Searching concordance between two measurement tools (EduFlow-2 and FlowQ): Proposal for Flow State Method Detection in Educational and Training Contexts
Jean Heutte
(1)
,
Sergio Ramirez
(1)
,
Rémi Bachelet
(2)
,
Nour El Mawas
(3)
,
Charles Martin-Krumm
(4, 5, 6, 7)
,
Fabien Fenouillet
(8)
1
Trigone-CIREL
2 Centrale Lille
3 Crem - Centre de Recherche sur les Médiations
4 CHART - Cognitions Humaine et ARTificielle
5 IRBA - Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge]
6 APEMAC - Maladies chroniques, santé perçue, et processus d'adaptation
7 EPP - École de Psychologues Praticiens
8 LINP2 - Laboratoire Interdisciplinaire en Neurosciences, Physiologie et psychologie
2 Centrale Lille
3 Crem - Centre de Recherche sur les Médiations
4 CHART - Cognitions Humaine et ARTificielle
5 IRBA - Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge]
6 APEMAC - Maladies chroniques, santé perçue, et processus d'adaptation
7 EPP - École de Psychologues Praticiens
8 LINP2 - Laboratoire Interdisciplinaire en Neurosciences, Physiologie et psychologie
Jean Heutte
- Fonction : Auteur
- PersonId : 11965
- IdHAL : jean-heutte
- ORCID : 0000-0002-2646-3658
- IdRef : 158962710
Sergio Ramirez
- Fonction : Auteur
- PersonId : 180937
- IdHAL : sergio-ivan-ramirez-luelmo
- ORCID : 0000-0002-7885-0123
Nour El Mawas
- Fonction : Auteur
- PersonId : 1234928
- IdHAL : nour-elmawas
- ORCID : 0000-0002-0214-9840
Charles Martin-Krumm
- Fonction : Auteur
- PersonId : 3767
- IdHAL : charles-martin-krumm
- ORCID : 0000-0002-6665-5566
- IdRef : 075041626
Fabien Fenouillet
- Fonction : Auteur
- PersonId : 1330595
- ORCID : 0000-0003-3842-7977
Résumé
Background
Most Flow measurement tools have mainly demonstrated their usefulness for the scientific study of variations in optimal experience. However, with the exception of the Flow Questionnaire (FlowQ, Csikszentmihalyi, 1975, 1982), very few of them are really able to reveal flow state as a cut-off point.
Aims
Identify a method closest to concordance with FlowQ, specifically adapted for training contexts.
Method
-Data collection (n = 1729) using the flow in education scale (EduFlow-2, Heutte et al., 2021), including 4 sub-dimensions (Cognitive control (D1); Immersion & Time Transformation (D2); Loss of self-consciousness (D3); Autotelic experience (D4)), and the 3 items of FlowQ.
-3 Structural equations modelling (SEM1, SEM2, SEM3) with a 2nd order factor based on the EduFlow-2 data.
-Establishment of 3 formulas (F1, F2, F3) taking into account the weight of the first-order factors on the 2nd-order factor (Flow state (FS)) to establish 3 scores (SF1, SF2, SF3) per individual.
-F1: based on SEM1 factors = 4 sub-dimensions of EduFlow-2 connected on FS
-F2: based on Kawabata and Mallett’s (2011) model, which distinguishes flow conditions from flow state, and SEM2 factors = only D2, D3 and D4 connected on FS.
-F3: based on SEM3 factors = 4 sub-dimensions of EduFlow-2, but only D2, D3 and D4 connected on FS.
Results
These 3 methods allow flow state detection in concordance with FlowQ, as follows: 68,5% (F1), 71,9% (F2), 71,7% (F3)
Discussion
Methodological investigations need to be continued, but these first results open up new research prospects, particularly in the field of lifelong learning.
Format du dépôt | Notice |
---|---|
Type de dépôt | Communication dans un congrès |
Titre |
en
Searching concordance between two measurement tools (EduFlow-2 and FlowQ): Proposal for Flow State Method Detection in Educational and Training Contexts
|
Résumé |
en
Background
Most Flow measurement tools have mainly demonstrated their usefulness for the scientific study of variations in optimal experience. However, with the exception of the Flow Questionnaire (FlowQ, Csikszentmihalyi, 1975, 1982), very few of them are really able to reveal flow state as a cut-off point.
Aims
Identify a method closest to concordance with FlowQ, specifically adapted for training contexts.
Method
-Data collection (n = 1729) using the flow in education scale (EduFlow-2, Heutte et al., 2021), including 4 sub-dimensions (Cognitive control (D1); Immersion & Time Transformation (D2); Loss of self-consciousness (D3); Autotelic experience (D4)), and the 3 items of FlowQ.
-3 Structural equations modelling (SEM1, SEM2, SEM3) with a 2nd order factor based on the EduFlow-2 data.
-Establishment of 3 formulas (F1, F2, F3) taking into account the weight of the first-order factors on the 2nd-order factor (Flow state (FS)) to establish 3 scores (SF1, SF2, SF3) per individual.
-F1: based on SEM1 factors = 4 sub-dimensions of EduFlow-2 connected on FS
-F2: based on Kawabata and Mallett’s (2011) model, which distinguishes flow conditions from flow state, and SEM2 factors = only D2, D3 and D4 connected on FS.
-F3: based on SEM3 factors = 4 sub-dimensions of EduFlow-2, but only D2, D3 and D4 connected on FS.
Results
These 3 methods allow flow state detection in concordance with FlowQ, as follows: 68,5% (F1), 71,9% (F2), 71,7% (F3)
Discussion
Methodological investigations need to be continued, but these first results open up new research prospects, particularly in the field of lifelong learning.
|
Auteur(s) |
Jean Heutte
1
, Sergio Ramirez
1
, Rémi Bachelet
2
, Nour El Mawas
3
, Charles Martin-Krumm
4, 5, 6, 7
, Fabien Fenouillet
8
1
Trigone-CIREL
( 39708 )
- France
2
Centrale Lille
( 120930 )
- École Centrale de Lille - Cité Scientifique - CS 20048 59651 Villeneuve d'Ascq Cedex
- France
3
Crem -
Centre de Recherche sur les Médiations
( 226789 )
- UL, île du Saulcy, UFR SHS-Metz, B.P. 30309, 57050 METZ Cedex
- France
4
CHART -
Cognitions Humaine et ARTificielle
( 104214 )
- Université Paris 8 Vincennes-Saint-Denis - 2 rue de la Liberté - 93526 Saint-Denis cedex
- France
5
IRBA -
Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge]
( 507058 )
- Brétigny-sur-Orge
- France
6
APEMAC -
Maladies chroniques, santé perçue, et processus d'adaptation
( 539959 )
- Université de Lorraine, Nancy / Metz
- France
7
EPP -
École de Psychologues Praticiens
( 347734 )
- 23, rue du Montparnasse -
75006 PARIS
- France
8
LINP2 -
Laboratoire Interdisciplinaire en Neurosciences, Physiologie et psychologie
( 1065832 )
- Université Paris Nanterre,
200 avenue de la république
92000 NANTERRE
- France
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Invité |
Non
|
Audience |
Internationale
|
Langue du document |
Anglais
|
Titre du congrès |
11th European Conference on Positive Psychology (ECPP 2024)
|
Date début congrès |
2024-07-10
|
Ville |
Innsbruck
|
Pays |
Autriche
|
Actes |
Non
|
Domaine(s) |
|
Projet(s) ANR |
|
Mots-clés |
en
Autotelism-flow, Machine learning, Assesment
|
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