Markov decision process for MOOC users behavioral inference

Firas Jarboui; Célya Gruson-Daniel; Alain Durmus; Vincent Rocchisani; Sophie Helene Goulet Ebongue; Anneliese Depoux; Wilfried Kirschenmann; Vianney Perchet

doi:10.1007/978-3-030-19875-6_9

Markov decision process for MOOC users behavioral inference

Firas Jarboui
, Célya Gruson-Daniel
, Alain Durmus
, Vincent Rocchisani
, Sophie Helene Goulet Ebongue
, Anneliese Depoux
, Wilfried Kirschenmann
, Vianney Perchet

ANEO
Université Paris-Saclay
Paris Cité University
DRISS (Digital Research in Science & Society)
Sorbonne Université

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

5 Citations (Scopus)

Résumé

Studies on massive open online courses (MOOCs) users discuss the existence of typical profiles and their impact on the learning process of the students. However defining the typical behaviors as well as classifying the users accordingly is a difficult task. In this paper we suggest two methods to model MOOC users behaviour given their log data. We mold their behavior into a Markov Decision Process framework. We associate the user’s intentions with the MDP reward and argue that this allows us to classify them.

langue originale	Anglais
titre	Digital Education
Sous-titre	At the MOOC Crossroads Where the Interests of Academia and Business Converge - 6th European MOOCs Stakeholders Summit, EMOOCs 2019, Proceedings
rédacteurs en chef	Justin Reich, Jose A. Ruiperez-Valiente, Martin Wirsing, Carlos Delgado Kloos, Mauro Calise
Editeur	Springer Verlag
Pages	70-80
Nombre de pages	11
ISBN (imprimé)	9783030198749
Les DOIs	https://doi.org/10.1007/978-3-030-19875-6_9
état	Publié - 1 janv. 2019
Modification externe	Oui
Evénement	6th European Conference on Massive Open Online Courses, EMOOCs 2019 - Naples, Italie Durée: 20 mai 2019 → 22 mai 2019

Série de publications

Nom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11475 LNCS
ISSN (imprimé)	0302-9743
ISSN (Electronique)	1611-3349

Une conférence

Une conférence	6th European Conference on Massive Open Online Courses, EMOOCs 2019
Pays/Territoire	Italie
La ville	Naples
période	20/05/19 → 22/05/19

Accès au document

10.1007/978-3-030-19875-6_9

Contient cette citation

Jarboui, F., Gruson-Daniel, C., Durmus, A., Rocchisani, V., Goulet Ebongue, S. H., Depoux, A., Kirschenmann, W., & Perchet, V. (2019). Markov decision process for MOOC users behavioral inference. Dans J. Reich, J. A. Ruiperez-Valiente, M. Wirsing, C. Delgado Kloos, & M. Calise (eds.), Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge - 6th European MOOCs Stakeholders Summit, EMOOCs 2019, Proceedings (p. 70-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 11475 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-19875-6_9

Jarboui, Firas ; Gruson-Daniel, Célya ; Durmus, Alain et al. / Markov decision process for MOOC users behavioral inference. Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge - 6th European MOOCs Stakeholders Summit, EMOOCs 2019, Proceedings. Editeur / Justin Reich ; Jose A. Ruiperez-Valiente ; Martin Wirsing ; Carlos Delgado Kloos ; Mauro Calise. Springer Verlag, 2019. p. 70-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Markov decision process for MOOC users behavioral inference",

abstract = "Studies on massive open online courses (MOOCs) users discuss the existence of typical profiles and their impact on the learning process of the students. However defining the typical behaviors as well as classifying the users accordingly is a difficult task. In this paper we suggest two methods to model MOOC users behaviour given their log data. We mold their behavior into a Markov Decision Process framework. We associate the user{\textquoteright}s intentions with the MDP reward and argue that this allows us to classify them.",

keywords = "Inverse Reinforcement Learning, Learning analytics, Markov Decision Process, User behaviour studies",

author = "Firas Jarboui and C{\'e}lya Gruson-Daniel and Alain Durmus and Vincent Rocchisani and \{Goulet Ebongue\}, \{Sophie Helene\} and Anneliese Depoux and Wilfried Kirschenmann and Vianney Perchet",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 6th European Conference on Massive Open Online Courses, EMOOCs 2019 ; Conference date: 20-05-2019 Through 22-05-2019",

