AI Can Predict Student Academic Performance Based on Social Media Subscriptions
A team of Russian researchers, including scientists from HSE University, used AI to analyse 4,500 students’ subscriptions to VK social media communities. The study found that algorithms can accurately identify both high-performing students and those struggling with their studies. The paper has been published in IEEE Access.
Artificial Intelligence Can Now Predict Students’ Educational Outcomes Based on Their VK Posts and Tweets
The new model, created by computational social scientist Ivan Smirnov of HSE University, predicts the academic success of Russian high school students with an accuracy of 94%. The model generates its predictions based on users’ distinctive vocabulary and speech patterns, and the predictions have strongly correlated with students’ Unified State Exam (USE) scores.
Academic Performance Shapes Student Social Networks
Based on data from the VKontakte social network, researchers have found a relationship between students' academic performance and their closest social environment.