Mobile Learning Applications: Exploring Location Sensing Mechanisms
- Autores
- Challiol, Cecilia; Lliteras, Alejandra Beatriz; Gordillo, Silvia Ethel
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión aceptada
- Descripción
- In this paper, we present an exploration of two location sensing mechanisms, such as QR codes and beacons, used in Location-based Learning Applications which are performed inside small indoor spaces (e.g. a classroom). The exploration of QR codes was carried out through an implementation of a Location-based Learning Application which was used by students between 7 and 11 years old inside of Primary Schools. Meanwhile, for the exploration of beacons, a functional prototype was made which was systematically tested by students of Faculty of Informatics of UNLP (Argentina). We analysed those characteristics that we have been learned related to how these mechanisms behave when they are used inside small indoor spaces because, in these cases, relevant places to provide learning contents are nearest from each other. We wish to create a discussion about the exploration of these two location sensing mechanisms. We expect that this discussion helps not only to design and develop Location-based Learning Applications, but also to improve authoring tools that are using to generate this kind of applications.
Publicado en: Agredo-Delgado V., Ruiz P. (eds) Human-Computer Interaction. HCI-COLLAB 2018. Communications in Computer and Information Science, vol 847. Springer, Cham - Materia
-
Ciencias de la Computación
location-based learning applications
sensing mechanisms
QR codes
beacons
learning content
mobile learning
HCI - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/9171
Ver los metadatos del registro completo
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Mobile Learning Applications: Exploring Location Sensing MechanismsChalliol, CeciliaLliteras, Alejandra BeatrizGordillo, Silvia EthelCiencias de la Computaciónlocation-based learning applicationssensing mechanismsQR codesbeaconslearning contentmobile learningHCIIn this paper, we present an exploration of two location sensing mechanisms, such as QR codes and beacons, used in Location-based Learning Applications which are performed inside small indoor spaces (e.g. a classroom). The exploration of QR codes was carried out through an implementation of a Location-based Learning Application which was used by students between 7 and 11 years old inside of Primary Schools. Meanwhile, for the exploration of beacons, a functional prototype was made which was systematically tested by students of Faculty of Informatics of UNLP (Argentina). We analysed those characteristics that we have been learned related to how these mechanisms behave when they are used inside small indoor spaces because, in these cases, relevant places to provide learning contents are nearest from each other. We wish to create a discussion about the exploration of these two location sensing mechanisms. We expect that this discussion helps not only to design and develop Location-based Learning Applications, but also to improve authoring tools that are using to generate this kind of applications.Publicado en: Agredo-Delgado V., Ruiz P. (eds) Human-Computer Interaction. HCI-COLLAB 2018. Communications in Computer and Information Science, vol 847. Springer, Cham2018info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/9171enginfo:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-05270-6_14info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:01Zoai:digital.cic.gba.gob.ar:11746/9171Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:01.491CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Mobile Learning Applications: Exploring Location Sensing Mechanisms |
title |
Mobile Learning Applications: Exploring Location Sensing Mechanisms |
spellingShingle |
Mobile Learning Applications: Exploring Location Sensing Mechanisms Challiol, Cecilia Ciencias de la Computación location-based learning applications sensing mechanisms QR codes beacons learning content mobile learning HCI |
title_short |
Mobile Learning Applications: Exploring Location Sensing Mechanisms |
title_full |
Mobile Learning Applications: Exploring Location Sensing Mechanisms |
title_fullStr |
Mobile Learning Applications: Exploring Location Sensing Mechanisms |
title_full_unstemmed |
Mobile Learning Applications: Exploring Location Sensing Mechanisms |
title_sort |
Mobile Learning Applications: Exploring Location Sensing Mechanisms |
dc.creator.none.fl_str_mv |
Challiol, Cecilia Lliteras, Alejandra Beatriz Gordillo, Silvia Ethel |
author |
Challiol, Cecilia |
author_facet |
Challiol, Cecilia Lliteras, Alejandra Beatriz Gordillo, Silvia Ethel |
author_role |
author |
author2 |
Lliteras, Alejandra Beatriz Gordillo, Silvia Ethel |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias de la Computación location-based learning applications sensing mechanisms QR codes beacons learning content mobile learning HCI |
topic |
Ciencias de la Computación location-based learning applications sensing mechanisms QR codes beacons learning content mobile learning HCI |
dc.description.none.fl_txt_mv |
In this paper, we present an exploration of two location sensing mechanisms, such as QR codes and beacons, used in Location-based Learning Applications which are performed inside small indoor spaces (e.g. a classroom). The exploration of QR codes was carried out through an implementation of a Location-based Learning Application which was used by students between 7 and 11 years old inside of Primary Schools. Meanwhile, for the exploration of beacons, a functional prototype was made which was systematically tested by students of Faculty of Informatics of UNLP (Argentina). We analysed those characteristics that we have been learned related to how these mechanisms behave when they are used inside small indoor spaces because, in these cases, relevant places to provide learning contents are nearest from each other. We wish to create a discussion about the exploration of these two location sensing mechanisms. We expect that this discussion helps not only to design and develop Location-based Learning Applications, but also to improve authoring tools that are using to generate this kind of applications. Publicado en: Agredo-Delgado V., Ruiz P. (eds) Human-Computer Interaction. HCI-COLLAB 2018. Communications in Computer and Information Science, vol 847. Springer, Cham |
description |
In this paper, we present an exploration of two location sensing mechanisms, such as QR codes and beacons, used in Location-based Learning Applications which are performed inside small indoor spaces (e.g. a classroom). The exploration of QR codes was carried out through an implementation of a Location-based Learning Application which was used by students between 7 and 11 years old inside of Primary Schools. Meanwhile, for the exploration of beacons, a functional prototype was made which was systematically tested by students of Faculty of Informatics of UNLP (Argentina). We analysed those characteristics that we have been learned related to how these mechanisms behave when they are used inside small indoor spaces because, in these cases, relevant places to provide learning contents are nearest from each other. We wish to create a discussion about the exploration of these two location sensing mechanisms. We expect that this discussion helps not only to design and develop Location-based Learning Applications, but also to improve authoring tools that are using to generate this kind of applications. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
acceptedVersion |
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https://digital.cic.gba.gob.ar/handle/11746/9171 |
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https://digital.cic.gba.gob.ar/handle/11746/9171 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-05270-6_14 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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marisa.degiusti@sedici.unlp.edu.ar |
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13.070432 |