Organization and constraints of a recommender system for MOOCS
Recommender Systems (RSs) are software tools providing suggestions for users about items likely to be of interest for them. MOOCs (Massive Open Online Courses) offer a vast amount of learning items to millions of users. Users face a challenging task of finding the suitable learning content, learning...
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| Format: | Article |
| Language: | English |
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Editura Universităţii "Petru Maior"
2014-05-01
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| Series: | Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș |
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| Online Access: | http://scientificbulletin.upm.ro/papers/2014-1/11_Radoiu%20Dumitru.pdf |
| _version_ | 1818788273534795776 |
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| author | Dumitru Rădoiu |
| author_facet | Dumitru Rădoiu |
| author_sort | Dumitru Rădoiu |
| collection | DOAJ |
| description | Recommender Systems (RSs) are software tools providing suggestions for users about items likely to be of interest for them.
MOOCs (Massive Open Online Courses) offer a vast amount of learning items to millions of users. Users face a challenging task of finding the suitable learning content, learning path and peer-learners for collaborative activities. Poor selections lead to very low completion rates, typically under 10%.
The paper assumes that a better decision-making process is likely to lead to a higher completion rate and discusses the organization and constraints of a Recommender Systems in a MOOCs context.
As the organization of a Learning Recommender System and the choice of algorithms represent the first two architecture design criteria for meaningful results, attention is given to this factors.
The paper argues that an effective Recommender System must focus on MOOCs specific type of items (learning items) and user behavior in MOOCs context and consequently, a number of particularities and constraints are identified and discussed.
In this paper, the term organization is used to describe how different components work together to form a system and the term architecture is used to describe a blue-print of how to actually build such a system. |
| first_indexed | 2024-12-18T14:21:03Z |
| format | Article |
| id | doaj.art-e995fc4a9bab44e6ab95188a1287c9fc |
| institution | Directory Open Access Journal |
| issn | 1841-9267 2285-438X |
| language | English |
| last_indexed | 2024-12-18T14:21:03Z |
| publishDate | 2014-05-01 |
| publisher | Editura Universităţii "Petru Maior" |
| record_format | Article |
| series | Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș |
| spelling | doaj.art-e995fc4a9bab44e6ab95188a1287c9fc2022-12-21T21:04:52ZengEditura Universităţii "Petru Maior"Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș1841-92672285-438X2014-05-01111576111Organization and constraints of a recommender system for MOOCSDumitru Rădoiu0“Petru Maior” University of Tîrgu Mureş Nicolae Iorga Street, no.1, 540088, Tîrgu Mureş, RomaniaRecommender Systems (RSs) are software tools providing suggestions for users about items likely to be of interest for them. MOOCs (Massive Open Online Courses) offer a vast amount of learning items to millions of users. Users face a challenging task of finding the suitable learning content, learning path and peer-learners for collaborative activities. Poor selections lead to very low completion rates, typically under 10%. The paper assumes that a better decision-making process is likely to lead to a higher completion rate and discusses the organization and constraints of a Recommender Systems in a MOOCs context. As the organization of a Learning Recommender System and the choice of algorithms represent the first two architecture design criteria for meaningful results, attention is given to this factors. The paper argues that an effective Recommender System must focus on MOOCs specific type of items (learning items) and user behavior in MOOCs context and consequently, a number of particularities and constraints are identified and discussed. In this paper, the term organization is used to describe how different components work together to form a system and the term architecture is used to describe a blue-print of how to actually build such a system.http://scientificbulletin.upm.ro/papers/2014-1/11_Radoiu%20Dumitru.pdfrecommender system organizationMOOCs |
| spellingShingle | Dumitru Rădoiu Organization and constraints of a recommender system for MOOCS Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș recommender system organization MOOCs |
| title | Organization and constraints of a recommender system for MOOCS |
| title_full | Organization and constraints of a recommender system for MOOCS |
| title_fullStr | Organization and constraints of a recommender system for MOOCS |
| title_full_unstemmed | Organization and constraints of a recommender system for MOOCS |
| title_short | Organization and constraints of a recommender system for MOOCS |
| title_sort | organization and constraints of a recommender system for moocs |
| topic | recommender system organization MOOCs |
| url | http://scientificbulletin.upm.ro/papers/2014-1/11_Radoiu%20Dumitru.pdf |
| work_keys_str_mv | AT dumitruradoiu organizationandconstraintsofarecommendersystemformoocs |