Intelligent profiling beyond grades using a stacking ensemble framework for student success prediction

Abstract The study integrated machine learning (ML) framework for predicting students’ success in academics via 2-phased experiments with emotional intelligence and personality traits. In the initial experiment, unsupervised learning (K-Means clustering) was utilized to unearth hidden success levels...

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Hlavní autoři:	Samuel Odoom, Eric Opoku Osei, Enock Quansah Effah, Amiru Bakariwie, Ahmed Adams Rufai
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-02-01
Edice:	Discover Education
Témata:	Student success prediction Emotional intelligence Personality traits Ensemble learning K-means clustering Stacking classifier
On-line přístup:	https://doi.org/10.1007/s44217-026-01277-4
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