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dc.contributor.authorSirithumgul, Pornpaten_US
dc.contributor.authorพรภัทร์ ศิริธรรมกุลen_US
dc.date.accessioned2023-05-31T09:11:28Z
dc.date.available2023-05-31T09:11:28Z
dc.date.issued2023-05-31
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/4111
dc.descriptionรายงานวิจัย -- มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2565en_US
dc.description.abstractThis research suggests an add-on working compatibly with Google Forms to construct multiple-choice questions (MCQs). This add-on comprises two main components, including software for constructing MCQs, and a data storage for collecting data used to compose MCQs. I demonstrated effectiveness of the add-on by applying it in the context of repetition online learning in which students could learn, relearn, and take an exam of which MCQs generated by the add-on. At the last step of this research, I suggest using a sentiment analysis method – based on natural language processing and machine learning to find environmental factors and teaching strategies suitable for the repetition online learning.en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectComputer softwareen_US
dc.subjectซอฟต์แวร์en_US
dc.titleAn application of machine learning algorithms to identify success factors being promoted by repetition online learningen_US
dc.title.alternativeการประยุกต์อัลกอริทึมการเรียนรู้ของเครื่องเพื่อระบุปัจจัยความสำเร็จที่ถูกสนับสนุนโดยการเรียนออนไลน์แบบวนซ้ำen_US
dc.typeResearch Reporten_US
dc.contributor.emailauthorarit@rmutp.ac.then_US
dc.contributor.emailauthorpornpat.s@rmutp.ac.then_US


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