Adaptive learning module for a conversational agent to support MOOC learners

dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorGonzalez Castro, Nuria
dc.contributor.authorMuñoz Merino, Pedro José
dc.contributor.authorAlario-Hoyos, Carlos
dc.contributor.authorDelgado Kloos, Carlos
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderComunidad de Madrides
dc.description.abstractMassive open online courses (MOOCs) pose a challenge for instructors when trying to provide personalised support to learners, due to large numbers of registered participants. Conversational agents can be of help to support learners when working with MOOCs. This article presents an adaptive learning module for JavaPAL, a conversational agent that complements a MOOC on Java programming, helping learners review the key concepts of the MOOC. This adaptive learning module adapts the difficulty of the questions provided to learners considering their level of knowledge using item response theory (IRT) and also provides recommendations of video fragments extracted from the MOOC for when learners fail questions. The adaptive learning module for JavaPAL has been evaluated showing good usability and learnability through the system usability scale (SUS), reasonably suitable video fragments recommendations for learners, and useful visualisations generated as part of the IRT-based adaptation of questions for instructors to better understand what is happening in the course, to design exams, and to redesign the course content.en
dc.description.sponsorshipThis work was supported in part by the FEDER/Ministerio de Ciencia, Innovación y Universidades–Agencia Estatal de Investigación, through the Smartlet Project under Grant TIN2017-85179-C3-1-R, and in part by the Madrid Regional Government through the e-Madrid-CM Project under Grant S2018/TCS-4307, a project which is co-funded by the European Structural Funds (FSE and FEDER). Partial support has also been received from the European Commission through Erasmus+ Capacity Building in the Field of Higher Education projects, more specifically through projects LALA, InnovaT and PROF-XXI (586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP), (598758-EPP-1-2018-1-AT-EPPKA2-CBHE-JP), (609767-EPP-1-2019-1-ES-EPPKA2-CBHE-JP). This work has also been supported by the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with UC3M in the line of Excellence of University Professors (EPUC3M21), and in the context of the V PRICIT (Regional Programme of Research and Technological Innovation).This publication reflects the views only of the authors and funders cannot be held responsible for any use which may be made of the information contained therein.en
dc.identifier.bibliographicCitationGonzález-Castro, N., Muñoz-Merino, P. J., Alario-Hoyos, C. & Delgado Kloos, C. (2021). Adaptive learning module for a conversational agent to support MOOC learners. Australasian Journal of Educational Technology, 37(2), 24-44.en
dc.identifier.publicationtitleAustralasian Journal of Educational Technologyen
dc.publisherASCILITE: Australasian Society for Computers in Learning in Tertiary Educationen
dc.relation.projectIDGobierno de España. TIN2017-85179-C3-1-Res
dc.relation.projectIDComunidad de Madrid. S2018/TCS-4307es
dc.rights(c) 2021 Nuria González-Castro, Pedro J. Muñoz-Merino, Carlos Alario-Hoyos, Carlos Delgado Klooses
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen access
dc.subject.otherConversational agenten
dc.subject.otherAdaptive learningen
dc.subject.otherItem response theoryen
dc.subject.otherJava programmngen
dc.subject.otherExpert evaluationen
dc.titleAdaptive learning module for a conversational agent to support MOOC learnersen
dc.typeresearch article*
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