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: Castro Aneas, Leandro, Aciar, Silvana, Reategui, Eliseo Berni
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
learning object
e-learning
recommendation
lessons plans
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/42368
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-42368
record_format dspace
spelling I19-R120-10915-423682023-06-26T14:06:55Z http://sedici.unlp.edu.ar/handle/10915/42368 Learning object recommendation for teachers creating lesson plans Castro Aneas, Leandro Aciar, Silvana Reategui, Eliseo Berni 2014-10 2014 2014-11-05T20:53:26Z en Ciencias Informáticas learning object e-learning recommendation lessons 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 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. XII Workshop de Tecnología Informática Aplicada en Educación Red de Universidades con Carreras de Informática (RedUNCI) Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
learning object
e-learning
recommendation
lessons plans
spellingShingle Ciencias Informáticas
learning object
e-learning
recommendation
lessons plans
Castro Aneas, Leandro
Aciar, Silvana
Reategui, Eliseo Berni
Learning object recommendation for teachers creating lesson plans
topic_facet Ciencias Informáticas
learning object
e-learning
recommendation
lessons plans
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.
format Objeto de conferencia
Objeto de conferencia
author Castro Aneas, Leandro
Aciar, Silvana
Reategui, Eliseo Berni
author_facet Castro Aneas, Leandro
Aciar, Silvana
Reategui, Eliseo Berni
author_sort Castro Aneas, Leandro
title Learning object recommendation for teachers creating lesson plans
title_short Learning object recommendation for teachers creating lesson plans
title_full Learning object recommendation for teachers creating lesson plans
title_fullStr Learning object recommendation for teachers creating lesson plans
title_full_unstemmed Learning object recommendation for teachers creating lesson plans
title_sort learning object recommendation for teachers creating lesson plans
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/42368
work_keys_str_mv AT castroaneasleandro learningobjectrecommendationforteacherscreatinglessonplans
AT aciarsilvana learningobjectrecommendationforteacherscreatinglessonplans
AT reateguieliseoberni learningobjectrecommendationforteacherscreatinglessonplans
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