Academic Risk Profiling and Tailored Student Guidance Through Machine Learning in Kinshasa Universities
Educational data can help identify, before the end of a semester, academic trajectories that deserve timely attention. This study develops an academic risk profiling and tailored student guidance using machine learning techniques for universities in Kinshasa. A quantitative, experimental, and predictive design was appl...