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Wudhijaya Philuek – Asian Journal of Education and Training, 2024
The objectives of this research were 1) to study the problems of stress and depression among Grade 12 students; 2) to investigate the machine learning technique in analyzing and predicting stress, depression, and academic performance among Grade 12 students; and 3) to evaluate the stress and depression prediction platform. Students from schools in…
Descriptors: Artificial Intelligence, Stress Variables, Depression (Psychology), Academic Achievement
Rungsilp, Chutimon; Piromsopa, Krerk; Viriyopase, Atthaphon; U-Yen, Kongpop – International Association for Development of the Information Society, 2021
The study of mind-wandering is popular since it is linked to the emotional problems and working/learning performance. In terms of education, it impacts comprehension during learning which affects academic success. Therefore, we sought to develop a machine learning model for an embedded portable device that can categorize mind-wandering state to…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Artificial Intelligence, Cognitive Processes