Please use this identifier to cite or link to this item:
Title: M-Learning platform for assessment and personalized learning of Thai language by primary school children
แอปพลิเคชันแพลตฟอร์มสําหรับประเมินการอ่านภาษาไทยและแนะนําการเรียนรู้เฉพาะบุคคล สําหรับเด็กประถมศึกษา
เสาวลักษณ์ รุ่งรัตน์
Antony James harfield
Antony James Harfield
Naresuan University. Faculty of Science
Keywords: Personalized learning
Item response theory
Intelligent tutoring systems
Language learning
Issue Date: 2020
Publisher: Naresuan University
Abstract: KidLearn 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.
Description: Master of Science (M.S.)
วิทยาศาสตรมหาบัณฑิต (วท.ม.)
Appears in Collections:คณะวิทยาศาสตร์

Files in This Item:
File Description SizeFormat 
60063159.pdf3.79 MBAdobe PDFView/Open

Items in NU Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.