{"title":"Disciplinary E-Tutoring Based on the Domain Ontology ONTO-TDM","authors":"Rosana Abdoune, Lydia Lazib, Farida Dahmani-Bouarab","doi":"10.1109/CSTE55932.2022.00033","DOIUrl":null,"url":null,"abstract":"Due to the development of the web and the emergence of new technologies, teaching and training methods continue to evolve, providing then a new way to learn. But this is not without its drawbacks. These new methods of learning, known as online or distance learning, sometimes cause learners to “isolate”, which can lead to abandonment and failure in their tuition process. To overcome this problem and provide additional help for both tutors and learners, a question answering system based on a domain ontology, called ONTO-TDM (Ontology for teaching domain modeling), for distance tutoring assistance is described in this paper. The tool is based on the principles of natural language processing technologies (NLP), similarity analysis, and a knowledge base specific to the learning domain, helping to better understand and contextualize the learner's request to confer adequate responses, thereby reducing the sense of isolation.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSTE55932.2022.00033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Due to the development of the web and the emergence of new technologies, teaching and training methods continue to evolve, providing then a new way to learn. But this is not without its drawbacks. These new methods of learning, known as online or distance learning, sometimes cause learners to “isolate”, which can lead to abandonment and failure in their tuition process. To overcome this problem and provide additional help for both tutors and learners, a question answering system based on a domain ontology, called ONTO-TDM (Ontology for teaching domain modeling), for distance tutoring assistance is described in this paper. The tool is based on the principles of natural language processing technologies (NLP), similarity analysis, and a knowledge base specific to the learning domain, helping to better understand and contextualize the learner's request to confer adequate responses, thereby reducing the sense of isolation.