Abstract—Decision Support is crucial in the function of
administrators as decision makers in any academic institution.
This study developed a decision support model for managing
college academic workload in State Universities and Colleges
(SUC) using a feed-forward Artificial Neural Network (ANN)
trained by a back propagation algorithm. The DS model offers a
flexible and strong predictive ability in assigning and
distributing academic workloads efficiently.
The researchers’ neural network based decision support model in assigning qualified faculty to handle specific courses in processing and identifying the best teacher to handle a particular subject requiring quality potentialities, its impact would transcend beyond what an ordinary teacher can afford to deliver. The model being statistically, technologically and scientifically based, pedagogically the academe in general can meet the expected learning performance level.
Index Terms—Decision support model, decision making, neural network, workload management.
L. T. Soriano is with Bicol State College of Applied Sciences and Technology, City of Naga, Philippines (e-mail: Ltsoriano@biscast.edu.ph).
J. N. B. Capucao is with Partido State University, Goa, Camarines Sur, 4421, Philippines (e-mail: email@example.com).
T. D. Palaoag is with the University of the Cordilleras, Baguio City, Philippines (e-mail: firstname.lastname@example.org).
Cite: Lorna T. Soriano, Joni Neil B. Capucao, and Thelma D. Palaoag, "Decision Support Model for Managing Academic Workload in State Universities and Colleges," International Journal of Information and Education Technology vol. 8, no. 7, pp. 491-495, 2018.