Información General

• Autores: Manuel Caeiro Rodríguez (ed. lit.), Ángel Hernández García (ed. lit.), Pedro J. Muñoz Merino (ed. lit.)
• Editores: CEUR Workshop Proceedings
• Año de publicación: 2019
• País: Alemania
• Idioma: inglés
• Enlaces
  • Texto Completo Libro

Listado de artículos

• • Learning Analytics Summer Institute Spain 2019: learning analytics in higher education

    Manuel Caeiro Rodríguez, Ángel Hernández García, Pedro J. Muñoz Merino

    • Texto Completo Libro

    págs. 1-8

    

  • Application of Learning Analytics techniques on blended learning environments for university students

    Sheila Lucero Sánchez López, Rebeca Díaz Redondo, Ana Fernández Vilas

    • Texto Completo Libro

    págs. 9-21

    

  • Using "Simva" to evaluate serious games and collect game learning analytics data

    Cristina Alonso Fernández, Iván José Pérez Colado, Antonio Calvo Morata, Manuel Freire Morán, Iván Martínez Ortiz, Baltasar Fernández Manjón

    • Texto Completo Libro

    págs. 22-34

    

  • Extending a dashboard meta-model to account for users' characteristics and goals for enhancing personalization

    Andrea Vázquez Ingelmo, Francisco José García Peñalvo, Roberto Therón Sánchez, Miguel Ángel Conde González

    • Texto Completo Libro

    págs. 35-42

    

  • Predicting student performance over time: a case study for a blended-learning engineering course

    Juan Antonio Martínez Carrascal, Joaquín Campuzano Puntí, Teresa Sancho Vinuesa, Elena Valderrama Vallès

    • Texto Completo Libro

    págs. 43-55

    

  • Analyzing students' persistence using an event-based model

    Pedro Manuel Moreno Marcos, Pedro J. Muñoz Merino, Carlos Alario Hoyos, Carlos Delgado Kloos

    • Texto Completo Libro

    págs. 56-70

    

  • A data value chain to model the processing of multimodal evidence in authentic learning scenarios

    Shashi Kant Shankar, Adolfo Ruiz Calleja, Sergio Serrano Iglesias, Alejandro Ortega Arranz, Paraskevi Topali, Alejandra Martínez Monés

    • Texto Completo Libro

    págs. 71-83

    

  • Predictors and early warning systems in higher education: a systematic literature review

    Martín Liz Domínguez, Manuel Caeiro Rodríguez, Martín Llamas Nistal, Fernando A. Mikic Fonte

    • Texto Completo Libro

    págs. 84-99

    

  • Predicting early dropout students is a matter of checking completed quizzes: the case of an online statistics module

    Josep Figueroa Cañas, Teresa Sancho Vinuesa

    • Texto Completo Libro

    págs. 100-111