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An In-Depth Methodology to Predict At-Risk Learners

Amal Ben Soussia, Azim Roussanaly, Anne Boyer. An In-Depth Methodology to Predict At-Risk Learners. In Tinne De Laet, Roland Klemke, Carlos Alario-Hoyos, Isabel Hilliger, Alejandro Ortega-Arranz, editors, Technology-Enhanced Learning for a Free, Safe, and Sustainable World - 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, Bolzano, Italy, September 20-24, 2021, Proceedings. Volume 12884 of Lecture Notes in Computer Science, pages 193-206, Springer, 2021. [doi]

Authors

Amal Ben Soussia

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Azim Roussanaly

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Anne Boyer

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