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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

7 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Educating for a New Future
Subtítulo de la publicación alojada	Making Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Proceedings
Editores	Isabel Hilliger, Pedro J. Muñoz-Merino, Tinne De Laet, Alejandro Ortega-Arranz, Tracie Farrell
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	455-462
Número de páginas	8
ISBN (versión impresa)	9783031162893
DOI	https://doi.org/10.1007/978-3-031-16290-9_36
Estado	Publicada - 2022
Evento	17th European Conference on Technology Enhanced Learning, EC-TEL 2022 - Toulouse, Francia Duración: 12 sep. 2022 → 16 sep. 2022

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	13450 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	17th European Conference on Technology Enhanced Learning, EC-TEL 2022
País/Territorio	Francia
Ciudad	Toulouse
Período	12/09/22 → 16/09/22

Acceder al documento

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

Otros archivos y enlaces

Enlace a la publicación en Scopus

Analítica De Aprendizaje Para El Estudio De Estrategias De Aprendizaje Autorregulado En Un Contexto De Aprendizaje Híbrido
Maldonado Mahauad, J. J. (Director), Zuñiga Prieto, M. A. (Co-Director), Auquilla Sangolqui, A. V. (Investigador), Mejia Pesantez, P. M. (Investigador), Pesantez Cabrera, P. G. (Investigador), Veintimilla Reyes, J. E. (Investigador), Velez Ortiz, T. F. (Personal De Apoyo I+D) & Pérez Sanagustín, M. D. M. (Asesor Internacional)
9/09/19 → 8/09/21
Proyecto: Investigación

Citar esto

Maldonado-Mahauad, J., Pérez-Sanagustín, M., Carvallo-Vega, J., Narvaez, E., & Calle, M. (2022). Miranda: A Chatbot for Supporting Self-regulated Learning. En 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)).

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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.",

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

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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. En 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, Francia, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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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

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

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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

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ER -

Maldonado-Mahauad J, Pérez-Sanagustín M, Carvallo-Vega J, Narvaez E, Calle M. Miranda: A Chatbot for Supporting Self-regulated Learning. En Hilliger I, Muñoz-Merino PJ, De Laet T, Ortega-Arranz A, Farrell T, editores, 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

Resumen

Serie de la publicación

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Acceder al documento

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Proyectos

Analítica De Aprendizaje Para El Estudio De Estrategias De Aprendizaje Autorregulado En Un Contexto De Aprendizaje Híbrido

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