Learning object recommendation for teachers creating lesson plans
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...
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| Autores principales: | , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2014
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/42368 |
| Aporte de: |
| Sumario: | 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. |
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