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RÉVOLUTIONNER L’APPRENTISSAGE

Connecter les sciences cognitives et le Big Data pour créer des solutions d’adaptive learning

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INTRODUCTION

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NEUROMYTHES

1. On oublie jusqu’à 80 % de ce que l’on apprend en un mois

2. Apprentissage : presque tout se joue avant 6 ans

3. En apprentissage, nous utilisons seulement 7% de notre cerveau

4. Il existe 3 styles d’apprentissage : V,A,K

5. Ecouter Mozart augmente le QI

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A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal ActivityMing-Zher Poh, Student Member, IEEE, Nicholas C. Swenson, and Rosalind W. Picard*, Fellow, IEEE

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MACHINE LEARNINGNotions autour de la donnée

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OBJECTIF

Data

Interpretation

?

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DES STANDARDS DE DONNÉES

xAPI : Experience API

LTI : Learning Tools Interoperability

Scorm : Sharable Content Object Reference Model

QTI : Question & Test interoperability

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LES OUTILS D’INTERPRÉTATION

Pour obtenir :ExplicationsDescriptionsPrédictionsClassifications

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QU’EST-CE QUE C’EST LE MACHINE LEARNING ?

Artificial Intelligence

Rule-basedMachine Learning

DeepLearning

Faire des machines « intelligentes »

Faire des machines qui apprennent

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QUI UTILISE LE MACHINE LEARNING

Criteo

MéteoFrance

Energy Distributor

Uber

MedicineEpidemiology

Banks

Amazon

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DÉFINITIONS

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LE PROCESSUS D’APPRENTISSAGE

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AdaptiveLearning

AncrageAdaptatif®

LearningAnalytics

Assimiler Consolider Mesurer

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L’APPRENTISSAGE ADAPTATIF

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LA DÉCOUVERTE DE BLOOM

Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational researcher, 13(6), 4-16.

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L’APPRENTISSAGE ADAPTATIF

Module traditionnel

Module en Adaptive Learning

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L’APPRENTISSAGE ADAPTATIF

Contenu personnalisé

Positionnement

Modèleapprenant

Objectif pédagogique : fin du module

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L’ANCRAGE ADAPTATIF®

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QUELQUES MÉTHODES DE MÉMORISATION

1. Surligner - 2. Justification -

3. Tests + 4. Révisions distribuées +

5. Relecture - 6. Révisions alternées =

Dunlosky et al., “Improving Students’ Learning With Effective Learning Techniques.” (2013)

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4e

rappel3e

rappel2e

rappel1er

rappel

L’ANCRAGE ADAPTATIF ®

Assimilation du concept

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SUPPORT D’UTILISATION

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LEARNING ANALYTICS – DATA VISUALISATION

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CLUSTER ET PREDICTIF

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PRINCIPE DE LA COHORTE

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DU PRÉDICTIF SUR UN DISPOSITIF

MOOC 1 MOOC 2 MOOC 3 MOOC 4 CertificatsExamen final

Apprentissage adaptatif

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RÉSULTATS HISTORIQUES PAR COHORTE

91%89%

94%

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MAITRISES PAR COHORTE

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ATELIERIndicateurs de pilotage d’une formation

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ATELIER 1 - OBJECTIF

Améliorer l’impact d’un parcours de formation en ligne

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ATELIER 1 - ORGANISATION

Temps: 10 minObjectif 1: Quels sont les 3 principaux indicateurs qui vouspermettent d’évaluer l’impact du parcours/modules ?

Temps: 5 minObjectif 2: Comment croiser des indicateurs ?

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DONNÉES EXTRAITES D’UN LMS

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STRUCTURE DU PARCOURS

Parcours

Module 1 Module 2 Module 3 Module 4

Temps passéScore

Temps passé totalScoreAvancementDébut Fin

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INDICATEURS POSSIBLES

Score vs. TempsCorrélations entre les scores des modulesTaux de rétentionGenre vs. ScoreComplétion vs. durée totale…

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ATELIER 2 - ORGANISATION

Temps: 10 minObjectif 1: Quels sont les 3 principaux indicateurs qui vouspermettent d’évaluer l’impact du parcours/modules ?

Temps: 10 minObjectif 2: Comment croiser des indicateurs ?

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RÉSULTATS

Taux de rétentionModule 1 Module 2 Module 3 Module 4

Nombre d’utilisateur 13 7 7 3Taux de rétention 81% 54% 100% 43%

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RÉSULTATS

Taux de rétentionModule 1 Module 2 Module 3 Module 4

Nombre d’utilisateur 13 7 7 3Taux de rétention 81% 54% 100% 43%Score moyen 62% 93% 72% 88%

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RÉSULTATS

Taux de rétentionModule 1 Module 2 Module 3 Module 4

Nombre d’utilisateur 13 7 7 3Taux de rétention 81% 54% 100% 43%Score moyen 62% 93% 72% 88%Corrélation rétention/score (i-1) 87,9%

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RÉSULTATS

Taux de rétentionModule 1 Module 2 Module 3 Module 4

Nombre d’utilisateur 13 7 7 3Taux de rétention 81% 54% 100% 43%Score moyen 62% 93% 72% 88%Corrélation rétention/score (i-1) 87,9%Temps passé moyen 45:52 16:28 27:13 08:54

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RÉSULTATS

Taux de rétentionModule 1 Module 2 Module 3 Module 4

Nombre d’utilisateur 13 7 7 3Taux de rétention 81% 54% 100% 43%Score moyen 62% 93% 72% 88%Corrélation rétention/score (i-1) 87,9%Temps passé moyen 45:52 16:28 27:13 08:54Corrélation rétention/Temps passé (i-1) -93,5%

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RÉSULTATS

Taux de corrélation entre les scores des modules

Module 1 Module 2 Module 3 Module 4

Nombre d’utilisateur 13 7 7 3

Corrélation score (i-1) / score (i)

0% -34% 87,7%

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RÉSULTATS

Score vs Temps ~ adaptativité du niveau

Module 1 Module 2 Module 3 Module 4

Nombre d’utilisateur 13 7 7 3

Corrélation score vs temps passé

0,94% 69,77% 17,1% N.A

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RÉSULTATS

Taux d’avancement moyen en fonction des genres: 40% contre43% à Fonction, métier, expérience

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RÉSULTATS

Temps moyen pour complétion: 2h54100% des collaborateurs qui ont terminé le parcours l’ont fait sur deux semaines (16,3 jours en moyenne)Le taux moyen de complétion pour les collaborateurs qui ontessayé de le réaliser sur la même journée: 16% contre 42% d’avencement moyen

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INTERPRETER LES INDICATEURS

Un module de 15 min avec un niveau plutôt simple permetd’engager les utilisateursUne réalisation sur 15 jours avec des modules courts permet de fidéliser et engager l’utilisateurUn module avec du contenu adapté à plusieurs niveaux permetde répondre aux attentes de plus de collaborateurs et de mieuxles engager

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INTERPRETER LES INDICATEURS

ROI?53,1% de modules prévus n’ont pas été du tout faitsAvancement moyen: 42%Si (avancement < 30% = échec), alors

• 7h 23 min et 58 sec ont été perdues

Que reste t’il d’une évaluation à froid 3 mois après?

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