Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58701
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dc.contributor.authorSittichai Bussamanen_US
dc.contributor.authorWongpanya Nuankaewen_US
dc.contributor.authorPratya Nuankaewen_US
dc.contributor.authorNapa Rachataen_US
dc.contributor.authorKanakarn Phanniphongen_US
dc.contributor.authorPloykwan Jedeejiten_US
dc.date.accessioned2018-09-05T04:28:52Z-
dc.date.available2018-09-05T04:28:52Z-
dc.date.issued2018-01-08en_US
dc.identifier.other2-s2.0-85047244277en_US
dc.identifier.other10.1109/TALE.2017.8252332en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047244277&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58701-
dc.description.abstract© 2017 IEEE. Today's rapidly changing in Technology Enhanced Learning (TEL) and Lifelong Learning Styles (LLS) are becoming a part of everyday life. This objectives of the paper is to develop a theoretical framework and provide perspectives of Learning Strategies (LS) and Learning Achievement (LA) for Lifelong learning at the high school in the Maha Sarakham province. The paper is focused on identifying the first steps needed to make learning academic achievement. The data gathering is collected from 668 students at Phadungnaree School, Maha Sarakham province. The method consists of three processes: data collection, data analysis and model development, and evaluation of model performance. The results of the study found that the factors that affect students are basic chemistry course (s30102), basic biology course (s30103), and physics course (s30101). Finally, the testing results and measurement the performance of the model are high scores (94.51%), which can be further developed into software applications and mobile applications.en_US
dc.subjectEngineeringen_US
dc.subjectSocial Sciencesen_US
dc.titlePrediction models of learning strategies and learning achievement for lifelong learningen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleProceedings of 2017 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2017en_US
article.volume2018-Januaryen_US
article.stream.affiliationsRajabhat Maha Sarakham Universityen_US
article.stream.affiliationsUniversity of Phayaoen_US
article.stream.affiliationsRajamangala University of Technology Tawan-oken_US
article.stream.affiliationsChiang Mai Universityen_US
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