Miranda: A Chatbot for Supporting Self-regulated Learning

Jorge Maldonado-Mahauad; Mar Pérez-Sanagustín; Juan Carvallo-Vega; Edwin Narvaez; Mauricio Calle

doi:10.1007/978-3-031-16290-9_36

Miranda: A Chatbot for Supporting Self-regulated Learning

Jorge Maldonado-Mahauad
, Mar Pérez-Sanagustín
, Juan Carvallo-Vega
, Edwin Narvaez
, Mauricio Calle

Université Tolouse III Paul Sabatier
Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia (CEDIA)
Universidad de Cuenca

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Learning Analytics (LA) aims to understand and optimize the learning process in the environments in which they occur. It also offers opportunities for teachers to understand students’ behavior and promote the use of effective strategies that allow them to achieve their goals. Most of current solutions proposed in the literature for supporting students’ SRL are based on dashboards. However, if students do not interact with them, it becomes difficult to understand whether they have an impact in their self-regulated behavior. This demonstration, presents Miranda: A Chatbot that acts as a conversational agent to recommend and make suggestions on SRL strategies based on students’ the behavior. The first version of Miranda has been developed for Moodle, but it could be adapted to any other Learning Management System.

Original language	English
Title of host publication	Educating for a New Future
Subtitle of host publication	Making Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Proceedings
Editors	Isabel Hilliger, Pedro J. Muñoz-Merino, Tinne De Laet, Alejandro Ortega-Arranz, Tracie Farrell
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	455-462
Number of pages	8
ISBN (Print)	9783031162893
DOIs	https://doi.org/10.1007/978-3-031-16290-9_36
State	Published - 2022
Event	17th European Conference on Technology Enhanced Learning, EC-TEL 2022 - Toulouse, France Duration: 12 Sep 2022 → 16 Sep 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13450 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th European Conference on Technology Enhanced Learning, EC-TEL 2022
Country/Territory	France
City	Toulouse
Period	12/09/22 → 16/09/22

Keywords

Chatbot
Conversational agent
Learning Analytics
Recommender system
Self-regulated learning

Access to Document

10.1007/978-3-031-16290-9_36

Cite this

Maldonado-Mahauad, J., Pérez-Sanagustín, M., Carvallo-Vega, J., Narvaez, E., & Calle, M. (2022). Miranda: A Chatbot for Supporting Self-regulated Learning. In I. Hilliger, P. J. Muñoz-Merino, T. De Laet, A. Ortega-Arranz, & T. Farrell (Eds.), Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Proceedings (pp. 455-462). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13450 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16290-9_36

Maldonado-Mahauad, Jorge ; Pérez-Sanagustín, Mar ; Carvallo-Vega, Juan et al. / Miranda : A Chatbot for Supporting Self-regulated Learning. Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Proceedings. editor / Isabel Hilliger ; Pedro J. Muñoz-Merino ; Tinne De Laet ; Alejandro Ortega-Arranz ; Tracie Farrell. Springer Science and Business Media Deutschland GmbH, 2022. pp. 455-462 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{f7cab68fe9a1475b811e841ad3be2452,

title = "Miranda: A Chatbot for Supporting Self-regulated Learning",

abstract = "Learning Analytics (LA) aims to understand and optimize the learning process in the environments in which they occur. It also offers opportunities for teachers to understand students{\textquoteright} behavior and promote the use of effective strategies that allow them to achieve their goals. Most of current solutions proposed in the literature for supporting students{\textquoteright} SRL are based on dashboards. However, if students do not interact with them, it becomes difficult to understand whether they have an impact in their self-regulated behavior. This demonstration, presents Miranda: A Chatbot that acts as a conversational agent to recommend and make suggestions on SRL strategies based on students{\textquoteright} the behavior. The first version of Miranda has been developed for Moodle, but it could be adapted to any other Learning Management System.",

keywords = "Chatbot, Conversational agent, Learning Analytics, Recommender system, Self-regulated learning",

author = "Jorge Maldonado-Mahauad and Mar P{\'e}rez-Sanagust{\'i}n and Juan Carvallo-Vega and Edwin Narvaez and Mauricio Calle",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 17th European Conference on Technology Enhanced Learning, EC-TEL 2022 ; Conference date: 12-09-2022 Through 16-09-2022",

