{"title":"基于能力的DNA计算学习对象排序方法","authors":"D. Amina, Mohamed Ben Ali Yamina","doi":"10.1109/ICDATA52997.2021.00030","DOIUrl":null,"url":null,"abstract":"In the e- learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is difficult to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the generation of a personalized learning path for each learner according to his learner profile. This last one is represented through competencies. The proposed approach includes two components: (1) competency based approach that is used to represent the knowledge model and to deliver to the learner the learning path; and (2) a DNA computing approach based on a weighted graph is used to deliver a learning path to each learner. An example regarding the course of algorithmic is presented to demonstrate the effectiveness of the proposed design. Results show that competency based DNA computing approach can generate a personalized learning path successfully.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Competenty-Based Approach for Learning Objects sequencing using DNA computing\",\"authors\":\"D. Amina, Mohamed Ben Ali Yamina\",\"doi\":\"10.1109/ICDATA52997.2021.00030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the e- learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is difficult to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the generation of a personalized learning path for each learner according to his learner profile. This last one is represented through competencies. The proposed approach includes two components: (1) competency based approach that is used to represent the knowledge model and to deliver to the learner the learning path; and (2) a DNA computing approach based on a weighted graph is used to deliver a learning path to each learner. An example regarding the course of algorithmic is presented to demonstrate the effectiveness of the proposed design. Results show that competency based DNA computing approach can generate a personalized learning path successfully.\",\"PeriodicalId\":231714,\"journal\":{\"name\":\"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDATA52997.2021.00030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDATA52997.2021.00030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Competenty-Based Approach for Learning Objects sequencing using DNA computing
In the e- learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is difficult to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the generation of a personalized learning path for each learner according to his learner profile. This last one is represented through competencies. The proposed approach includes two components: (1) competency based approach that is used to represent the knowledge model and to deliver to the learner the learning path; and (2) a DNA computing approach based on a weighted graph is used to deliver a learning path to each learner. An example regarding the course of algorithmic is presented to demonstrate the effectiveness of the proposed design. Results show that competency based DNA computing approach can generate a personalized learning path successfully.