Lecture notes Learner Models for MOOC in ...
Type de document :
Partie d'ouvrage
Titre :
Lecture notes Learner Models for MOOC in a Lifelong LearningContext: A Systematic Literature Review
Auteur(s) :
Ramirez Luelmo, Sergio Ivan [Auteur]
Trigone-CIREL
El Mawas, Nour [Auteur]
Université Lille 1 - Département Sciences de l'éducation et de la formation [CUEEP SEFA]
Heutte, Jean [Auteur]
Centre Interuniversitaire de Recherche en Education de Lille - ULR 4354 [CIREL]
Trigone-CIREL
Trigone-CIREL
El Mawas, Nour [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Université Lille 1 - Département Sciences de l'éducation et de la formation [CUEEP SEFA]
Heutte, Jean [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Centre Interuniversitaire de Recherche en Education de Lille - ULR 4354 [CIREL]
Trigone-CIREL
Éditeur(s) ou directeur(s) scientifique(s) :
H. C. Lane
Susan Zvacek
James Uhomoibhi
Susan Zvacek
James Uhomoibhi
Titre de l’ouvrage :
Lecture notes in Communications in Computer and Information Science (CCIS)
Éditeur :
Springer
Lieu de publication :
https://link.springer.com/chapter/10.1007/978-3-030-86439-2_20
Date de publication :
2021
Mot(s)-clé(s) en anglais :
Learning Analytics
knowledge representation
Technology Enhanced Learning
Lifelong Learning
Learner Model
Learning Environment
literature review
MOOC.
knowledge representation
Technology Enhanced Learning
Lifelong Learning
Learner Model
Learning Environment
literature review
MOOC.
Discipline(s) HAL :
Informatique [cs]/Environnements Informatiques pour l'Apprentissage Humain
Sciences de l'Homme et Société/Education
Sciences de l'Homme et Société/Education
Résumé en anglais : [en]
While setting up a Massive Open Online Course for Lifelong Learners, the choice of the most adequate Learner Model for this most current contextis paramount: not all Learner Models are created equal, despite their overalladded ...
Lire la suite >While setting up a Massive Open Online Course for Lifelong Learners, the choice of the most adequate Learner Model for this most current contextis paramount: not all Learner Models are created equal, despite their overalladded value to facilitate the learner’s follow-up, course content personalizationand trainers/teachers’ practices in various Learning Environments. This systematic review of literature defines, compares, and highlights eight features of interest of Learner Models for Massive Open Online Courses from a LifelongLearning perspective. It discerns 17 of the most-current, existing Learner Models out of 442 search results. It concludes on the four most adequate, and current Learner Models in this context. In addition, we study how they handle thelearning experience personalization. This work is primarily dedicated to MOOCdesigners/providers, pedagogical engineers and researchers who meet difficulties to model and evaluate MOOC’s learners using Learning Analytics.Lire moins >
Lire la suite >While setting up a Massive Open Online Course for Lifelong Learners, the choice of the most adequate Learner Model for this most current contextis paramount: not all Learner Models are created equal, despite their overalladded value to facilitate the learner’s follow-up, course content personalizationand trainers/teachers’ practices in various Learning Environments. This systematic review of literature defines, compares, and highlights eight features of interest of Learner Models for Massive Open Online Courses from a LifelongLearning perspective. It discerns 17 of the most-current, existing Learner Models out of 442 search results. It concludes on the four most adequate, and current Learner Models in this context. In addition, we study how they handle thelearning experience personalization. This work is primarily dedicated to MOOCdesigners/providers, pedagogical engineers and researchers who meet difficulties to model and evaluate MOOC’s learners using Learning Analytics.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Projet ANR :
Source :