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• Automated scoring can support assessment of SGQ in elementary reading. • The study compared feature-based and deep learning models for SGQ quality scoring. • Results show strong alignment between machine and human scoring of cognitive engagement. • Feature-based models offered interpretability but lower scoring performance. • Results support the use of ML for scalable and interpretable SGQ assessment.
Kim et al. (Mon,) studied this question.