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Quelles donnees pour l'analyse de l'apprentissage, et que faire avec ?

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Presentation a l'ecole thematique CNRS MOOC EIAH 2014.

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Quelles donnees pour l'analyse de l'apprentissage, et que faire avec ?

  1. 1. QUELLES DONNÉES POUR L'ANALYSE DE L'APPRENTISSAGE, ET QUE FAIRE AVEC ? MATHIEU D'AQUIN - @MDAQUIN KNOWLEDGE MEDIA INSTITUTE, THE OPEN UNIVERSITY
  2. 2. AU FAIT... Je travaille àl' (l'Université Ouverte!)Open University Laplus grande université du Royaume Uni-plus de 250,000 étudiants par an. Entierrementàdistance, depuis 1969!Alatelevision (BBC) etmaintenanten ligne.
  3. 3. AU FAIT... Je travaille àl' (l'Université Ouverte!)Open University Laplus grande université du Royaume Uni-plus de 250,000 étudiants par an. Entierrementàdistance, depuis 1969!Alatelevision (BBC) etmaintenanten ligne.
  4. 4. AU FAIT... Je travaille àl' (l'Université Ouverte!)Open University Laplus grande université du Royaume Uni-plus de 250,000 étudiants par an. Entierrementàdistance, depuis 1969!Alatelevision (BBC) etmaintenanten ligne. Aussiàlabase de , laplatforme MOOC anglaise.FutureLearn
  5. 5. AU FAIT... Je travaille au Knowledge MediaInstitute Institutde recherchesur les technologies (du web, des connaissances, des media).
  6. 6. ANALYSE DE L'APPRENTISSAGE (LEARNING ANALYTICS)... ... is the use of intelligent data, learner-produced data, and analysis models to discover information and socialconnections, and to predictand advise on learning. Siemens,G.(2010) http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics/
  7. 7. ANALYSE DE L'APPRENTISSAGE (LEARNING ANALYTICS)... ... [is] the measurement, collection, analysis and reportingof data about learners and their contexts, for purposes of understandingand optimisinglearningand the environments in which itoccur. SoLAR-2012+ http://www.solaresearch.org/mission/about/
  8. 8. ANALYSE DE L'APPRENTISSAGE (LEARNING ANALYTICS)... ... estl'analysededonnées appliquée àdes données issues de systèmes d'enseignementdans un but pédagogiqueou généralementlié àl'enseignement. Mathieu-maintenant
  9. 9. ANALYSE DE DONNÉES Données > Analyse > Résultats > Interpretation > Informatio
  10. 10. ANALYSE DE DONNÉES Informatio Résultats Informatio Résultats Informatio Données Résultats Informatio Données > Analyse > Résultats > Interpretation > Informatio Données Résultats Informatio Résultats Informatio Informatio
  11. 11. ANALYSE DE DONNÉES Informatio | Résultats Informatio | Résultats Informatio Données v Résultats Informatio Données > Analyse > Résultats > Interpretation > Informatio Données Résultats ^ Informatio Résultats | Informatio Données Informatio
  12. 12. DIMMENSIONS DE L'ANALYSE DE L'APPRENTISSAGE ET DES DONNÉES : NIVEAU
  13. 13. EXEMPLE TRÈS MACRO : DESEQUILIBRE ENTRE L'ÉDUCATION DES HOMMES ET DES FEMMES Paysoùleshommesontplusd'éducation ;lesfemmes ;égalité
  14. 14. EXEMPLE TRÈS MACRO : DESEQUILIBRE ENTRE L'ÉDUCATION DES HOMMES ET DES FEMMES Paysoùleshommesontplusd'éducationenjaune;lesfemmesenbleue;égalitéenverts
  15. 15. EXEMPLE TRÈS MACRO : DESEQUILIBRE ENTRE L'ÉDUCATION DES HOMMES ET DES FEMMES Les données proviennentde l'Unesco-pourcentage d'hommes etde femmes suivantdifferents niveaux d'éducation. Construittrès rapidementsur labase des données web sur 270a.info Interpretation: Les pays où les hommes ontplus d'éducation sonttaggés sur wikipediacomme "Leastdevelopped countries". Voirlesrecherchesd' surl'aideàl'interpretation.IlariaTiddi
