BibTeX
@article{IJASEIT6283,
author = {Donny Hendrawan and Hanifah Nurul Fatimah and Claudya Carolina and Fasya Fauzani and Muhammad Azmi Malik Ariefa},
title = {The Construction of Computer-based Application of Working Memory Test for Early Age Children in Indonesia},
journal = {International Journal on Advanced Science, Engineering and Information Technology},
volume = {10},
number = {5},
year = {2020},
pages = {1806--1812},
keywords = {computer-based test; early age children; executive function; working memory.},
abstract = {Working memory (WM), a central component of executive function (EF) which facilitates the capability to store and modulate information, develops rapidly during early childhood, and has proven to contribute to children's academic achievement. WM generally has two types of measures, each of which mainly involves the WM's verbal and visuospatial aspect. However, research on the standardized and developed assessment of WM aspects for early age children in Indonesia remains inadequate, especially embedded with information technology. This study aimed to develop a WM measurement tool using a computer-based application test to support the integration between the computer-based and behavioral measurements of WM aspects in early age children. Construct validity of the WM computerized test was determined by comparing the conventional and computerized EF tests on 36 children (15 boys and 21 girls) age 48-72 months old. Two computerized WM tasks that specified WM's verbal aspect, namely the Backward Animal Task and Shining Star respectively, were administered individually to each child by a trained tester. The Spearman correlation analysis resulted in Shining Star as the most suitable computer-based WM task for early age children. Both conventional and computer-based measures of the visuospatial aspect of WM had similar task mechanisms and rules. They equivalently required visual and kinesthetic modalities, which emphasized the common nonverbal aspects of WM. This result provides an initiative for the evidence-based development of the computer-based WM test in Indonesia for early age children, which is critically important to help individuals with psychological and behavioral problems during Covid-19.},
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=6283},
doi = {10.18517/ijaseit.10.5.6283}
}
EndNote
%A Hendrawan, Donny
%A Fatimah, Hanifah Nurul
%A Carolina, Claudya
%A Fauzani, Fasya
%A Ariefa, Muhammad Azmi Malik
%D 2020
%T The Construction of Computer-based Application of Working Memory Test for Early Age Children in Indonesia
%B 2020
%9 computer-based test; early age children; executive function; working memory.
%! The Construction of Computer-based Application of Working Memory Test for Early Age Children in Indonesia
%K computer-based test; early age children; executive function; working memory.
%X Working memory (WM), a central component of executive function (EF) which facilitates the capability to store and modulate information, develops rapidly during early childhood, and has proven to contribute to children's academic achievement. WM generally has two types of measures, each of which mainly involves the WM's verbal and visuospatial aspect. However, research on the standardized and developed assessment of WM aspects for early age children in Indonesia remains inadequate, especially embedded with information technology. This study aimed to develop a WM measurement tool using a computer-based application test to support the integration between the computer-based and behavioral measurements of WM aspects in early age children. Construct validity of the WM computerized test was determined by comparing the conventional and computerized EF tests on 36 children (15 boys and 21 girls) age 48-72 months old. Two computerized WM tasks that specified WM's verbal aspect, namely the Backward Animal Task and Shining Star respectively, were administered individually to each child by a trained tester. The Spearman correlation analysis resulted in Shining Star as the most suitable computer-based WM task for early age children. Both conventional and computer-based measures of the visuospatial aspect of WM had similar task mechanisms and rules. They equivalently required visual and kinesthetic modalities, which emphasized the common nonverbal aspects of WM. This result provides an initiative for the evidence-based development of the computer-based WM test in Indonesia for early age children, which is critically important to help individuals with psychological and behavioral problems during Covid-19.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6283
%R doi:10.18517/ijaseit.10.5.6283
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 5
%@ 2088-5334
IEEE
Donny Hendrawan,Hanifah Nurul Fatimah,Claudya Carolina,Fasya Fauzani and Muhammad Azmi Malik Ariefa,"The Construction of Computer-based Application of Working Memory Test for Early Age Children in Indonesia," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 5, pp. 1806-1812, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.5.6283.
