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Evaluation of Attention and Concentration Using Mobile Computing

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@article{IJASEIT12631,
   author = {Laura-Ivoone Garay-Jiménez and Elena Fabiola Ruiz Ledesma and Enrique Carmona-García and Asucena Lozano Gutiérrez and Feggy Ostrosky Shejet},
   title = {Evaluation of Attention and Concentration Using Mobile Computing},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {1},
   year = {2021},
   pages = {408--416},
   keywords = {Neuropsychological test; automated evaluation; cognitive skills; education.},
   abstract = {

The educational trend toward personalized learning requires the teacher to monitor the learning process continuously. This article presents mobile computing to administer a battery of cognitive tests based on a standard neuropsychological assessment of attention and concentration derived from Neuropsi ©. Currently, specialists perform this test by observing, measuring time, and taking notes of the process to obtain the final scores. Considering the use of this test as an assessment of students' cognitive abilities in a class, the time required for application and evaluation is a challenge itself. As for overcoming this difficulty, the process has been automated through the development of software. The goal is to provide the test to several users simultaneously on their own mobile devices. Then, it is evaluated both attention and concentration on the subject during the solution of the exercises. Variants of the exercises were provided to extent the Neuropsi options. All the collected information is stored on a server. Moreover, the system provides individual and group profiles to the evaluator, such as a teacher or instructor. Likewise, the provided compendium allows the specialist to identify changes in attention and concentration performance and supports their additional recommendations, as well as to go in deep in the research of the cognitive process providing an initial condition evaluation. This work proved that the concept raised by software specialists, designers, and psychologists is feasible into an interdisciplinary team.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12631},    doi = {10.18517/ijaseit.11.1.12631} }

EndNote

%A Garay-Jiménez, Laura-Ivoone
%A Ruiz Ledesma, Elena Fabiola
%A Carmona-García, Enrique
%A Gutiérrez, Asucena Lozano
%A Shejet, Feggy Ostrosky
%D 2021
%T Evaluation of Attention and Concentration Using Mobile Computing
%B 2021
%9 Neuropsychological test; automated evaluation; cognitive skills; education.
%! Evaluation of Attention and Concentration Using Mobile Computing
%K Neuropsychological test; automated evaluation; cognitive skills; education.
%X 

The educational trend toward personalized learning requires the teacher to monitor the learning process continuously. This article presents mobile computing to administer a battery of cognitive tests based on a standard neuropsychological assessment of attention and concentration derived from Neuropsi ©. Currently, specialists perform this test by observing, measuring time, and taking notes of the process to obtain the final scores. Considering the use of this test as an assessment of students' cognitive abilities in a class, the time required for application and evaluation is a challenge itself. As for overcoming this difficulty, the process has been automated through the development of software. The goal is to provide the test to several users simultaneously on their own mobile devices. Then, it is evaluated both attention and concentration on the subject during the solution of the exercises. Variants of the exercises were provided to extent the Neuropsi options. All the collected information is stored on a server. Moreover, the system provides individual and group profiles to the evaluator, such as a teacher or instructor. Likewise, the provided compendium allows the specialist to identify changes in attention and concentration performance and supports their additional recommendations, as well as to go in deep in the research of the cognitive process providing an initial condition evaluation. This work proved that the concept raised by software specialists, designers, and psychologists is feasible into an interdisciplinary team.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12631 %R doi:10.18517/ijaseit.11.1.12631 %J International Journal on Advanced Science, Engineering and Information Technology %V 11 %N 1 %@ 2088-5334

IEEE

Laura-Ivoone Garay-Jiménez,Elena Fabiola Ruiz Ledesma,Enrique Carmona-García,Asucena Lozano Gutiérrez and Feggy Ostrosky Shejet,"Evaluation of Attention and Concentration Using Mobile Computing," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 1, pp. 408-416, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.1.12631.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Garay-Jiménez, Laura-Ivoone
AU  - Ruiz Ledesma, Elena Fabiola
AU  - Carmona-García, Enrique
AU  - Gutiérrez, Asucena Lozano
AU  - Shejet, Feggy Ostrosky
PY  - 2021
TI  - Evaluation of Attention and Concentration Using Mobile Computing
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 1
Y2  - 2021
SP  - 408
EP  - 416
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Neuropsychological test; automated evaluation; cognitive skills; education.
N2  - 

The educational trend toward personalized learning requires the teacher to monitor the learning process continuously. This article presents mobile computing to administer a battery of cognitive tests based on a standard neuropsychological assessment of attention and concentration derived from Neuropsi ©. Currently, specialists perform this test by observing, measuring time, and taking notes of the process to obtain the final scores. Considering the use of this test as an assessment of students' cognitive abilities in a class, the time required for application and evaluation is a challenge itself. As for overcoming this difficulty, the process has been automated through the development of software. The goal is to provide the test to several users simultaneously on their own mobile devices. Then, it is evaluated both attention and concentration on the subject during the solution of the exercises. Variants of the exercises were provided to extent the Neuropsi options. All the collected information is stored on a server. Moreover, the system provides individual and group profiles to the evaluator, such as a teacher or instructor. Likewise, the provided compendium allows the specialist to identify changes in attention and concentration performance and supports their additional recommendations, as well as to go in deep in the research of the cognitive process providing an initial condition evaluation. This work proved that the concept raised by software specialists, designers, and psychologists is feasible into an interdisciplinary team.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12631 DO - 10.18517/ijaseit.11.1.12631

RefWorks

RT Journal Article
ID 12631
A1 Garay-Jiménez, Laura-Ivoone
A1 Ruiz Ledesma, Elena Fabiola
A1 Carmona-García, Enrique
A1 Gutiérrez, Asucena Lozano
A1 Shejet, Feggy Ostrosky
T1 Evaluation of Attention and Concentration Using Mobile Computing
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 1
YR 2021
SP 408
OP 416
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Neuropsychological test; automated evaluation; cognitive skills; education.
AB 

The educational trend toward personalized learning requires the teacher to monitor the learning process continuously. This article presents mobile computing to administer a battery of cognitive tests based on a standard neuropsychological assessment of attention and concentration derived from Neuropsi ©. Currently, specialists perform this test by observing, measuring time, and taking notes of the process to obtain the final scores. Considering the use of this test as an assessment of students' cognitive abilities in a class, the time required for application and evaluation is a challenge itself. As for overcoming this difficulty, the process has been automated through the development of software. The goal is to provide the test to several users simultaneously on their own mobile devices. Then, it is evaluated both attention and concentration on the subject during the solution of the exercises. Variants of the exercises were provided to extent the Neuropsi options. All the collected information is stored on a server. Moreover, the system provides individual and group profiles to the evaluator, such as a teacher or instructor. Likewise, the provided compendium allows the specialist to identify changes in attention and concentration performance and supports their additional recommendations, as well as to go in deep in the research of the cognitive process providing an initial condition evaluation. This work proved that the concept raised by software specialists, designers, and psychologists is feasible into an interdisciplinary team.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12631 DO - 10.18517/ijaseit.11.1.12631