  16. 16. EXEMPLE TRÈS MICRO : PERSONAL ANALYTICS Analyse des log d'accés aux resources de l'université Tableau de bordpour l'individus, avec les données de l'individus Objectif :Comprendre la relation entre utilisateur d'une organisation d'enseignement, encourager la reflection personelle sur ses propres pratiques uciad.info
  17. 17. EXEMPLE TRÈS MICRO : PERSONAL ANALYTICS Moluti.com
  18. 18. DIMMENSIONS DE L'ANALYSE DE L'APPRENTISSAGE ET DES DONNÉES : OBJECTIF
  19. 19. EXEMPLE AU NIVEAU UNIVERSITÉ/NATIONAL : INSCRIPTION AU COURS DE L'OPEN UNIVERSITY
  20. 20. EXEMPLE AU NIVEAU UNIVERSITÉ/NATIONAL : INSCRIPTION AU COURS DE L'OPEN UNIVERSITY Données obtenues àpartir des profiles d'étudiants (depuis 2005), liées aux données geographiques nationales (Ordnance Survey) etau données sur les cours (data.open.ac.uk). Objectif : adapter l'offre àlademande; comprendre ce qui motive les étudiants. Interpretation: fonction de ladémographie, du marché de l'emploi
  21. 21. EXEMPLE AU NIVEAU COURS : ANALYTICS MOODLE POUR LES JEUNES DOCTEURS Données obtenues à partir de laplateforme Moodle mis en place pour les jeunes docteurs d'un hopitalanglais. L'objectif estde comprendre quelles resources etquels modes de diffusion impactentle plus sur les pratiques medicales.
  22. 22. DIMMENSIONS DE L'ANALYSE DE L'APPRENTISSAGE ET DES DONNÉES : TYPE DE DONNÉES
  23. 23. EXEMPLE AU NIVEAU COURS: OU ANALYSE
  24. 24. L' estde detecter les signes d'abandon ou d'echec (etde recommender des interventions). EXEMPLE AU NIVEAU COURS: OU ANALYSE Les données proviennentdes logs de laplatform Moodle pour chaque cours : activités des étudiants, résultats des tests, temps (des activités etdes tests). objectif
  25. 25. DIMMENSIONS DE L'ANALYSE DE L'APPRENTISSAGE ET DES DONNÉES : RÉSUMÉ
  26. 26. DIMMENSIONS DE L'ANALYSE DE L'APPRENTISSAGE ET DES DONNÉES : MESSAGE Les niveaux etobjectifs de l'analyse de l'apprentissage sonttrès variés. Du coup, les données utilisées sonttrès variées -les données de niveaux superieurs serventde référence àcelles de niveaux inferieurs. Besoin d'une plateforme commune pour ces données, quelles soientouvertes ou non... Le Web?
  27. 27. LES DONNÉES DE L'ENSEIGNEMENT SUR LE WEB
  28. 28. LES DONNÉES SUR LE WEB, QUE L'ON PEUT UTILISER POUR L'ENSEIGNEMENT
  29. 29. EXEMPLE: DATA.OPEN.AC.UK
  30. 30. LES DONNÉES SUR LE WEB : AVANTAGES Données Linked Data Web Semantique
  31. 31. DEMONTRER L'UTILISATION: LE PROJET LINKEDUP LinkedUp aims to push forward the exploitation of the vastamounts of public, open data available on the Web, in particular by educational institutions and organizations. LinkedUp-project.eu
  32. 32. THE CATALOGUE LINKEDUP DE DONNÉES WEB LIEES À L'ENSEIGNEMENT data.linkededucation.org/linkedup/catalog/
  33. 33. LA COMPETITION LINKEDUP Venicompetition : Mai2013 -Novembre 2013 Vidicompetition : Novembre 2013 -Juin 2014 Vicicompetition : Juin 2014 -Novembre 2014 Datelimitedesoumission des applications : Septembre 2014 linkedup-challenge.org
  34. 34. EXEMPLE: WE-SHARE (3EME VENI COMPETITION) seek.cloud.gsic.tel.uva.es/weshare/
  35. 35. EXEMPLE: KONNEKTID (2EME VIDI COMPETITION) KONNEKTid.com
  36. 36. CONCLUSION / FUTUR BigData, DataScience, eGovernment, ... Le secteur de l'éducation esten retard. Commentconstruire un "dataecosystem"pour l'eseignement (en France) ? Les enseignants, les responsables de cours/MOOCs, les apprenants doiventils devenir des "datascientists"?
  37. 37. MERCI etàdemain... mdaquin.net @mdaquin data.open.ac.uk LinkedUniversities.org

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