On Recommending Web 2.0 Tools to Personalise Learning
The paper aims to present research results on using Web 2.0 tools for learning personalisation. In the work, personalised Web 2.0 tools selection method is presented. This method takes into account student's learning preferences for content and communication modes tailored to the learning activ...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Vilnius University
2014-04-01
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| Series: | Informatics in Education |
| Subjects: | |
| Online Access: | https://infedu.vu.lt/doi/10.15388/infedu.2014.02 |
| _version_ | 1818022292791230464 |
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| author | Anita JUŠKEVIČIENĖ Eugenijus KURILOVAS |
| author_facet | Anita JUŠKEVIČIENĖ Eugenijus KURILOVAS |
| author_sort | Anita JUŠKEVIČIENĖ |
| collection | DOAJ |
| description | The paper aims to present research results on using Web 2.0 tools for learning personalisation. In the work, personalised Web 2.0 tools selection method is presented. This method takes into account student's learning preferences for content and communication modes tailored to the learning activities with a view to help the learner to quickly and accurately find the right educational tools, and to implement this method in prototype of knowledge-based recommender system. In the research, first of all, personalised e-learning technological peculiarities i.e. recommender systems applications for learning personalisation and those systems components were investigated. After that, selection methods for Web 2.0 tools suitable for implementing learning activities were analysed. The novel method of integrating Web 2.0 tools into personalised learning activities according to students learning styles was created, and prototype of the recommender system that implements the method proposed was developed. Finally, the expert evaluation of the developed system prototype that implements the method proposed was performed. |
| first_indexed | 2024-04-14T08:30:30Z |
| format | Article |
| id | doaj.art-ce29825ab6604c9993cec0396e5411be |
| institution | Directory Open Access Journal |
| issn | 1648-5831 2335-8971 |
| language | English |
| last_indexed | 2024-04-14T08:30:30Z |
| publishDate | 2014-04-01 |
| publisher | Vilnius University |
| record_format | Article |
| series | Informatics in Education |
| spelling | doaj.art-ce29825ab6604c9993cec0396e5411be2022-12-22T02:03:56ZengVilnius UniversityInformatics in Education1648-58312335-89712014-04-01131173110.15388/infedu.2014.02On Recommending Web 2.0 Tools to Personalise LearningAnita JUŠKEVIČIENĖ0Eugenijus KURILOVAS1Vilnius University Institute of Mathematics and Informatics Akademijos str. 4, LT-08663 Vilnius, LithuaniaVilnius University Institute of Mathematics and Informatics Akademijos str. 4, LT-08663 Vilnius, Lithuania Vilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, LithuaniaThe paper aims to present research results on using Web 2.0 tools for learning personalisation. In the work, personalised Web 2.0 tools selection method is presented. This method takes into account student's learning preferences for content and communication modes tailored to the learning activities with a view to help the learner to quickly and accurately find the right educational tools, and to implement this method in prototype of knowledge-based recommender system. In the research, first of all, personalised e-learning technological peculiarities i.e. recommender systems applications for learning personalisation and those systems components were investigated. After that, selection methods for Web 2.0 tools suitable for implementing learning activities were analysed. The novel method of integrating Web 2.0 tools into personalised learning activities according to students learning styles was created, and prototype of the recommender system that implements the method proposed was developed. Finally, the expert evaluation of the developed system prototype that implements the method proposed was performed.https://infedu.vu.lt/doi/10.15388/infedu.2014.02Web 2.0 toolspersonalisationVARK learning styleslearning activitiesontologyrecommender system |
| spellingShingle | Anita JUŠKEVIČIENĖ Eugenijus KURILOVAS On Recommending Web 2.0 Tools to Personalise Learning Informatics in Education Web 2.0 tools personalisation VARK learning styles learning activities ontology recommender system |
| title | On Recommending Web 2.0 Tools to Personalise Learning |
| title_full | On Recommending Web 2.0 Tools to Personalise Learning |
| title_fullStr | On Recommending Web 2.0 Tools to Personalise Learning |
| title_full_unstemmed | On Recommending Web 2.0 Tools to Personalise Learning |
| title_short | On Recommending Web 2.0 Tools to Personalise Learning |
| title_sort | on recommending web 2 0 tools to personalise learning |
| topic | Web 2.0 tools personalisation VARK learning styles learning activities ontology recommender system |
| url | https://infedu.vu.lt/doi/10.15388/infedu.2014.02 |
| work_keys_str_mv | AT anitajuskeviciene onrecommendingweb20toolstopersonaliselearning AT eugenijuskurilovas onrecommendingweb20toolstopersonaliselearning |