| Title |
Knowledge representation for designing an Intelligent Tutoring System in learning of courses about Algorithms |
| ID_Doc |
41632 |
| Authors |
Le, TT; Luu, ST; Nguyen, HD; Do, NV |
| Title |
Knowledge representation for designing an Intelligent Tutoring System in learning of courses about Algorithms |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/apcc47188.2019.9026411 |
| Abstract |
Nowadays building the intelligent systems for education plays an important role to construct the smart city. Knowledge engineering provides technology to build the Intelligent Tutoring System (ITS) supporting for learning. In this paper, a model for representing the knowledge of courses about algorithms is presented. This knowledge model is the integrating between ontology and frames, called Integ-model. Based on the structure of Integ-model, problems about querying on the knowledge and visualizing of algorithms have been proposed and solved. The Integ-model is applied to organize the knowledge base of the intelligent system for learning Data Structures and Algorithms. This system can illustrate algorithms 's process and the working of data structures in the course. It also helps learners to query the content of lessons in the course. |
| Author Keywords |
intelligent tutoring system; knowledge engineering; ontology integration; knowledge representation; information retrieval; visualization; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000555264500057 |
| WoS Category |
Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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