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Research Article | Open Access |

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
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 2 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090219

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.

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How to Cite this Article

Banusing, J., Cruz, C. J., Flores, P. J., Briones, E. E., Salazar, G., Balinas, R., & Farinas, S. (2018). Arijo: Location-Specific Data Crowdsourcing Web Application as a Curriculum Supplement. International Journal of Advanced Computer Science and Applications, 9(2). https://doi.org/10.14569/IJACSA.2018.090219

Banusing, Justin, et al.. "Arijo: Location-Specific Data Crowdsourcing Web Application as a Curriculum Supplement." International Journal of Advanced Computer Science and Applications, vol. 9, no. 2, 2018, https://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},
  volume    = {9},
  number    = {2},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Justin Banusing and Cedrick Jason Cruz and Peter John Flores and Eisen Ed Briones and Gerald Salazar and Rhydd Balinas and Serafin Farinas},
  doi       = {10.14569/IJACSA.2018.090219},
  url       = {https://doi.org/10.14569/IJACSA.2018.090219}
}

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