@article{jitl2023314,
author={{Saludares, Queeny Eliza D. and Namoco, Rhoda A.},
title={Optimizing Allocation and Distribution of Students¡¯ Assistance Among SUCs Using Analytic Network Process (ANP)},
journal={Journal of Innovations in Teaching and Learning},
volume={3},
number={1},
pages={19--22},
year={2023},
url={http://pubs.sciepub.com/jitl/3/1/4},
abstract={This study proposed an ANP model as a decision-making tool to aid in allocating and distributing the students¡¯ assistance among the respective colleges and the SHS department of the university. The criteria considered were (1) the total population of students for each college/department, (2) the availability of technology for online classes such as analog phones, smartphones, tablets, laptops, or desktop computers; and (3) the availability of internet connections such as broadband, direct subscription line (DSL), mobile data, piso-wifi/net or no internet connections. Consequently, priority proportions for each college/ department that would be a basis for allocating student assistance were obtained. Super Decisions software was utilized to generate the result of the ANP model. Lastly, to evaluate the robustness of the results, a sensitivity analysis was conducted.},
doi={10.12691/jitl-3-1-4}
publisher={Science and Education Publishing}
}
