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Using Machine Learning to Predict UK and Japanese Secondary Students' Life Satisfaction in PISA 2018
Direct linkZexuan 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
Structure and Process in Pupils' Essays: A Graphical Analysis of the Organisation of Extended Prose.
Peer reviewedCosta Pereira, D.J.V.; Maskill, R. – British Journal of Educational Psychology, 1983
Suggests a method for analyzing structure and process in prose using algorithms based on graph theory and rules based in syntax. Describes application of the method to essays written by 52 fourteen year old pupils on a newly learned topic in chemistry. (Author/GC)
Descriptors: Algorithms, Behavior, Evaluation Methods, Graphs
