DOI : https://doi.org/10.18517/ijaseit.11.1.12631

Evaluation of Attention and Concentration Using Mobile Computing

Laura-Ivoone Garay-Jiménez (1), Elena Fabiola Ruiz Ledesma (2), Enrique Carmona-García (3), Asucena Lozano Gutiérrez (4), Feggy Ostrosky Shejet (5)
(1) Instituto Politécnico Nacional, Unidad Profesdional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, CDMX, México
(2) Instituto Politécnico Nacional, Escuela Superior de Cómputo, Av. Juan de Dios Bátiz s/n, CDMX, 07320, México
(3) Instituto Politécnico Nacional, Unidad Profesdional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, CDMX, México
(4) Universidad Nacional Autónoma de México, Facultad de Psicología, CDMX, México
(5) Universidad Nacional Autónoma de México, Facultad de Psicología, CDMX, México
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How to cite (IJASEIT) :
Garay-Jiménez, Laura-Ivoone, et al. “Evaluation of Attention and Concentration Using Mobile Computing”. International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 1, Feb. 2021, pp. 408-16, doi:10.18517/ijaseit.11.1.12631.
Citation Format :
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.

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