MAREEA - Evaluation Model of Mobile Augmented Reality Educational Approaches
Main Author: | Herpich, Fabrício |
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Other Authors: | Nunes, Felipe Becker, Petri, Giani, Nicolete, Priscila, Tarouco, Liane Margarida Rockenbach |
Format: | Dataset |
Terbitan: |
Mendeley
, 2019
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Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/csb6dbssdp |
ctrlnum |
0.17632-csb6dbssdp.3 |
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fullrecord |
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<dc><creator>Herpich, Fabrício</creator><title>MAREEA - Evaluation Model of Mobile Augmented Reality Educational Approaches</title><publisher>Mendeley</publisher><description>The insertion of technologies in the educational scope has fomented new educational resources and experiences to its users, able to aid in the process of teaching and learning in different areas. Among emerging technologies, the use of augmented reality on mobile devices has stood out because of the combination of enhanced multimedia features and mobile learning. However, it is essential that these educational approaches are properly evaluated in order to obtain evidence of their quality. This paper aims to present the proposal of a model of evaluation of educational approaches in mobile augmented reality, developed from previous studies and a methodology for the definition of the objective of evaluation, quality factors, dimensions, and evaluation items. The model was evaluated by 15 experts related to the area of concentration of the instrument and validated based on its assertions. The results were satisfactory and allowed to validate the construction of the model for future applications in the educational scope.</description><subject>Mixed Reality</subject><subject>Mobile Computing</subject><subject>Augmented Reality</subject><subject>Mobile Learning</subject><contributor>Nunes, Felipe Becker</contributor><contributor>Petri, Giani</contributor><contributor>Nicolete, Priscila</contributor><contributor>Tarouco, Liane Margarida Rockenbach</contributor><type>Other:Dataset</type><identifier>10.17632/csb6dbssdp.3</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/csb6dbssdp</relation><date>2019-09-06T13:30:33Z</date><recordID>0.17632-csb6dbssdp.3</recordID></dc>
|
format |
Other:Dataset Other |
author |
Herpich, Fabrício |
author2 |
Nunes, Felipe Becker Petri, Giani Nicolete, Priscila Tarouco, Liane Margarida Rockenbach |
title |
MAREEA - Evaluation Model of Mobile Augmented Reality Educational Approaches |
publisher |
Mendeley |
publishDate |
2019 |
topic |
Mixed Reality Mobile Computing Augmented Reality Mobile Learning |
url |
https:/data.mendeley.com/datasets/csb6dbssdp |
contents |
The insertion of technologies in the educational scope has fomented new educational resources and experiences to its users, able to aid in the process of teaching and learning in different areas. Among emerging technologies, the use of augmented reality on mobile devices has stood out because of the combination of enhanced multimedia features and mobile learning. However, it is essential that these educational approaches are properly evaluated in order to obtain evidence of their quality. This paper aims to present the proposal of a model of evaluation of educational approaches in mobile augmented reality, developed from previous studies and a methodology for the definition of the objective of evaluation, quality factors, dimensions, and evaluation items. The model was evaluated by 15 experts related to the area of concentration of the instrument and validated based on its assertions. The results were satisfactory and allowed to validate the construction of the model for future applications in the educational scope. |
id |
IOS7969.0.17632-csb6dbssdp.3 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
institution_id |
804 |
institution_type |
library:university library |
library |
Teknologi Pangan UNISI |
library_id |
2816 |
collection |
Artikel mulono |
repository_id |
7969 |
city |
INDRAGIRI HILIR |
province |
RIAU |
shared_to_ipusnas_str |
1 |
repoId |
IOS7969 |
first_indexed |
2020-04-08T08:28:34Z |
last_indexed |
2020-04-08T08:28:34Z |
recordtype |
dc |
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1686587745982480384 |
score |
17.538404 |