Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 2 April 2018 / Approved: 3 April 2018 / Online: 3 April 2018 (04:29:44 CEST)

A peer-reviewed article of this Preprint also exists.

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.

Journal reference: ISPRS Int. J. Geo-Inf. 2018, 7, 185
DOI: 10.3390/ijgi7050185

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.

Subject Areas

geospatial technologies; distance learning; resource allocation; AIOU

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