It is suggested that ML-guided prompt routing can improve perceived relevance of instructional materials while remaining transparent and easy to calibrate and integrate interpretable ML predictions with prompt-engineered LLMs can automate individualized content generation and improve learning outcomes.
This report presents a reproducible study of student dropout and score prediction using the Open University Learning Analytics Dataset (OULAD) and the code, experiments and outputs contained in the provided Jupyter notebook. The OULAD tables were joined and student-level features were engineered by aggregating Virtual...
Sunil P. Patel, Hemant N. Patel, Jigar V. Patel· International journal of com...· 0 citations
The present paper explores some of the most important determinants of academic achievement and assesses several predictive models based on the Student Performance Factors (SPF) dataset and implies that the monitoring of attendance should become the central element of any academic early warning system.
Shang-Jia Wang· Mathematical Modeling and Al...· 0 citations
The findings demonstrate the capability of AI models in minimising dropout risks and enhancing academic performance through prompt, data-informed assistance.
LMSs (Learning management systems) are widely used in educational institutions. They are software systems for cloud-based training that are offered locally, remotely, and on demand. As technological costs in higher education decrease, a significant obstacle to online learning is the high cost of creating its content. L...
V. S, S. R., T. P. et al.· 2026 7th International Confe...· 0 citations
An ensemble model that combines three ML algorithms Random Forest, K-nearest Neighbors, and ADABOOST is proposed that is higher than the accuracies of the compared models and integrated through a voting mechanism.
H. Hassan, B. Mohammed, Sakar Omer Khdr et al.· 0 citations
A pilot project in which students in a statistics course within a data science engineering program created culturally diverse multiple-choice questions, generated answers using LLMs, and applied statistical methods to assess model accuracy is presented, supporting a cultural injection hypothesis.
Denis Iorga, Razvan Muntean, Mihai Masala et al.· Electronics· 0 citations
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