A WEB-BASED COHORT COMPUTATION SYSTEM FOR TRACKING STUDENT PROGRESS AND DROPOUT RATES
Leader: BRUCES, WILBRENROSE
Members: DNAPO, DIVINE, LASTIMOSO, MARITES, LIQUIN, JANN FLERRY, MAG-USARA, ROSELLA, OCHEA, MARIA ETHEL, POCONG, MARIA ROSARIO
Year: 2025
Course: BIT-CT 4A NIGHT
Thesis Advisory Committee:
Chairman: ROSALEA FENINA A. MARGALLO Adviser: MARNELL ESCABAS Statistician: JOHNRY P. DAYUPAY Member1: MARY ANGELIE P. VELOS Member2: REY PHILIP B. GIMENA
Panel of Examiners:
Chairman: ROSALEA FENINA A. MARGALLO Adviser: MARNELL ESCABAS Statistician: JOHNRY P. DAYUPAY Member1: MARY ANGELIE P. VELOS Member2: REY PHILIP B. GIMENA
This system is designed to assist higher education institutions in tracking student progress and analyzing dropout rates across academic terms. It enables professors and academic administrators to monitor student retention through real-time data inputs and automated computation of cohort survival rates. Students can input their academic records per semester, giving institutions a transparent view of academic engagement and early indicators of dropout risk.