Mostrar el registro sencillo del ítem

Chatbot to Assist the Learning Process of Programming in Python

dc.contributor.authorSánchez M
dc.contributor.authorGabriel M. Ramirez V
dc.contributor.authorArango-López J
dc.contributor.authorMoreira F.
dc.date.accessioned2024-07-31T21:06:51Z
dc.date.available2024-07-31T21:06:51Z
dc.date.created2024
dc.identifier.isbn9783031456442
dc.identifier.issn23673370
dc.identifier.urihttp://hdl.handle.net/11407/8409
dc.descriptionAs the technology of conversational assistants’ advances, new uses and needs arise in multiple sectors such as training and education. In this work, a chatbot is developed with Artificial Intelligence technology to help and support doubts and queries when studying the Python programming language. This chatbot will be able to respond in Spanish language and in written form to questions related to programming so that it can speed up the resolution of doubts to beginner users. To create this chatbot library and the free and open-source Rasa framework will be used to enable the processing of natural language and neural networks to provide answers to users’ questions. In addition, the chatbot will be integrated into Telegram by accessing a specific account created for this purpose. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85186769416&doi=10.1007%2f978-3-031-45645-9_30&partnerID=40&md5=aef5a1670263b173481a02b13b044076
dc.sourceLecture Notes in Networks and Systems
dc.sourceLect. Notes Networks Syst.
dc.sourceScopus
dc.subjectArtificial Intelligenceeng
dc.subjectChatboteng
dc.subjectProgrammingeng
dc.subjectPythoneng
dc.subjectRasaeng
dc.subjectArtificial intelligenceeng
dc.subjectHigh level languageseng
dc.subjectLearning systemseng
dc.subjectOpen source softwareeng
dc.subjectArtificial intelligence technologieseng
dc.subjectChatbotseng
dc.subjectLearning processeng
dc.subjectOpen-sourceeng
dc.subjectProgrammingeng
dc.subjectPython programming languageeng
dc.subjectRasaeng
dc.subjectSpanish languageeng
dc.subjectSpeed upeng
dc.subjectTraining and educationeng
dc.subjectPythoneng
dc.titleChatbot to Assist the Learning Process of Programming in Pythoneng
dc.typeconference paper
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemasspa
dc.type.spaDocumento de conferencia
dc.identifier.doi10.1007/978-3-031-45645-9_30
dc.relation.citationvolume800
dc.relation.citationstartpage318
dc.relation.citationendpage328
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationSánchez, M., Escuela de Ingeniería, Universidad Internacional de La Rioja, Av. de la Paz, 137, Logroño, La Rioja, 26006, Spain
dc.affiliationGabriel M. Ramirez, V., Facultad de Ingeniería, Universidad de Medellín, Cra, . 87 #30-65, Medellín, Colombia
dc.affiliationArango-López, J., Depto. de Ingeniería de Sistemas e Informática, Universidad de Caldas, Manizales, Colombia
dc.affiliationMoreira, F., REMIT. IJP, Universidade Portucalense, Porto, Portugal, IEETA, Universidade de Aveiro, Aveiro, Portugal
dc.relation.referencesRepositorio De Manuales Y Recursos Del Entrenamiento Programación En Python Nivel básico, , https://github.com/Covantec
dc.relation.referencesTuring, M.A., (1950) Computing Machinery and Intelligence. Mind, 49, pp. 433-460
dc.relation.referencesWeizenbaum, J., Symmetric list processor (1963) Commun. ACM, 6, pp. 524-544
dc.relation.referencesColby, K.M., Turing-like indistinguishability test for the validation (1972) Artif. Intell., 3, pp. 199-221
dc.relation.referencesWallace, R., (2022) The Elements of AIML Style, , http://www.Alicebot.org/. Accessed 15, May
dc.relation.referencesMatthew, B., Alexa, Siri, Cortana, and More: An introduction to voice assistants (2018) Med. Ref. Serv. Q., 37 (1), pp. 81-88
dc.relation.referencesEpstein, J., Klinkenberg, W.D., From Eliza to Internet: A brief history of computerized assessment (2001) Comput. Hum. Beahv., 17, pp. 295-314. , https://doi.org/10.1016/S0747-563 2(01)00004-8
dc.relation.referencesXenioo: Xenioo. Omnichannel Chatbot Platform. https://www.xenioo.com/. Accessed 20 May 2022
dc.relation.referencesVoiceflow: Voiceflow. Design, prototype & launch voice & chat apps, https://www.voiceflow. com. Accessed 25 May 2022
dc.relation.references(2022) Microsoft Visual, , https://code.visualstudio.com/. Accessed 10, June
dc.relation.referencesGoogle: Dialogflow. https://dialogflow.cloud.google.com. Accessed 17 May 2022
dc.relation.references(2022) Amazon: Amazon Lex. Https://Aws.Amazon.Com/Es/Lex. Accessed, p. 10. , June
dc.relation.referencesFacebook: Facebook Messenger. https://www.facebook.com/messenger/. Accessed 21 May 2022
dc.relation.referencesIBM: IBM Watson. https://www.ibm.com/es-es/watson. Accessed 14 June 2022
dc.relation.referencesPandorabots: Pandorabots. https://home.pandorabots.com. Accessed 13 Apr 2022
dc.relation.referencesWit.ai: Wit.ai. https://wit.ai. Accessed 13 June 2022
dc.relation.referencesBotsify: Botsify-A Fully Managed Chatbot Platform To Build AI-Chatbot. https://botsify. com. Accessed 21 May 2022
dc.relation.referencesSap: Sap Conversational. https://www.sap.com. Accessed 9 May 2022
dc.relation.referencesBotfuel: Botfuel. https://www.botfuel.io. Accessed 9 May 2022
dc.relation.referencesYoutube: Youtube. https://www.youtube.com/. Accessed 4 June 2022
dc.relation.referencesBeautifulSoup: BeautifulSoup. https://www.crummy.com/software/BeautifulSoup. Accessed 5 June 2022
dc.relation.referencesManychat: Manychat. https://manychat.com/. Accessed 5 June 2022
dc.relation.referencesChatfuel: Chatfuel. https://chatfuel.com/. Accessed 11 June 2022
dc.relation.referencesCastillo, A., RASA Framework Análisis E Implementación De Un Chatbot
dc.relation.referencesMadrid, N.: Métricas de usabilidad y experiencia de usuario. https://www.nachomadrid.com/2020/01/metricas-de-usabilidad-y-experiencia-de-usuario/. Accessed 17 May 2022
dc.relation.referencesCarreras, O., Validadores Y Herramientas Para consultorías De Accesibilidad Y Usabilidad, , https://www.usableyaccesible.com/recurso_misvalidadores.php. Accessed, Apr 2022
dc.relation.referencesAntevenio: Chatbots efectivos para captar clientes: los mejores ejemplos. https://www.anteve nio.com/blog/2019/07/chatbots-efectivos-para-captar-clientes/. Accessed 18 Apr 2022
dc.relation.referencesRios, J., El Valor pedagógico De Telegram Como Complemento Del Mobile Learning En La formación En Finanzas: aplicación práctica a Un Caso De Estudio
dc.relation.referencesVega, D., Programación Con Lenguaje Python 3.X Basado En Microsoft Bot Framework
dc.relation.referencesWeizenbaum, J., ELIZA, a computer program for the study of natural language communication between man and machine (1966) Commun. ACM, 9 (1), pp. 36-45
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín
dc.contributor.event11th World Conference on Information Systems and Technologies, WorldCIST 2023


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem