems, which are practical cases. Based on the knowledge base and tutoring scripts, a tutoring engine is designed. The tutoring chatbot plays as an instructor for solving real-world problems. It simulates the working of the instructor to tutor the user for solving problems. By utilizing the knowledge base and reasoning, the architecture of the intelligent chatbot are emerging to apply in the real-world. It is used to build an intelligent chatbot to support the learning of high-school mathematics and a consultant system in public administration. The experimental results show the effectiveness of the proposed method in comparison with the existing systems.

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Section: Related Workmentioning

confidence: 99%

Design an Intelligent System to automatically Tutor the Method for Solving Problems

Nguyen

Tran

Huan

et al. 2020

IJIE

Self Cite

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“…An IPS in education can solve many kinds of exercises from basic to advanced kinds in the course. It has to satisfy these requirements [4], [6], [36], [48]:…”

Section: Introductionmentioning

confidence: 99%

“…• The program is useful for studying. For meeting these requirements, according to [4], [6], [7], [48], a method for building the knowledge base of IPS has to satisfy the following criteria:…”

Section: Introductionmentioning

confidence: 99%

“…Universality [4], [6], [48]: This criterion provides the flexibility of the representation method. The method can be applied to representing various knowledge domains [4], [6].…”

Section: Introductionmentioning

confidence: 99%

“…It can be used directly or improved with some little things to use. A model has to represent the foundation of the knowledge domain, including concepts, relations between concepts, and inference rules [48]. That foundation is a knowledge kernel as ontology.…”

Section: Introductionmentioning

confidence: 99%

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A Method for Knowledge Representation to Design Intelligent Problems Solver in Mathematics Based on Rela-Ops Model

et al. 2020

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Knowledge-base is a fundamental platform in the architecture of an intelligent system. Relations and operators are popular knowledge in practice knowledge domains. In this paper, we propose a method to represent the model by combining these kinds of knowledge, called the Rela-Ops model. This model includes foundation components consisting of concepts, relations, operators, and inference rules. It is built based on ontology and object-oriented approaches. Besides the structure, each concept of the Rela-Ops model is a class of objects which also have behaviors to solve problems on their own. The processing of algorithms for solving problems on the Rela-Ops model combines the knowledge of relations and operators in the reasoning. Furthermore, we also propose a knowledge model for multiple knowledge domains, in which each sub-domain has the form as the Rela-Ops model. These representation methods have been applied to build knowledge bases of Intelligent Problems Solver (IPS) in mathematics. The knowledge base of 2D-Analytical Geometry in a high-school is built by using the Rela-Ops model, and the knowledge base of Linear Algebra in university is designed by using the model for multiple knowledge domains. The IPS system can automatically solve basic and advanced exercises in respective courses. The reasoning of their solutions is done in a step-by-step approach. It is similar to the solving method by humans. The solutions are also pedagogical and suitable for the learner's level and easy to be used by students studying 2D-Analytical Geometry in high-school and Linear Algebra in university. INDEX TERMS Knowledge representation, knowledge-based systems, intelligent problem-solver, knowledge engineering.

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A Design Method for an Intelligent Tutoring System with Algorithms Visualization

Nguyen

Hoang

Triet

et al. 2023

Lecture Notes in Computer Science

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

Cited by 15 publications

References 26 publications

Design an Intelligent System to automatically Tutor the Method for Solving Problems

Design an Intelligent System to automatically Tutor the Method for Solving Problems

A Method for Knowledge Representation to Design Intelligent Problems Solver in Mathematics Based on Rela-Ops Model

A Design Method for an Intelligent Tutoring System with Algorithms Visualization

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