Lecture notes Learner Models for MOOC in ...
Document type :
Partie d'ouvrage
Title :
Lecture notes Learner Models for MOOC in a Lifelong LearningContext: A Systematic Literature Review
Author(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]
Trigone-CIREL
Centre Interuniversitaire de Recherche en Education de Lille - ULR 4354 [CIREL]
Trigone-CIREL
El Mawas, Nour [Auteur]

Université Lille 1 - Département Sciences de l'éducation et de la formation [CUEEP SEFA]
Heutte, Jean [Auteur]

Trigone-CIREL
Centre Interuniversitaire de Recherche en Education de Lille - ULR 4354 [CIREL]
Scientific editor(s) :
H. C. Lane
Susan Zvacek
James Uhomoibhi
Susan Zvacek
James Uhomoibhi
Book title :
Lecture notes in Communications in Computer and Information Science (CCIS)
Publisher :
Springer
Publication place :
https://link.springer.com/chapter/10.1007/978-3-030-86439-2_20
Publication date :
2021
English keyword(s) :
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.
HAL domain(s) :
Informatique [cs]/Environnements Informatiques pour l'Apprentissage Humain
Sciences de l'Homme et Société/Education
Sciences de l'Homme et Société/Education
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
ANR Project :
Source :