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isbn = "9783031162893",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "455--462",

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booktitle = "Educating for a New Future",

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Maldonado-Mahauad, J, Pérez-Sanagustín, M, Carvallo-Vega, J, Narvaez, E & Calle, M 2022, Miranda: A Chatbot for Supporting Self-regulated Learning. in I Hilliger, PJ Muñoz-Merino, T De Laet, A Ortega-Arranz & T Farrell (eds), Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13450 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 455-462, 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Toulouse, France, 12/09/22. https://doi.org/10.1007/978-3-031-16290-9_36

Miranda: A Chatbot for Supporting Self-regulated Learning. / Maldonado-Mahauad, Jorge; Pérez-Sanagustín, Mar; Carvallo-Vega, Juan et al.
Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Proceedings. ed. / Isabel Hilliger; Pedro J. Muñoz-Merino; Tinne De Laet; Alejandro Ortega-Arranz; Tracie Farrell. Springer Science and Business Media Deutschland GmbH, 2022. p. 455-462 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13450 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Miranda

T2 - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022

AU - Maldonado-Mahauad, Jorge

AU - Pérez-Sanagustín, Mar

AU - Carvallo-Vega, Juan

AU - Narvaez, Edwin

AU - Calle, Mauricio

PY - 2022

Y1 - 2022

N2 - Learning Analytics (LA) aims to understand and optimize the learning process in the environments in which they occur. It also offers opportunities for teachers to understand students’ behavior and promote the use of effective strategies that allow them to achieve their goals. Most of current solutions proposed in the literature for supporting students’ SRL are based on dashboards. However, if students do not interact with them, it becomes difficult to understand whether they have an impact in their self-regulated behavior. This demonstration, presents Miranda: A Chatbot that acts as a conversational agent to recommend and make suggestions on SRL strategies based on students’ the behavior. The first version of Miranda has been developed for Moodle, but it could be adapted to any other Learning Management System.

AB - Learning Analytics (LA) aims to understand and optimize the learning process in the environments in which they occur. It also offers opportunities for teachers to understand students’ behavior and promote the use of effective strategies that allow them to achieve their goals. Most of current solutions proposed in the literature for supporting students’ SRL are based on dashboards. However, if students do not interact with them, it becomes difficult to understand whether they have an impact in their self-regulated behavior. This demonstration, presents Miranda: A Chatbot that acts as a conversational agent to recommend and make suggestions on SRL strategies based on students’ the behavior. The first version of Miranda has been developed for Moodle, but it could be adapted to any other Learning Management System.

KW - Chatbot

KW - Conversational agent

KW - Learning Analytics

KW - Recommender system

KW - Self-regulated learning

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U2 - 10.1007/978-3-031-16290-9_36

DO - 10.1007/978-3-031-16290-9_36

M3 - Contribución a la conferencia

AN - SCOPUS:85137999377

SN - 9783031162893

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

SP - 455

EP - 462

BT - Educating for a New Future

A2 - Hilliger, Isabel

A2 - Muñoz-Merino, Pedro J.

A2 - De Laet, Tinne

A2 - Ortega-Arranz, Alejandro

A2 - Farrell, Tracie

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 12 September 2022 through 16 September 2022

ER -

Maldonado-Mahauad J, Pérez-Sanagustín M, Carvallo-Vega J, Narvaez E, Calle M. Miranda: A Chatbot for Supporting Self-regulated Learning. In Hilliger I, Muñoz-Merino PJ, De Laet T, Ortega-Arranz A, Farrell T, editors, Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 455-462. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-16290-9_36

Miranda: A Chatbot for Supporting Self-regulated Learning

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Learning analytics for the study of self -regulated learning strategies in a context of hybrid learning

Cite this

Miranda: A Chatbot for Supporting Self-regulated Learning

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Learning analytics for the study of self -regulated learning strategies in a context of hybrid learning

Cite this