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Using Machine Learning to Predict Children's Reading Comprehension from Linguistic Features Extracted from Speech and Writing
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Sinclair, Jeanne; Jang, Eunice Eunhee; Rudzicz, Frank – Journal of Educational Psychology, 2021
Advances in machine learning (ML) are poised to contribute to our understanding of the linguistic processes associated with successful reading comprehension, which is a critical aspect of children's educational success. We used ML techniques to investigate and compare associations between children's reading comprehension and 260 linguistic…
Descriptors: Prediction, Reading Comprehension, Natural Language Processing, Speech Communication
Investigating the Potential of NLP-Driven Linguistic and Acoustic Features for Predicting Human Scores of Children's Oral Language Proficiency
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Hunte, Melissa R.; McCormick, Samantha; Shah, Maitree; Lau, Clarissa; Jang, Eunice Eunhee – Assessment in Education: Principles, Policy & Practice, 2021
Children's oral language proficiency (OLP) is integral for developing literacy skills. Storytelling or retelling is often used by parents and educators to elicit children's OLP, yet it is less commonly used for assessment purposes. Leveraged by natural language processing and machine learning, this study examined the extent to which computational…
Descriptors: Scores, Natural Language Processing, Oral Language, Language Proficiency