CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics
In this study, a Concept Question Answering system applied to the Computer Domain (CQACD) for intelligent tutoring is proposed. This system is a dialogue-based Intelligent Tutoring System (ITS) that allows the tutor and student with mixed-initiative and natural language to ask each other questions c...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9802991/ |
| _version_ | 1828316378526908416 |
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| author | Yu Wen Xinhua Zhu Lanfang Zhang |
| author_facet | Yu Wen Xinhua Zhu Lanfang Zhang |
| author_sort | Yu Wen |
| collection | DOAJ |
| description | In this study, a Concept Question Answering system applied to the Computer Domain (CQACD) for intelligent tutoring is proposed. This system is a dialogue-based Intelligent Tutoring System (ITS) that allows the tutor and student with mixed-initiative and natural language to ask each other questions concerning the basic computer knowledge in the <italic>Computer Basics</italic> course. CQACD is based on constructivist principles and encourages the learner to construct knowledge rather than merely receiving knowledge, which has the following characteristics: (a) this system employs a domain ontology with rich semantic relationships to model the basic computer knowledge and build up a concept-centric knowledge model, (b) uses a limited number of 80 input templates with description logics to acquire the intention of questions posed by students, (c) a textual entailment algorithm with semantic technologies is proposed to match the input template and assess the student’s contribution to improve the flexibility of the system, and (d) an ontology-driven dialogue management mechanism is proposed, which can quickly form the conversational content and conversational sequence. The experimental results show that CQACD can replace the teachers’ tutoring in large classes and can promote the learning of poor students in large classes better than teachers can. The paper reveals that the domain ontology with rich semantic relationships plays an important role in the Concept Question Answer System (CQAS). It can model CQAS’s discipline knowledge, provide structured domain knowledge for student model, template design and matching, and provide basic architectural architecture for dialogue management. |
| first_indexed | 2024-04-13T17:13:44Z |
| format | Article |
| id | doaj.art-3e54b83408aa4be0a1f3edbda4bb67c1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T17:13:44Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3e54b83408aa4be0a1f3edbda4bb67c12022-12-22T02:38:12ZengIEEEIEEE Access2169-35362022-01-0110672476726110.1109/ACCESS.2022.31854009802991CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich SemanticsYu Wen0Xinhua Zhu1https://orcid.org/0000-0003-4968-4039Lanfang Zhang2https://orcid.org/0000-0001-6904-8377Student Work Department, Guilin Tourism University, Guilin, ChinaSchool of Computer Science and Engineering, Guangxi Normal University, Guilin, ChinaFaculty of Education, Guangxi Normal University, Guilin, ChinaIn this study, a Concept Question Answering system applied to the Computer Domain (CQACD) for intelligent tutoring is proposed. This system is a dialogue-based Intelligent Tutoring System (ITS) that allows the tutor and student with mixed-initiative and natural language to ask each other questions concerning the basic computer knowledge in the <italic>Computer Basics</italic> course. CQACD is based on constructivist principles and encourages the learner to construct knowledge rather than merely receiving knowledge, which has the following characteristics: (a) this system employs a domain ontology with rich semantic relationships to model the basic computer knowledge and build up a concept-centric knowledge model, (b) uses a limited number of 80 input templates with description logics to acquire the intention of questions posed by students, (c) a textual entailment algorithm with semantic technologies is proposed to match the input template and assess the student’s contribution to improve the flexibility of the system, and (d) an ontology-driven dialogue management mechanism is proposed, which can quickly form the conversational content and conversational sequence. The experimental results show that CQACD can replace the teachers’ tutoring in large classes and can promote the learning of poor students in large classes better than teachers can. The paper reveals that the domain ontology with rich semantic relationships plays an important role in the Concept Question Answer System (CQAS). It can model CQAS’s discipline knowledge, provide structured domain knowledge for student model, template design and matching, and provide basic architectural architecture for dialogue management.https://ieeexplore.ieee.org/document/9802991/Dialogue-based ITSsdomain ontologyquestion-answering systemtemplate logicsontology learningNLP |
| spellingShingle | Yu Wen Xinhua Zhu Lanfang Zhang CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics IEEE Access Dialogue-based ITSs domain ontology question-answering system template logics ontology learning NLP |
| title | CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics |
| title_full | CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics |
| title_fullStr | CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics |
| title_full_unstemmed | CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics |
| title_short | CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics |
| title_sort | cqacd a concept question answering system for intelligent tutoring using a domain ontology with rich semantics |
| topic | Dialogue-based ITSs domain ontology question-answering system template logics ontology learning NLP |
| url | https://ieeexplore.ieee.org/document/9802991/ |
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