No Student Left in Limbo: Multi-Level Clustering for Success Prediction in a Latin American University
Published in AIED 2026, WideAIED Track, Communications in Computer and Information Science, Springer, pp. 63–77, 2026
Abstract
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Author: Erich Giusseppe Soto Parada, Santiago Martínez Novoa, Nicolás Klopstock Triana, David Alejandro Fuquen Florez, Fabian C. Peña, Marcela Hernández Hoyos, Juan Pablo Reyes Year: 2026 Publication Type: Paper presented at AIED 2026 (27th International Conference on Artificial Intelligence in Education, WideAIED track), Seoul, South Korea. Published by Springer in Communications in Computer and Information Science, Proceedings Part II, pp. 63-77
Citation
Soto Parada, E. G., Martínez Novoa, S., Klopstock Triana, N., Fuquen Florez, D. A., Peña, F. C., Hernández Hoyos, M., & Reyes, J. P. (2026). No Student Left in Limbo: Multi-Level Clustering for Success Prediction in a Latin American University. In Artificial Intelligence in Education (AIED 2026, WideAIED Track), Communications in Computer and Information Science, pp. 63-77. Springer. https://doi.org/10.1007/978-3-032-29791-4_5