Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…

An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Metrix for a novel AES program that would score junior and senior high school students' essays from…

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 parasitic model proposes that novel words in L3 learning will build parasitic connections to already learned words that share orthographic or phonological similarities. This accounts for little in terms of the connections between words that share very few similarities. The present study explored the parasitic connections of L3 word concepts to…

No empirical studies exist comparing the effectiveness of the two prevalent foreign language methodologies, Communicative Language Teaching (CLT) and Teaching Proficiency through Reading and Storytelling (TPRS), at helping students achieve second language acquisition. In turn, the purpose of this quantitative, quasi-experimental study was to…