Publication:
Matching learning styles with digital media preference for recommending SQL instruction in a database management course

dc.contributor.authorJirapipat Thanyaphongphaten_US
dc.contributor.authorPatcharin Panjabureeen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-12-11T02:41:32Z
dc.date.accessioned2019-03-14T08:04:35Z
dc.date.available2018-12-11T02:41:32Z
dc.date.available2019-03-14T08:04:35Z
dc.date.issued2016-01-01en_US
dc.description.abstractCopyright 2016 Asia-Pacific Society for Computers in Education. All rights reserved. With the benefits of online learning environment, digital media related to personalized information of individual students have been rapidly developed. For learning Structured Query Language (SQL) in a database management system, although, there were various online learning systems, which were developed based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this study, an innovative approach has been proposed by basing upon two main sources of personalization information that is, learning styles and digital media preference. This paper, a pilot study was conducted to explore the relation between learning styles and preferred digital media for arranging the sequence of digital media to each student learning on SQL topic.en_US
dc.identifier.citationICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Workshop Proceedings. (2016), 348-356en_US
dc.identifier.other2-s2.0-85018981300en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/43523
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018981300&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleMatching learning styles with digital media preference for recommending SQL instruction in a database management courseen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018981300&origin=inwarden_US

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