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Direct linkYi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Download full textJoshua B. Gilbert; James S. Kim; Luke W. Miratrix – Annenberg Institute for School Reform at Brown University, 2022
Analyses that reveal how treatment effects vary allow researchers, practitioners, and policymakers to better understand the efficacy of educational interventions. In practice, however, standard statistical methods for addressing Heterogeneous Treatment Effects (HTE) fail to address the HTE that may exist within outcome measures. In this study, we…
Descriptors: Item Response Theory, Models, Formative Evaluation, Statistical Inference
Peer reviewedFragkouli, Konstantina; Antoniou, Faye; Mouzaki, Angeliki; Ralli, Asimina M.; Kokkali, Vasiliki; Alexoudi, Kariofyllia – Reading & Writing Quarterly, 2022
The development of spelling skill is an intricate process for children with or at risk of Specific Learning Disabilities and requires targeted interventions. This problem exacerbates in the Greek orthographic system owning to its high complexity. The current study presents a novel spelling intervention program for Greek 3rd graders at risk of…
Descriptors: Intervention, Spelling, At Risk Students, Reading Fluency
