Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning
E-Learning as one of the learning support facilities provides various content types and interaction models inside. This wide range of content types inside e-Learning can be used for accommodating differences in learning styles among the students. In this research, we develop concept mapping between...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2014
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/101146/1/2014_AIMS.pdf |
| _version_ | 1797032851123732480 |
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| author | Kusumawardani, Sri Suning Prakoso, Robertus Sonny Santosa, Paulus Insap |
| author_facet | Kusumawardani, Sri Suning Prakoso, Robertus Sonny Santosa, Paulus Insap |
| author_sort | Kusumawardani, Sri Suning |
| collection | UGM |
| description | E-Learning as one of the learning support facilities provides various content types and interaction models inside. This wide range of content types inside e-Learning can be used for accommodating differences in learning styles among
the students. In this research, we develop concept mapping between student characteristics and categories by Felder-Silverman Learning Style Model and appropriate content inside a Moodle-based e-Learning. This mapping is represented in the ontology and then implemented in Moodle-based e-Learning
system for giving content recommendation to students based on their learning styles. There are some concepts that become basic definition of learning styles and e-Learning contents, and also some rules that is used for inferring content recommendation from the basic definition |
| first_indexed | 2024-03-13T22:44:57Z |
| format | Conference or Workshop Item |
| id | oai:generic.eprints.org:101146 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-13T22:44:57Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1011462015-02-25T07:21:57Z https://repository.ugm.ac.id/101146/ Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning Kusumawardani, Sri Suning Prakoso, Robertus Sonny Santosa, Paulus Insap Information Technology E-Learning as one of the learning support facilities provides various content types and interaction models inside. This wide range of content types inside e-Learning can be used for accommodating differences in learning styles among the students. In this research, we develop concept mapping between student characteristics and categories by Felder-Silverman Learning Style Model and appropriate content inside a Moodle-based e-Learning. This mapping is represented in the ontology and then implemented in Moodle-based e-Learning system for giving content recommendation to students based on their learning styles. There are some concepts that become basic definition of learning styles and e-Learning contents, and also some rules that is used for inferring content recommendation from the basic definition 2014-11 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/101146/1/2014_AIMS.pdf Kusumawardani, Sri Suning and Prakoso, Robertus Sonny and Santosa, Paulus Insap (2014) Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning. In: Second International Conference on Artificial Intelligence, Modelling, and Simulation, 18-20 November 2014, Madrid, Spain. |
| spellingShingle | Information Technology Kusumawardani, Sri Suning Prakoso, Robertus Sonny Santosa, Paulus Insap Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning |
| title | Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning |
| title_full | Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning |
| title_fullStr | Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning |
| title_full_unstemmed | Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning |
| title_short | Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-Learning |
| title_sort | using ontology for providing content recommendation based on learning styles inside e learning |
| topic | Information Technology |
| url | https://repository.ugm.ac.id/101146/1/2014_AIMS.pdf |
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