| dc.creator | Castro Aneas, Leandro | |
| dc.creator | Aciar, Silvana | |
| dc.creator | Reategui, Eliseo Berni | |
| dc.date | 2014-10 | |
| dc.date | 2014 | |
| dc.date | 2014-11-05T20:53:26Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/42368 | |
| dc.description | E-learning is one of the most popular and beneficial uses of the Internet today. However, it presents a problem known as the "information overload". Current systems of e-learning stored too many contents: on various topics, for different ages, etc..; therefore users often are not sure how to find what they are needing between all the contents available. And this problem is even greater when considering that most current e-learning systems have simple search engines as tools to find resources. In this paper a new algorithm that incorporates recommendations of learning objects from a repository on an e-learning system is presented. At the end, a case study is performed to evaluate the proposal. Techniques of artificial intelligence are used to filter and customize information and recommended items. | |
| dc.description | XII Workshop de Tecnología Informática Aplicada en Educación | |
| dc.description | Red de Universidades con Carreras de Informática (RedUNCI) | |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
| dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | learning object | |
| dc.subject | e-learning | |
| dc.subject | recommendation | |
| dc.subject | lessons plans | |
| dc.title | Learning object recommendation for teachers creating lesson plans | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
