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dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorBinkytė-Vėlienė, Arūnė
dc.contributor.authorVetlovienė, Ingrida
dc.contributor.authorSkirmantas, Darius
dc.contributor.authorKuzminskė, Agnė
dc.date.accessioned2023-09-18T20:31:40Z
dc.date.available2023-09-18T20:31:40Z
dc.date.issued2020
dc.identifier.issn2340-1117
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/150708
dc.description.abstractMuch of the worldwide researches conducted seek to establish the determinants of study results. The idea has been to prove that interest, arousal, valence and learning productivity have a great deal of influence on the results learners are able to achieve. Noteworthy from such researches is the rather close relationship between the interests, arousal, valence and learning productivity with the academic achievements by students. A subject for learning seemingly requires constant adaptation, as experts in the field have noticed, relevant to situational and individual interests. This is needed to stimulate interest, increase learning productivity and sustain a rational level of stress among students. Thereby the authors of the article undertook the development of a highly suitable tool to accomplish such a goal, the Affective, Intelligent, Tutoring System for Passive House Neuromarketing (with the acronym ATHENA). Integration of the self-assessment and self-esteem measurements of students with multimodal biometric and intelligent methodologies and technologies is an ATHENA innovation. This new System custom makes a rational learning process for some specific student. This can be accomplished with biometric technologies by considering the level of interest in some study, its difficulty and the stress level the study course generates. An automatic function, which this System includes, assembles an optimized set of personalized materials aimed at some specific student relevant to a topic of a study module. The partial demonstration of this newly-developed System appears as a case study in this article.eng
dc.formatPDF
dc.format.extentp. 946-954
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyIATED digital library
dc.source.urihttps://library.iated.org/publications/EDULEARN20
dc.titleAn affective, intelligent, tutoring system for passive house neuromarketing
dc.typeStraipsnis konferencijos darbų leidinyje kitoje DB / Paper in conference publication in other DB
dcterms.references40
dc.type.pubtypeP1c - Straipsnis konferencijos darbų leidinyje kitoje DB / Article in conference proceedings in other DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVšĮ Lietuvos verslo paramos agentūra
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.enartificial intelligence
dc.subject.ensmart technology
dc.subject.enaffective tutoring systems
dc.subject.enstudent behaviour
dc.subject.enacademic performances and achievements, interest in studies, emotion
dcterms.sourcetitleEDULEARN 20: 12th international conference on education and new learning technologies online conference, 6-7 July 2020, Palma, Spain
dc.publisher.nameIATED
dc.publisher.cityValencia
dc.identifier.doi10.21125/edulearn.2020.0334
dc.identifier.elaba69287351


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