Deep Learning for Predicting University Academic Fees in a Semi-Urban Area
Journal Title: American Journal of Education and Technology (AJET) - Year 2023, Vol 3, Issue 1
Abstract
Academic fees are an annual amount that students must pay in return for the training they receive. These fees can change according to several factors. Among these factors, some can influence the increase of tuition fees, while others can ensure that fees are moderate. Therefore, this research aimed to analyze these factors and integrate them as predictors in a deep-learning model for predicting university tuition fees. Hence, the authors used quantitative analysis based on secondary data on tuition fees at the Université de l’Assomption au Congo (UAC). These data were used to develop two regressive neural network models, namely the three-hidden-layer neural network and the four-hidden-layer neural network, to determine the best model for prediction and deployment purposes. The metrics used to evaluate the performance of these two models were mean absolute error, mean square error, root mean square error and coefficient of determination. The results revealed that academic costs increase as a student moves up the promotion ladder. After developing these models, although they all performed successively at 95.3% and 95.6%, the hidden 4-layer model was deployed. The predictors used as features were six: academic year, promotion, tuition fees, dissertation fees, partial time lecturers fees and equipment fees.
Authors and Affiliations
Mpia Heritier Nsenge, Kanduki Mystere Kivuyirwa, Kitakya Ange Katya
Keywords
Related Articles
- EP ID EP731684
- DOI https://doi.org/10.54536/ajet.v3i1.2307
- Views 82
- Downloads 0
Exploring Innovative Approaches and Interventions to Address Misconceptions and Promote Effective Visual Arts Education in Secondary Schools in Ghana
Visual arts education is important in developing students’ creativity, critical thinking, and cultural awareness. However, in Ghana, visual arts subjects at the secondary school level often need help with challenges such...
The Interest of Undergraduate Students in Co-curricular Activities in Relation to their Leadership Skills
The study explores the levels of interest of undergraduate students in Co-curricular Activities and their level of Leadership skills about their gender, stream of education and locality. The investigator collected data f...
Authoritative Parenting: The Best Style in Children’s Learning
The study purposes to analyses the influence of parents’ roles in their children’s learning, and claim the suitable parenting style with argumentations. The parents’ roles or accountability in children’s overall learning...
Deep Learning for Predicting University Academic Fees in a Semi-Urban Area
Academic fees are an annual amount that students must pay in return for the training they receive. These fees can change according to several factors. Among these factors, some can influence the increase of tuition fees,...
Using Mobile-Supported Self-Learning Modules in Developing Oral Communication Skills of Grade 9 ESL Students
With the recent pandemic, the development of oral communication skills became more challenging to address. Hence, the study sought to determine the effect of mobile-supported SLMs on oral communication skills and identif...