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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Arijo: Location-Specific Data Crowdsourcing Web Application as a Curriculum Supplement

Author 1: Justin Banusing
Author 2: Cedrick Jason Cruz
Author 3: Peter John Flores
Author 4: Eisen Ed Briones
Author 5: Gerald Salazar
Author 6: Rhydd Balinas
Author 7: Serafin Farinas

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.090219

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 2, 2018.

  • Abstract and Keywords
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Abstract: Smart devices are quickly becoming more accessible to the general public. With the proper tools, they can be used to supplement the work of educators. According to studies by Beeland Jr. and Roussou, learning through interaction has been considered to be effective by both students and teachers. This study aimed to develop an interactive curriculum supplement for smart devices in the form of a Location-specific Data Crowdsourcing Web Application (Arijo) which teaches students how to conduct experiments and upload their results to the internet for archival purposes. Arijo was developed with a combination of the Appsheet framework, Adobe Photoshop, and Google Maps. Three core functionalities were programmed: data input/output, data interpretation, and information dissemination. Arijo was able to perform its intended features, such as recording and displaying data within specific locations, along with displaying guides on how to conduct an experiment. Arijo was able to fulfill its main objective, to be a curriculum supplement, through the aforementioned features. In the future, Arijo may be expanded to support more year levels and multiple curriculums because of its modular nature.

Keywords: Web application; smart devices; data crowdsourcing; curriculum supplement

Justin Banusing, Cedrick Jason Cruz, Peter John Flores, Eisen Ed Briones, Gerald Salazar, Rhydd Balinas and Serafin Farinas, “Arijo: Location-Specific Data Crowdsourcing Web Application as a Curriculum Supplement” International Journal of Advanced Computer Science and Applications(IJACSA), 9(2), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090219

@article{Banusing2018,
title = {Arijo: Location-Specific Data Crowdsourcing Web Application as a Curriculum Supplement},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090219},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090219},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {2},
author = {Justin Banusing and Cedrick Jason Cruz and Peter John Flores and Eisen Ed Briones and Gerald Salazar and Rhydd Balinas and Serafin Farinas}
}


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