Improving learning experiences in software engineering capstone courses using artificial intelligence virtual assistants

dc.contributor.authorGonzalez, Luis A.
dc.contributor.authorNeyem, Andres
dc.contributor.authorContreras-McKay, Ignacio
dc.contributor.authorMolina, Danilo
dc.date.accessioned2025-01-20T21:08:14Z
dc.date.available2025-01-20T21:08:14Z
dc.date.issued2022
dc.description.abstractStudents of Software Engineering Capstone Courses face situations and challenges that grant them valuable experiences. However, as this knowledge is acquired through real-life exposure, it is difficult to transmit it across different generations. To deal with this problem, it has been proposed that students record their learnings through a lesson learned model. But the question of how future students can best benefit from these records remains unanswered. This study addresses this problem through the use of Artificial Intelligence (AI) Virtual Assistant combined with a recommender system. Artificial Intelligence Virtual Assistants, as conversational chatbots, are a manifestation of AI via the simulation of conversation with human users. The technology has the potential to provide personalized service to a range of stakeholders. Thus, we seek to move this trend forward by now pushing these capabilities into the field of higher education. Consequently, we aim to assist software engineering students by leveraging collective knowledge to enhance learning experiences.
dc.fuente.origenWOS
dc.identifier.doi10.1002/cae.22526
dc.identifier.eissn1099-0542
dc.identifier.issn1061-3773
dc.identifier.urihttps://doi.org/10.1002/cae.22526
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/93465
dc.identifier.wosidWOS:000794882600001
dc.issue.numero5
dc.language.isoen
dc.pagina.final1389
dc.pagina.inicio1370
dc.revistaComputer applications in engineering education
dc.rightsacceso restringido
dc.subjectartificial intelligence
dc.subjectchatbot
dc.subjectlessons learned
dc.subjectrecommender systems
dc.subjectsoftware engineering education
dc.titleImproving learning experiences in software engineering capstone courses using artificial intelligence virtual assistants
dc.typeartículo
dc.volumen30
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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