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Publisher
Computer Science and Information Systems(1)
L@S 2021 - Proceedings of the 8th ACM Conference on Learning @ Scale(1)
Analyzing Feature Importance for a Pbkp_redictive Undergraduate Student Dropout Model
ArticleAbstract: Worldwide, one of the main concerns of universities is to reduce the dropout rate. Several initiativPalabras claves:Data Mining, dropout model, features importance, learning analyticsAutores:Jiménez-Macias A., Kloos C.D., Margarita Ortiz-Rojas, Moreno-Marcos P.M., Munoz-Merino P.J.Fuentes:googlescopusCan Feedback based on Pbkp_redictive Data Improve Learners' Passing Rates in MOOCs? A Preliminary Analysis
Conference ObjectAbstract: This work in progress paper investigates if timely feedback increases learners' passing rate in a MOPalabras claves:FEEDBACK, Mooc, pbkp_rediction, Self-Regulated LearningAutores:Hernandez J., Hilliger I., Jorge Maldonado-Mahauad, Kloos C.D., Mar Pérez-Sanagustín, Marín J.I., Moreno-Marcos P.M., Munoz-Merino P.J., Perez-Alvarez R.A., Sapunar D., Villalobos E.Fuentes:googlescopus