Title :

Towards Open Learner Models including the Flow state

Author(s) :

Ramirez Luelmo, Sergio Ivan [Auteur]
Trigone-CIREL
El Mawas, Nour [Auteur]
Trigone-CIREL
Heutte, Jean [Auteur]
Trigone-CIREL

Conference title :

5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE 2020)

City :

Genova

Country :

Italie

Start date of the conference :

2020-07-14

Publisher :

Association for Computing Machinery, New York, NY United States

Publication date :

2020-07-14

HAL domain(s) :

Sciences de l'Homme et Société/Psychologie
Sciences de l'Homme et Société/Education
Informatique [cs]/Environnements Informatiques pour l'Apprentissage Humain

English abstract : [en]

Lifelong Learning encompasses vast learning opportunities and MOOCs are a learning environment that can be up to the challenge if current modeling challenges are addressed. Studies have shown the importance of modeling the ...
Show more >Lifelong Learning encompasses vast learning opportunities and MOOCs are a learning environment that can be up to the challenge if current modeling challenges are addressed. Studies have shown the importance of modeling the learner for a more personal and tailored learning experience in MOOC. Furthermore, Open Learner Models have proven their added value in facilitating learner's follow-up and course content personalization. However, while modeling the learner's knowledge is a common practice, modeling the learner's psychological state is a relegated concern within the community. This is despite the myriad of scientific evidence backing up the importance and repercussion of the learner's psychological state during and on the learning process.Flow is a psychological state characterized by total immersion in a task and a state of optimal performance. Programmers often refer to it as "being in the zone". It reliably correlates favorable learning metrics, such as motivation and engagement, among others. The aim of this paper is to propose a functional and technical architecture (comprising a Domain Model, a Flow Model, and an Open Learner Model for MOOC in a Lifelong Learning context) accounting for the learner's Flow state. This work is dedicated to MOOC designers/providers, pedagogical engineers, psychology, and education researchers who meet difficulties to incorporate and account for the Flow psychological state in a MOOC.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

ULNE

Collections :

• Centre Interuniversitaire de Recherche en Éducation de Lille (CIREL) - ULR 4354

Source :

Harvested from HAL