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dc.contributorSAOWALAK RUNGRATen
dc.contributorเสาวลักษณ์ รุ่งรัตน์th
dc.contributor.advisorAntony James harfielden
dc.contributor.advisorAntony James Harfieldth
dc.contributor.otherNaresuan University. Faculty of Scienceen
dc.descriptionMaster of Science (M.S.)en
dc.descriptionวิทยาศาสตรมหาบัณฑิต (วท.ม.)th
dc.description.abstractKidLearn is an M-learning platform for primary school children with a personalized learning component for Thai language learning. The purpose of this study is to describe and evaluate the personalization algorithm. By applying item response theory, the algorithm calculates ability in language topics based on responses to test questions and selects new content aimed at maximizing each child’s improvement in ability. An experiment was undertaken in 3 schools with 47 children with low-ability or learning difficulties in Thai language reading. The results show that improvements in the children’s ability in each topic were highly correlated with the ability calculated by the personalization algorithm. Therefore, as well as KidLearn providing an efficient means for boosting a child’s language learning across different topics, it effectively predicts a child’s language ability which provides educators an unobtrusive testing tool for monitoring progress.en
dc.publisherNaresuan Universityen_US
dc.rightsNaresuan Universityen_US
dc.subjectPersonalized learningen
dc.subjectItem response theoryen
dc.subjectIntelligent tutoring systemsen
dc.subjectLanguage learningen
dc.subject.classificationComputer Scienceen
dc.subject.classificationComputer Scienceen
dc.subject.classificationComputer Scienceen
dc.titleM-Learning platform for assessment and personalized learning of Thai language by primary school childrenen
dc.titleแอปพลิเคชันแพลตฟอร์มสําหรับประเมินการอ่านภาษาไทยและแนะนําการเรียนรู้เฉพาะบุคคล สําหรับเด็กประถมศึกษาth
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