On Application of Case-Based Reasoning to Personalise Learning
The paper aims to present application of Educational Data Mining and particularly Case-Based Reasoning (CBR) for students profiling and further to design a personalised intelligent learning system. The main aim here is to develop a recommender system which should help the learners to create learning...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Vilnius University
2019-10-01
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| Series: | Informatics in Education |
| Subjects: | |
| Online Access: | https://infedu.vu.lt/doi/10.15388/infedu.2019.16 |
| _version_ | 1828378312428224512 |
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| author | Jelena MAMCENKO Eugenijus KURILOVAS Irina KRIKUN |
| author_facet | Jelena MAMCENKO Eugenijus KURILOVAS Irina KRIKUN |
| author_sort | Jelena MAMCENKO |
| collection | DOAJ |
| description | The paper aims to present application of Educational Data Mining and particularly Case-Based Reasoning (CBR) for students profiling and further to design a personalised intelligent learning system. The main aim here is to develop a recommender system which should help the learners to create learning units (scenarios) that are the most suitable for them. First of all, systematic literature review on application of CBR and its possible implementation to personalise learning was performed in the paper. After that, methodology on CBR application to personalise learning is presented where learning styles play a dominate role as key factor in proposed personalised intelligent learning system model based on students profiling and personalised learning process model. The algorithm (the sequence of steps) to implement this model is also presented in the paper. |
| first_indexed | 2024-04-14T08:25:14Z |
| format | Article |
| id | doaj.art-578d4c280c484e06b06171c5895fc96e |
| institution | Directory Open Access Journal |
| issn | 1648-5831 2335-8971 |
| language | English |
| last_indexed | 2024-04-14T08:25:14Z |
| publishDate | 2019-10-01 |
| publisher | Vilnius University |
| record_format | Article |
| series | Informatics in Education |
| spelling | doaj.art-578d4c280c484e06b06171c5895fc96e2022-12-22T02:04:06ZengVilnius UniversityInformatics in Education1648-58312335-89712019-10-0118234535810.15388/infedu.2019.16On Application of Case-Based Reasoning to Personalise LearningJelena MAMCENKO0Eugenijus KURILOVAS1Irina KRIKUN2Vilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, LithuaniaVilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, Lithuania; Vilnius University Institute of Data Science and Digital Technologies Akademijos str. 4, LT-08663 Vilnius, LithuaniaVilnius University Institute of Data Science and Digital Technologies Akademijos str. 4, LT-08663 Vilnius, LithuaniaThe paper aims to present application of Educational Data Mining and particularly Case-Based Reasoning (CBR) for students profiling and further to design a personalised intelligent learning system. The main aim here is to develop a recommender system which should help the learners to create learning units (scenarios) that are the most suitable for them. First of all, systematic literature review on application of CBR and its possible implementation to personalise learning was performed in the paper. After that, methodology on CBR application to personalise learning is presented where learning styles play a dominate role as key factor in proposed personalised intelligent learning system model based on students profiling and personalised learning process model. The algorithm (the sequence of steps) to implement this model is also presented in the paper.https://infedu.vu.lt/doi/10.15388/infedu.2019.16case-based reasoninglearning styleseducational data miningforecastingpersonalised learning system |
| spellingShingle | Jelena MAMCENKO Eugenijus KURILOVAS Irina KRIKUN On Application of Case-Based Reasoning to Personalise Learning Informatics in Education case-based reasoning learning styles educational data mining forecasting personalised learning system |
| title | On Application of Case-Based Reasoning to Personalise Learning |
| title_full | On Application of Case-Based Reasoning to Personalise Learning |
| title_fullStr | On Application of Case-Based Reasoning to Personalise Learning |
| title_full_unstemmed | On Application of Case-Based Reasoning to Personalise Learning |
| title_short | On Application of Case-Based Reasoning to Personalise Learning |
| title_sort | on application of case based reasoning to personalise learning |
| topic | case-based reasoning learning styles educational data mining forecasting personalised learning system |
| url | https://infedu.vu.lt/doi/10.15388/infedu.2019.16 |
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