LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems

This paper presents LAMB (Learning Assistant Manager and Builder), an innovative open-source software framework designed to create AI-powered Learning Assistants tailored for integration into learning management systems. LAMB addresses critical gaps in existing educational AI solutions by providing...

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Autores: Alier Forment, Marc|||0000-0003-3922-1516, Pereira, Juanan, García Peñalvo, Francisco Javier, Casany Guerrero, María José|||0000-0002-5072-6745, Cabré Garcia, José M.
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/420254
Acceso en línea:https://hdl.handle.net/2117/420254
https://dx.doi.org/10.1016/j.csi.2024.103940
Access Level:acceso abierto
Palabra clave:Generative artificial intelligence
Education domain
Learning assistant
Retrieval-Augmented Generation (RAG)
Large language model (LLM)
IMS learning tools interoperability (LTI)
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació
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oai_identifier_str oai:upcommons.upc.edu:2117/420254
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems
title LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems
spellingShingle LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems
Alier Forment, Marc|||0000-0003-3922-1516
Generative artificial intelligence
Education domain
Learning assistant
Retrieval-Augmented Generation (RAG)
Large language model (LLM)
IMS learning tools interoperability (LTI)
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació
title_short LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems
title_full LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems
title_fullStr LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems
title_full_unstemmed LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems
title_sort LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems
dc.creator.none.fl_str_mv Alier Forment, Marc|||0000-0003-3922-1516
Pereira, Juanan
García Peñalvo, Francisco Javier
Casany Guerrero, María José|||0000-0002-5072-6745
Cabré Garcia, José M.
author Alier Forment, Marc|||0000-0003-3922-1516
author_facet Alier Forment, Marc|||0000-0003-3922-1516
Pereira, Juanan
García Peñalvo, Francisco Javier
Casany Guerrero, María José|||0000-0002-5072-6745
Cabré Garcia, José M.
author_role author
author2 Pereira, Juanan
García Peñalvo, Francisco Javier
Casany Guerrero, María José|||0000-0002-5072-6745
Cabré Garcia, José M.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Generative artificial intelligence
Education domain
Learning assistant
Retrieval-Augmented Generation (RAG)
Large language model (LLM)
IMS learning tools interoperability (LTI)
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació
topic Generative artificial intelligence
Education domain
Learning assistant
Retrieval-Augmented Generation (RAG)
Large language model (LLM)
IMS learning tools interoperability (LTI)
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació
description This paper presents LAMB (Learning Assistant Manager and Builder), an innovative open-source software framework designed to create AI-powered Learning Assistants tailored for integration into learning management systems. LAMB addresses critical gaps in existing educational AI solutions by providing a framework specifically designed for the unique requirements of the education sector. It introduces novel features, including a modular architecture for seamless integration of AI assistants into existing LMS platforms and an intuitive interface for educators to create custom AI assistants without coding skills. Unlike existing AI tools in education, LAMB provides a comprehensive framework that addresses privacy concerns, ensures alignment with institutional policies, and promotes using authoritative sources. LAMB leverages the capabilities of large language models and associated generative artificial intelligence technologies to create generative intelligent learning assistants that enhance educational experiences by providing personalized learning support based on clear directions and authoritative fonts of information. Key features of LAMB include its modular architecture, which supports prompt engineering, retrieval-augmented generation, and the creation of extensive knowledge bases from diverse educational content, including video sources. The development and deployment of LAMB were iteratively refined using a minimum viable product approach, exemplified by the learning assistant: “Macroeconomics Study Coach,” which effectively integrated lecture transcriptions and other course materials to support student inquiries. Initial validations in various educational settings demonstrate the potential that learning assistants created with LAMB have to enhance teaching methodologies, increase student engagement, and provide personalized learning experiences. The system's usability, scalability, security, and interoperability with existing LMS platforms make it a robust solution for integrating artificial intelligence into educational environments. LAMB's open-source nature encourages collaboration and innovation among educators, researchers, and developers, fostering a community dedicated to advancing the role of artificial intelligence in education. This paper outlines the system architecture, implementation details, use cases, and the significant benefits and challenges encountered, offering valuable insights for future developments in artificial intelligence assistants for any sector.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-12-10
2025
2025-03-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/420254
https://dx.doi.org/10.1016/j.csi.2024.103940
url https://hdl.handle.net/2117/420254
https://dx.doi.org/10.1016/j.csi.2024.103940
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405379109060608
spelling LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systemsAlier Forment, Marc|||0000-0003-3922-1516Pereira, JuananGarcía Peñalvo, Francisco JavierCasany Guerrero, María José|||0000-0002-5072-6745Cabré Garcia, José M.Generative artificial intelligenceEducation domainLearning assistantRetrieval-Augmented Generation (RAG)Large language model (LLM)IMS learning tools interoperability (LTI)Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificialÀrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educacióThis paper presents LAMB (Learning Assistant Manager and Builder), an innovative open-source software framework designed to create AI-powered Learning Assistants tailored for integration into learning management systems. LAMB addresses critical gaps in existing educational AI solutions by providing a framework specifically designed for the unique requirements of the education sector. It introduces novel features, including a modular architecture for seamless integration of AI assistants into existing LMS platforms and an intuitive interface for educators to create custom AI assistants without coding skills. Unlike existing AI tools in education, LAMB provides a comprehensive framework that addresses privacy concerns, ensures alignment with institutional policies, and promotes using authoritative sources. LAMB leverages the capabilities of large language models and associated generative artificial intelligence technologies to create generative intelligent learning assistants that enhance educational experiences by providing personalized learning support based on clear directions and authoritative fonts of information. Key features of LAMB include its modular architecture, which supports prompt engineering, retrieval-augmented generation, and the creation of extensive knowledge bases from diverse educational content, including video sources. The development and deployment of LAMB were iteratively refined using a minimum viable product approach, exemplified by the learning assistant: “Macroeconomics Study Coach,” which effectively integrated lecture transcriptions and other course materials to support student inquiries. Initial validations in various educational settings demonstrate the potential that learning assistants created with LAMB have to enhance teaching methodologies, increase student engagement, and provide personalized learning experiences. The system's usability, scalability, security, and interoperability with existing LMS platforms make it a robust solution for integrating artificial intelligence into educational environments. LAMB's open-source nature encourages collaboration and innovation among educators, researchers, and developers, fostering a community dedicated to advancing the role of artificial intelligence in education. This paper outlines the system architecture, implementation details, use cases, and the significant benefits and challenges encountered, offering valuable insights for future developments in artificial intelligence assistants for any sector.This research is partially funded by the Ministry of Science and Innovation through the AvisSA project grant number (PID2020- 118345RB-I00), the Departament de Recerca i Universitats de la Generalitat de Catalunya through the 2021 SGR 01412 research groups award, and the Universidad del País Vasco/Euskal Herriko Unibertsitatea through the contract GIU21/037 under the program “convocatoria para la Concesión de Ayudas a los Grupos de Investigación en la Universidad del País Vasco/Euskal Herriko Unibertsitatea (2021)”.Peer ReviewedElsevier20252025-03-0120242024-12-10journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/420254https://dx.doi.org/10.1016/j.csi.2024.103940reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4202542026-05-27T15:37:01Z
score 15,812429

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