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DOI: 10.14569/IJACSA.2018.090912
PDF

Model for Predicting Educational Domain Rate based on the Regional Level

Author 1: Arslan Tariq
Author 2: Iqra Tariq
Author 3: Aneela Abbas
Author 4: Muhammad Aadil Butt
Author 5: Maimoona Shahid
Author 6: Umair Muneer Butt

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

  • Abstract and Keywords
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Abstract: The geographic information system (GIS) is rapidly becoming the part of current technology trends. GIS can be used to identify the factors that become the reason for an individual to adopt a field or subject. We used GIS as a major tool with the other technologies to identify the key factors. This research has analyzed that mostly people used to migrate to other cities due to unavailability of resources in their own region. Collection of data was done with the help of Survey 123 through which we were able to collect location coordinates of participants. After that, Pilot study approach used to conduct this research. Results show` that mostly user preferred to move to other cities due to unavailability of programs in local institutes. The overall idea can be used to improvement of local institutes and this research can also be used for proper and efficient allocation of facilities and resources in a region, which in turn can save money and time.

Keywords: Geographic information system; education; domain; technology; region

Arslan Tariq, Iqra Tariq, Aneela Abbas, Muhammad Aadil Butt, Maimoona Shahid and Umair Muneer Butt, “Model for Predicting Educational Domain Rate based on the Regional Level” International Journal of Advanced Computer Science and Applications(IJACSA), 9(9), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090912

@article{Tariq2018,
title = {Model for Predicting Educational Domain Rate based on the Regional Level},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090912},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090912},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Arslan Tariq and Iqra Tariq and Aneela Abbas and Muhammad Aadil Butt and Maimoona Shahid and Umair Muneer Butt}
}



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.

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