RefMan/ProCite (RIS)
TY - JOUR
AU - Hendrawan, Donny
AU - Fatimah, Hanifah Nurul
AU - Carolina, Claudya
AU - Fauzani, Fasya
AU - Ariefa, Muhammad Azmi Malik
PY - 2020
TI - The Construction of Computer-based Application of Working Memory Test for Early Age Children in Indonesia
JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 5
Y2 - 2020
SP - 1806
EP - 1812
SN - 2088-5334
PB - INSIGHT - Indonesian Society for Knowledge and Human Development
KW - computer-based test; early age children; executive function; working memory.
N2 - Working memory (WM), a central component of executive function (EF) which facilitates the capability to store and modulate information, develops rapidly during early childhood, and has proven to contribute to children's academic achievement. WM generally has two types of measures, each of which mainly involves the WM's verbal and visuospatial aspect. However, research on the standardized and developed assessment of WM aspects for early age children in Indonesia remains inadequate, especially embedded with information technology. This study aimed to develop a WM measurement tool using a computer-based application test to support the integration between the computer-based and behavioral measurements of WM aspects in early age children. Construct validity of the WM computerized test was determined by comparing the conventional and computerized EF tests on 36 children (15 boys and 21 girls) age 48-72 months old. Two computerized WM tasks that specified WM's verbal aspect, namely the Backward Animal Task and Shining Star respectively, were administered individually to each child by a trained tester. The Spearman correlation analysis resulted in Shining Star as the most suitable computer-based WM task for early age children. Both conventional and computer-based measures of the visuospatial aspect of WM had similar task mechanisms and rules. They equivalently required visual and kinesthetic modalities, which emphasized the common nonverbal aspects of WM. This result provides an initiative for the evidence-based development of the computer-based WM test in Indonesia for early age children, which is critically important to help individuals with psychological and behavioral problems during Covid-19.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6283
DO - 10.18517/ijaseit.10.5.6283
RefWorks
RT Journal Article
ID 6283
A1 Hendrawan, Donny
A1 Fatimah, Hanifah Nurul
A1 Carolina, Claudya
A1 Fauzani, Fasya
A1 Ariefa, Muhammad Azmi Malik
T1 The Construction of Computer-based Application of Working Memory Test for Early Age Children in Indonesia
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 5
YR 2020
SP 1806
OP 1812
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 computer-based test; early age children; executive function; working memory.
AB Working memory (WM), a central component of executive function (EF) which facilitates the capability to store and modulate information, develops rapidly during early childhood, and has proven to contribute to children's academic achievement. WM generally has two types of measures, each of which mainly involves the WM's verbal and visuospatial aspect. However, research on the standardized and developed assessment of WM aspects for early age children in Indonesia remains inadequate, especially embedded with information technology. This study aimed to develop a WM measurement tool using a computer-based application test to support the integration between the computer-based and behavioral measurements of WM aspects in early age children. Construct validity of the WM computerized test was determined by comparing the conventional and computerized EF tests on 36 children (15 boys and 21 girls) age 48-72 months old. Two computerized WM tasks that specified WM's verbal aspect, namely the Backward Animal Task and Shining Star respectively, were administered individually to each child by a trained tester. The Spearman correlation analysis resulted in Shining Star as the most suitable computer-based WM task for early age children. Both conventional and computer-based measures of the visuospatial aspect of WM had similar task mechanisms and rules. They equivalently required visual and kinesthetic modalities, which emphasized the common nonverbal aspects of WM. This result provides an initiative for the evidence-based development of the computer-based WM test in Indonesia for early age children, which is critically important to help individuals with psychological and behavioral problems during Covid-19.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6283
DO - 10.18517/ijaseit.10.5.6283
