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Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
Trina D. Spencer; Marilyn S. Thompson; Douglas B. Petersen; Yixing Liu; M. Adelaida Restrepo – Grantee Submission, 2023
For young Spanish-speaking children entering U. S. schools, it is imperative that educators foster growth in the home language and in the language of instruction to the fullest extent possible. Monitoring language development over time is crucial for promoting language development because it allows educators to individualize student instruction.…
Descriptors: Spanish Speaking, English (Second Language), Second Language Learning, Native Language
Guo, Liang; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2013
This study explores whether linguistic features can predict second language writing proficiency in the Test of English as a Foreign Language (TOEFL iBT) integrated and independent writing tasks and, if so, whether there are differences and similarities in the two sets of predictive linguistic features. Linguistic features related to lexical…
Descriptors: English (Second Language), Linguistics, Second Language Learning, Writing Skills
Gordon, Rachel A.; Peng, Fang – Grantee Submission, 2020
The standard scoring of the CLASS PreK produces three domain scores that are widely used in research, practice and policy. Despite these domains being based on developmental theory and research, limited empirical evidence exists for the three-domain structure as operationalized in the CLASS PreK. Using the 2009 and 2014 Head Start Family and Child…
Descriptors: Preschool Education, Low Income Groups, Federal Programs, Factor Structure
Crossley, Scott A.; Kyle, Kristopher; Allen, Laura K.; Guo, Liang; McNamara, Danielle S. – Grantee Submission, 2014
This study investigates the potential for linguistic microfeatures related to length, complexity, cohesion, relevance, topic, and rhetorical style to predict L2 writing proficiency. Computational indices were calculated by two automated text analysis tools (Coh- Metrix and the Writing Assessment Tool) and used to predict human essay ratings in a…
Descriptors: Computational Linguistics, Essays, Scoring, Writing Evaluation
Crossley, Scott; McNamara, Danielle – Grantee Submission, 2013
This study explores the potential for automated indices related to speech delivery, language use, and topic development to model human judgments of TOEFL speaking proficiency in second language (L2) speech samples. For this study, 244 transcribed TOEFL speech samples taken from 244 L2 learners were analyzed using automated indices taken from…
Descriptors: English (Second Language), Language Proficiency, Language Tests, Speech Communication