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Using Machine Learning to Predict UK and Japanese Secondary Students' Life Satisfaction in PISA 2018
Zexuan Pan; Maria Cutumisu – British Journal of Educational Psychology, 2024
Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…
Descriptors: Artificial Intelligence, Secondary School Students, Life Satisfaction, Foreign Countries
Kang, Tinghu; Tang, Tinghao; Zhang, Peizhi; Luo, Shu; Qi, Huanhuan – British Journal of Educational Psychology, 2023
Background: The ability to translate concrete manipulatives into abstract mathematical formulas can aid in the solving of mathematical word problems among students, and metacognitive prompts play a significant role in enhancing this process. Aims: Based on the concept of semantic congruence, we explored the effects of metacognitive prompts and…
Descriptors: Metacognition, Eye Movements, Cues, Elementary School Students