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Jarboui, F, Gruson-Daniel, C, Durmus, A, Rocchisani, V, Goulet Ebongue, SH, Depoux, A, Kirschenmann, W & Perchet, V 2019, Markov decision process for MOOC users behavioral inference. Dans J Reich, JA Ruiperez-Valiente, M Wirsing, C Delgado Kloos & M Calise (eds), Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge - 6th European MOOCs Stakeholders Summit, EMOOCs 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOL. 11475 LNCS, Springer Verlag, p. 70-80, 6th European Conference on Massive Open Online Courses, EMOOCs 2019, Naples, Italie, 20/05/19. https://doi.org/10.1007/978-3-030-19875-6_9

Markov decision process for MOOC users behavioral inference. / Jarboui, Firas; Gruson-Daniel, Célya; Durmus, Alain et al.
Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge - 6th European MOOCs Stakeholders Summit, EMOOCs 2019, Proceedings. Ed. / Justin Reich; Jose A. Ruiperez-Valiente; Martin Wirsing; Carlos Delgado Kloos; Mauro Calise. Springer Verlag, 2019. p. 70-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 11475 LNCS).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Markov decision process for MOOC users behavioral inference

AU - Jarboui, Firas

AU - Gruson-Daniel, Célya

AU - Durmus, Alain

AU - Rocchisani, Vincent

AU - Goulet Ebongue, Sophie Helene

AU - Depoux, Anneliese

AU - Kirschenmann, Wilfried

AU - Perchet, Vianney

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Studies on massive open online courses (MOOCs) users discuss the existence of typical profiles and their impact on the learning process of the students. However defining the typical behaviors as well as classifying the users accordingly is a difficult task. In this paper we suggest two methods to model MOOC users behaviour given their log data. We mold their behavior into a Markov Decision Process framework. We associate the user’s intentions with the MDP reward and argue that this allows us to classify them.

AB - Studies on massive open online courses (MOOCs) users discuss the existence of typical profiles and their impact on the learning process of the students. However defining the typical behaviors as well as classifying the users accordingly is a difficult task. In this paper we suggest two methods to model MOOC users behaviour given their log data. We mold their behavior into a Markov Decision Process framework. We associate the user’s intentions with the MDP reward and argue that this allows us to classify them.

KW - Inverse Reinforcement Learning

KW - Learning analytics

KW - Markov Decision Process

KW - User behaviour studies

U2 - 10.1007/978-3-030-19875-6_9

DO - 10.1007/978-3-030-19875-6_9

M3 - Conference contribution

AN - SCOPUS:85065913448

SN - 9783030198749

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 70

EP - 80

BT - Digital Education

A2 - Reich, Justin

A2 - Ruiperez-Valiente, Jose A.

A2 - Wirsing, Martin

A2 - Delgado Kloos, Carlos

A2 - Calise, Mauro

PB - Springer Verlag

T2 - 6th European Conference on Massive Open Online Courses, EMOOCs 2019

Y2 - 20 May 2019 through 22 May 2019

ER -

Jarboui F, Gruson-Daniel C, Durmus A, Rocchisani V, Goulet Ebongue SH, Depoux A et al. Markov decision process for MOOC users behavioral inference. Dans Reich J, Ruiperez-Valiente JA, Wirsing M, Delgado Kloos C, Calise M, rédacteurs en chef, Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge - 6th European MOOCs Stakeholders Summit, EMOOCs 2019, Proceedings. Springer Verlag. 2019. p. 70-80. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-19875-6_9

Markov decision process for MOOC users behavioral inference

Résumé

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Une conférence

Accès au document

Empreinte digitale

Contient cette citation