Vol. 20 / 2025 – International Conference on Virtual Learning
Web-based student academic performance predictor based on study skills and habits
Alan Karl S. GATDULA, Lanie B. LAUREANO, Rich Anjo M. CAPILOYAN, Apple Erika M. MEJOS
The purpose of the study is to develop a web-based student academic performance predictor using the study skills and habits. The development started with the creation of the predictive model for student academic performance based on study habits and the second stage was the development of the web-based student academic predictor which allows the capturing of current study habits and displays the predicted academic performance. A study habits dataset with a total of 373 instances was uploaded to the Statistical Package for the Social Sciences software where the multiple regression analysis was applied. Results revealed that out of 12 variables, only four variables were significant in determining the academic performance which are the following: health habits (H), goal setting (GS), preparation and follow-up (PF), and comprehension (C). The model reveals a strong positive relationship (R = 0.752) with 56.65% of GPA variance exp
Keywords:
Predictive Model
CITE THIS PAPER AS:
Alan Karl S. GATDULA,
Lanie B. LAUREANO,
Rich Anjo M. CAPILOYAN,
Apple Erika M. MEJOS,
"Web-based student academic performance predictor based on study skills and habits",
International Conference on Virtual Learning,
ISSN 2971-9291, ISSN-L 1844-8933,
vol. 20,
pp. 221-232,
2025.
https://doi.org/10.58503/icvl-v20y202518