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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
Fortune, Navine P. – Online Submission, 2020
Investigators have addressed elementary practitioners' perspectives concerning the concept of curriculum development and children's learning; however, much less information is available on prekindergarten practitioners' perspectives of curriculum for at-risk prekindergarten students. This basic qualitative study explored prekindergarten…
Descriptors: Curriculum Development, At Risk Students, Preschool Teachers, Preschool Education
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Hopkins, Liza; Wadley, Greg; Vetere, Frank; Fong, Maria; Green, Julie – Australian Journal of Education, 2014
Reduced school attendance is a recognised risk factor for poorer outcomes both educationally and across a wide range of social, economic and personal indicators throughout life. Children and young people with chronic health conditions often have poor or disrupted records of school attendance due to periods of hospitalisation and time spent…
Descriptors: Technology Integration, Hospitalized Children, Elementary School Students, At Risk Students