Moreno-Marcos P.M.
30
Coauthors
5
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2018 | 1 |
| 2020 | 2 |
| 2021 | 1 |
| 2023 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Tecnología educativa | 4 |
| Educación superior | 2 |
| Aprendizaje automático | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Ciencias de la computación | 2 |
| Escuelas y sus actividades; educación especial | 2 |
| Funcionamiento de bibliotecas y archivos | 2 |
| Educación superior | 1 |
| Educación | 1 |
| Programación informática, programas, datos, seguridad | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 5 |
| Google Scholar | 4 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Munoz-Merino P.J. | 5 |
| Kloos C.D. | 5 |
| Mar Pérez-Sanagustín | 3 |
| Jorge Maldonado-Mahauad | 3 |
| Marín J.I. | 2 |
| Margarita Ortiz-Rojas | 2 |
| Hoyos C.A. | 2 |
| Vanessa Hebkp_redia-Jimenez | 1 |
| Alberto Jiménez | 1 |
| Jiménez-Macias A. | 1 |
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Top Keywords
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Publicaciones del autor
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:googlescopusPbkp_redicting Learners’ Success in a Self-paced MOOC Through Sequence Patterns of Self-regulated Learning
Conference ObjectAbstract: In the past years, pbkp_redictive models in Massive Open Online Courses (MOOCs) have focused on forePalabras claves:Achievement, Massive open online courses, pbkp_rediction, Self-Regulated Learning, Sequence patterns, successAutores:Hoyos C.A., Jorge Maldonado-Mahauad, Kloos C.D., Mar Pérez-Sanagustín, Moreno-Marcos P.M., Munoz-Merino P.J.Fuentes:googlescopusTemporal analysis for dropout pbkp_rediction using self-regulated learning strategies in self-paced MOOCs
ArticleAbstract: MOOCs (Massive Open Online Courses) have usually high dropout rates. Many articles have proposed pbkPalabras claves:Data science applications in education, Distance education and online learning, Lifelong Learning, Post-secondary educationAutores:Hoyos C.A., Jorge Maldonado-Mahauad, Kloos C.D., Mar Pérez-Sanagustín, Moreno-Marcos P.M., Munoz-Merino P.J.Fuentes:googlescopusAn early warning dropout model in higher education degree programs: A case study in Ecuador
Conference ObjectAbstract: Worldwide, a significant concern of universities is to reduce academic dropout rate. Several initiatPalabras claves:algorithm, Data Mining, Dropout pbkp_rediction, Early Detection, higher education, learning analyticsAutores:Alberto Jiménez, Kloos C.D., Margarita Ortiz-Rojas, Marín J.I., Moreno-Marcos P.M., Munoz-Merino P.J., Vanessa Hebkp_redia-JimenezFuentes:scopusCan 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