Product update
AI-powered student success forecasting: early warning
October 4, 2024
Product update
AI-powered student success forecasting: early warning
October 4, 2024
Bilsa's new artificial intelligence module offers early intervention by predicting student success.
Bilsa Software broke new ground in the education sector and introduced an artificial intelligence-based student success prediction system. This system can predict students' future academic performance by analyzing their current data.
The system evaluates the student's past exam grades, absenteeism data, homework submission rates, course participation levels and social activity data together. Machine learning algorithms detect patterns in this data and create a "success risk score" for each student.
Students with high risk scores are automatically reported to the guidance unit. The system lists risk factors in detail and offers possible intervention recommendations. For example, it may recommend additional lessons for a student who shows a downward trend in mathematics, or a parent meeting recommendation for a student who shows an increase in absenteeism.
In the pilot program carried out in 50 schools, positive development was observed in 73% of at-risk students, thanks to the early warning system. Teachers stated that they were able to make more targeted and effective interventions thanks to the insights provided by the system.