AI Chatbot for Teachers for an LMS Platform

Camilo Rivillas Cardona; V. Gabriel; Jaime Diaz; Fernando Moreira

doi:10.1007/978-3-031-45645-9_29

AI Chatbot for Teachers for an LMS Platform

Camilo Rivillas Cardona, V. Gabriel, Jaime Diaz, Fernando Moreira

Grupo de Investigación ARKADIUS

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

Resumen

This work consists of creating a Chatbot agent using RASA, Python, and PHP to automate the teachers’ assistance in the learning and education management platform Ciudad Educativa, which is focused on primary and secondary education. A knowledge base has been created in RASA; this knowledge base has 159 intentions. It comprises 131 frequently asked questions and 28 management and control intentions to train the machine learning model. Primary and secondary schools significantly vary in parameterization as well as pedagogical and educational methodologies. This variability is identified according to the contexts and intent combined to provide adequate assistance to the user. The Chatbot has been integrated with the chat module of the same platform. It was evaluated by a sample of teachers who rated 82.9% of the answers presented by the Chatbot to the questions as applicable.

Idioma original	Inglés
Título de la publicación alojada	Information Systems and Technologies - WorldCIST 2023
Editores	Alvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Valentina Colla
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	307-317
Número de páginas	11
ISBN (versión impresa)	9783031456442
DOI	https://doi.org/10.1007/978-3-031-45645-9_29
Estado	Publicada - 2024
Evento	11th World Conference on Information Systems and Technologies, WorldCIST 2023 - Pisa, Italia Duración: 4 abr. 2023 → 6 abr. 2023

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	800
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	11th World Conference on Information Systems and Technologies, WorldCIST 2023
País/Territorio	Italia
Ciudad	Pisa
Período	4/04/23 → 6/04/23

Tipos de productos de Minciencias

Artículo C - Q4

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-031-45645-9_29

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Cardona, C. R., Gabriel, V., Diaz, J., & Moreira, F. (2024). AI Chatbot for Teachers for an LMS Platform. En A. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & V. Colla (Eds.), Information Systems and Technologies - WorldCIST 2023 (pp. 307-317). (Lecture Notes in Networks and Systems; Vol. 800). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-45645-9_29

Cardona, Camilo Rivillas ; Gabriel, V. ; Diaz, Jaime et al. / AI Chatbot for Teachers for an LMS Platform. Information Systems and Technologies - WorldCIST 2023. editor / Alvaro Rocha ; Hojjat Adeli ; Gintautas Dzemyda ; Fernando Moreira ; Valentina Colla. Springer Science and Business Media Deutschland GmbH, 2024. pp. 307-317 (Lecture Notes in Networks and Systems).

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title = "AI Chatbot for Teachers for an LMS Platform",

abstract = "This work consists of creating a Chatbot agent using RASA, Python, and PHP to automate the teachers{\textquoteright} assistance in the learning and education management platform Ciudad Educativa, which is focused on primary and secondary education. A knowledge base has been created in RASA; this knowledge base has 159 intentions. It comprises 131 frequently asked questions and 28 management and control intentions to train the machine learning model. Primary and secondary schools significantly vary in parameterization as well as pedagogical and educational methodologies. This variability is identified according to the contexts and intent combined to provide adequate assistance to the user. The Chatbot has been integrated with the chat module of the same platform. It was evaluated by a sample of teachers who rated 82.9% of the answers presented by the Chatbot to the questions as applicable.",

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author = "Cardona, {Camilo Rivillas} and V. Gabriel and Jaime Diaz and Fernando Moreira",

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Cardona, CR, Gabriel, V, Diaz, J & Moreira, F 2024, AI Chatbot for Teachers for an LMS Platform. En A Rocha, H Adeli, G Dzemyda, F Moreira & V Colla (eds.), Information Systems and Technologies - WorldCIST 2023. Lecture Notes in Networks and Systems, vol. 800, Springer Science and Business Media Deutschland GmbH, pp. 307-317, 11th World Conference on Information Systems and Technologies, WorldCIST 2023, Pisa, Italia, 4/04/23. https://doi.org/10.1007/978-3-031-45645-9_29

AI Chatbot for Teachers for an LMS Platform. / Cardona, Camilo Rivillas; Gabriel, V.; Diaz, Jaime et al.
Information Systems and Technologies - WorldCIST 2023. ed. / Alvaro Rocha; Hojjat Adeli; Gintautas Dzemyda; Fernando Moreira; Valentina Colla. Springer Science and Business Media Deutschland GmbH, 2024. p. 307-317 (Lecture Notes in Networks and Systems; Vol. 800).

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

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AU - Moreira, Fernando

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

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AB - This work consists of creating a Chatbot agent using RASA, Python, and PHP to automate the teachers’ assistance in the learning and education management platform Ciudad Educativa, which is focused on primary and secondary education. A knowledge base has been created in RASA; this knowledge base has 159 intentions. It comprises 131 frequently asked questions and 28 management and control intentions to train the machine learning model. Primary and secondary schools significantly vary in parameterization as well as pedagogical and educational methodologies. This variability is identified according to the contexts and intent combined to provide adequate assistance to the user. The Chatbot has been integrated with the chat module of the same platform. It was evaluated by a sample of teachers who rated 82.9% of the answers presented by the Chatbot to the questions as applicable.

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T2 - 11th World Conference on Information Systems and Technologies, WorldCIST 2023

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ER -

AI Chatbot for Teachers for an LMS Platform

Resumen

Serie de la publicación

Conferencia

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ODS de las Naciones Unidas

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