Adaptive Representation of Digital Resources Search Results in Personal Learning Environment
| Autor: | Cyrille Suire, Ronan Champagnat, Pascal Estraillier, Daouda Sawadogo |
|---|---|
| Přispěvatelé: | Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR), Sawadogo, Daouda |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Process (engineering)
Computer science [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE] Personal learning environment Context (language use) 02 engineering and technology [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE] [INFO] Computer Science [cs] computer.software_genre User profile Resource (project management) [INFO.EIAH] Computer Science [cs]/Technology for Human Learning 020204 information systems 0202 electrical engineering electronic engineering information engineering Visual representation Resource management [INFO]Computer Science [cs] Relevance Digital resources Multimedia 020207 software engineering Digital library Smart environment [INFO.EIAH]Computer Science [cs]/Technology for Human Learning Adaptive representation computer |
| Zdroj: | 17th International Conference on Artificial Intelligence in Education (AIED 2015) 17th International Conference on Artificial Intelligence in Education (AIED 2015), Jun 2015, Madrid, Spain Lecture Notes in Computer Science ISBN: 9783319197722 AIED |
| Popis: | International audience; The massive explosion of digital resources available in the user’s personal environment creates many issues. Users aim to select among a mass of heterogeneous digital resources, the best one to use in the activity. Traditionally, this process is time consuming and requires a lot of effort for the user to optimize selecting parameters. That often makes unexploitable digital resources available in repositories or digital libraries. In this paper, we proposed an approach that allows a user to have new ways of interpreting the resource search results. We proposed a method for adaptive visual representation of these results based on the context of use and the user profile. This approach use an adaptive tf-idf scoring and adaptive visual representation to allow relevant digital resources selection. This study was conducted as part of the design of a personal environment for consolidated digital resource management called PRISE ( PeRsonal Interactive research Smart Environment). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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