Khan, S.N.; Mir, K.; Tahir, A.; Awan, A.; Nisa, Z.U.; Gillani, S.A. Allocation of Tutors and Study Centers in Distance Learning Using Geospatial Technologies. ISPRS Int. J. Geo-Inf.2018, 7, 185.
Khan, S.N.; Mir, K.; Tahir, A.; Awan, A.; Nisa, Z.U.; Gillani, S.A. Allocation of Tutors and Study Centers in Distance Learning Using Geospatial Technologies. ISPRS Int. J. Geo-Inf. 2018, 7, 185.
Khan, S.N.; Mir, K.; Tahir, A.; Awan, A.; Nisa, Z.U.; Gillani, S.A. Allocation of Tutors and Study Centers in Distance Learning Using Geospatial Technologies. ISPRS Int. J. Geo-Inf.2018, 7, 185.
Khan, S.N.; Mir, K.; Tahir, A.; Awan, A.; Nisa, Z.U.; Gillani, S.A. Allocation of Tutors and Study Centers in Distance Learning Using Geospatial Technologies. ISPRS Int. J. Geo-Inf. 2018, 7, 185.
Abstract
Allama Iqbal Open University (AIOU) is the largest distance learning institute of Pakistan and providing education to 1.4 million students. This is fairly a large setup across the country where students are geographically distributed. Currently the system works on a manual approach which is not efficient. Allocation of tutors and study centers to students plays a key role in distance learning for a better learning environment. Assigning tutors and study centers to distance learning students is a challenging task when there is huge geographical spread. The utilization of geospatial technologies in open and distance learning can fix allocation problems. This research analyzes the real data of twin cities Islamabad and Rawalpindi. The results show that the geospatial technologies can be used for efficient and proper resource utilization and allocation, which in turn can save the time and money. The overall idea fits into improved distance learning framework and related analytics.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
