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…

The purpose of this meta-synthesis is to formulate a hypothesis concerning the importance of diacritical marks in Arabic word recognition for typically developed Arabic readers. I propose that the importance of diacritical marks in Arabic word recognition varies as a function of grade level, stimuli frequency, and text affiliation. Stimuli…

When conducting item reviews, analysts evaluate an array of statistical and graphical information to assess the fit of a field test (FT) item to an item response theory model. The process can be tedious, particularly when the number of human reviews (HR) to be completed is large. Furthermore, such a process leads to decisions that are susceptible…