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Allocation of Tutors and Study Centers in Distance Learning Using Geospatial Technologies

Author:
Khan, Shahid Nawaz, Mir, Kamran, Tahir, Ali, Awan, Arshad, Nisa, Zaib un, Gillani, Syeda Areeba
Source:
ISPRS international journal of geo-information 2018 v.7 no.5
ISSN:
2220-9964
Subject:
cities, distance education, learning, students, Pakistan
Abstract:
Allama Iqbal Open University (AIOU) is Pakistan’s largest distance learning institute, providing education to 1.4 million students. This is a fairly large setup across a country where students are highly geographically distributed. Currently, the system works using a manual approach, which is not efficient. Allocation of tutors and study centers to students plays a key role in creating a better learning environment for distance learning. Assigning tutors and study centers to distance learning students is a challenging task when there is a huge geographic spread. Using geospatial technologies in open and distance learning can fix allocation problems. This research analyzes real data from the twin cities Islamabad and Rawalpindi. The results show that geospatial technologies can be used for efficient and proper resource utilization and allocation, which in turn can save time and money. The overall idea fits into an improved distance learning framework and related analytics.
Agid:
6491824