Mobile learning: perspectives.

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Title: Mobile learning: perspectives.
Alternate Title: Aprendizaje móvil: perspectivas.
Authors: Torres Diaz, Juan Carlos1 jctorres@utpl.edu.ec, Moro, Alfonso Infante2 alfonso.infante@uhu.es, Torres Carrión, Pablo Vicente1 pvtorres@utpl.edu.ec
Source: RUSC: Revista de Universidad y Sociedad del Conocimiento. Jan2015, Vol. 12 Issue 1, p38-49. 12p.
Subject Terms: *Mobile learning, *Artificial intelligence, *Intelligent tutoring systems, *Social networks, Mobile apps
Abstract (English): From a technical perspective, the future of learning is defined by four axes around which technological and methodological efforts revolve. These axes are mobility, interaction, artificial intelligence and technology based resources such as augmented reality and games applied to learning. Combining them means creating a model of mobile, interactive and intelligent scenarios that take advantage of the spaces and times available to the learner. The various technologies are already available yet used separately in different educational experiences. It is therefore crucial to combine and integrate them into didactic models wherein the learning attained by students is significant. This article discusses these technologies and proposes an integrative model that enables a framework of reference for didactic work to be established. It concludes by highlighting the need to experiment with technologies and to apply the results to teaching-learning models using alternative interaction schema, and the urgency of having intelligent tutoring systems to make tutoring available on a massive scale. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): El futuro del aprendizaje, desde una perspectiva técnica, está integrado por cuatro ejes que lo definen y sobre los que se articulan esfuerzos tecnológicos y metodológicos. Estos ejes son: la movilidad, la interacción, la inteligencia artificial y recursos basados en tecnología como la realidad aumentada y los juegos aplicados al aprendizaje. Su combinación supone la creación de un modelo de escenarios móviles, interactivos e inteligentes que aprovechan todos los espacios y tiempos disponibles para el aprendiente. Las distintas tecnologías, cada una por su lado, ya están disponibles y son utilizadas en diversas experiencias educativas; lo que se hace necesario es la conjugación de estas a través de modelos didácticos en los que el aprendizaje alcanzado por los estudiantes sea significativo. En este artículo se discuten estas tecnologías y se plantea un modelo de integración que posibilita el establecimiento de un marco referencial de trabajo didáctico. Se concluye la necesidad de experimentar tecnologías y plasmar los resultados en modelos de enseñanza-aprendizaje que utilicen esquemas de interacción alternativos y la urgencia de contar con sistemas tutoriales inteligentes para masificar la tutoría. [ABSTRACT FROM AUTHOR]
Copyright of RUSC: Revista de Universidad y Sociedad del Conocimiento is the property of Fundacio per a la Universitat Oberta de Catalunya and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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DbLabel: Education Research Complete
An: 100666351
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PubType: Academic Journal
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  Label: Title
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  Data: Mobile learning: perspectives.
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  Data: Aprendizaje móvil: perspectivas.
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  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Torres+Diaz%2C+Juan+Carlos%22">Torres Diaz, Juan Carlos</searchLink><relatesTo>1</relatesTo><i> jctorres@utpl.edu.ec</i><br /><searchLink fieldCode="AR" term="%22Moro%2C+Alfonso+Infante%22">Moro, Alfonso Infante</searchLink><relatesTo>2</relatesTo><i> alfonso.infante@uhu.es</i><br /><searchLink fieldCode="AR" term="%22Torres+Carrión%2C+Pablo+Vicente%22">Torres Carrión, Pablo Vicente</searchLink><relatesTo>1</relatesTo><i> pvtorres@utpl.edu.ec</i>
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  Data: <searchLink fieldCode="JN" term="%22RUSC%3A+Revista+de+Universidad+y+Sociedad+del+Conocimiento%22">RUSC: Revista de Universidad y Sociedad del Conocimiento</searchLink>. Jan2015, Vol. 12 Issue 1, p38-49. 12p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Intelligent+tutoring+systems%22">Intelligent tutoring systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: From a technical perspective, the future of learning is defined by four axes around which technological and methodological efforts revolve. These axes are mobility, interaction, artificial intelligence and technology based resources such as augmented reality and games applied to learning. Combining them means creating a model of mobile, interactive and intelligent scenarios that take advantage of the spaces and times available to the learner. The various technologies are already available yet used separately in different educational experiences. It is therefore crucial to combine and integrate them into didactic models wherein the learning attained by students is significant. This article discusses these technologies and proposes an integrative model that enables a framework of reference for didactic work to be established. It concludes by highlighting the need to experiment with technologies and to apply the results to teaching-learning models using alternative interaction schema, and the urgency of having intelligent tutoring systems to make tutoring available on a massive scale. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: El futuro del aprendizaje, desde una perspectiva técnica, está integrado por cuatro ejes que lo definen y sobre los que se articulan esfuerzos tecnológicos y metodológicos. Estos ejes son: la movilidad, la interacción, la inteligencia artificial y recursos basados en tecnología como la realidad aumentada y los juegos aplicados al aprendizaje. Su combinación supone la creación de un modelo de escenarios móviles, interactivos e inteligentes que aprovechan todos los espacios y tiempos disponibles para el aprendiente. Las distintas tecnologías, cada una por su lado, ya están disponibles y son utilizadas en diversas experiencias educativas; lo que se hace necesario es la conjugación de estas a través de modelos didácticos en los que el aprendizaje alcanzado por los estudiantes sea significativo. En este artículo se discuten estas tecnologías y se plantea un modelo de integración que posibilita el establecimiento de un marco referencial de trabajo didáctico. Se concluye la necesidad de experimentar tecnologías y plasmar los resultados en modelos de enseñanza-aprendizaje que utilicen esquemas de interacción alternativos y la urgencia de contar con sistemas tutoriales inteligentes para masificar la tutoría. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of RUSC: Revista de Universidad y Sociedad del Conocimiento is the property of Fundacio per a la Universitat Oberta de Catalunya and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
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      – Type: doi
        Value: 10.7238/rusc.v12i1.1944
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 12
        StartPage: 38
    Subjects:
      – SubjectFull: Mobile learning
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Intelligent tutoring systems
        Type: general
      – SubjectFull: Social networks
        Type: general
      – SubjectFull: Mobile apps
        Type: general
    Titles:
      – TitleFull: Mobile learning: perspectives.
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          Name:
            NameFull: Torres Diaz, Juan Carlos
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            NameFull: Moro, Alfonso Infante
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            NameFull: Torres Carrión, Pablo Vicente
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              M: 01
              Text: Jan2015
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              Y: 2015
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