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…

Two experiments were conducted to test the hypothesis that sentence processing is an essential mediatory skill between word recognition and text comprehension in reading. In Experiment 1, a semantic similarity judgement task was used with children from Grade 2 to Grade 9. They had to say whether two written sentences had the same (or very similar)…

Knowledge of compound word structures in Chinese and English was investigated, comparing 435 Chinese and 258 Americans, including second, fourth, and sixth graders, and college undergraduates. As anticipated, the results revealed that Chinese speakers performed better on a word structure analogy task than their English-speaking counterparts. Also,…

This study tested the theory that future poor comprehenders would show modest but pervasive deficits in both language comprehension and production during early childhood as compared with future poor decoders and typical readers. Using an existing database (NICHD ECCRN), fifth-grade students were identified as having poor comprehension skills…

Mental models are basic cognitive constructs that are central for understanding phenomena of the world and predicting future events. Our comparison of two analysis approaches, SMD and QFCA, for measuring externalized mental models reveals different levels of abstraction and different perspectives. The advantages of the SMD include possibilities…

Automated scoring by means of Latent Semantic Analysis (LSA) has been introduced lately to improve the traditional human scoring system. The purposes of the present study were to develop a LSA-based assessment system to evaluate children's Chinese sentence construction skills and to examine the effectiveness of LSA-based automated scoring function…

The study investigated reading in four African languages that use either syllabic Ge'ez (Tigrinya and Tigre languages) or alphabetic Latin scripts (Kunama and Saho). A sample of 385 Grade 1 children were given letter knowledge, word reading, and spelling tasks to investigate differences at the script and language levels. Results showed that the…

The purpose of this study was to examine within- and across-language relationships between lexical and grammatical domains by focusing on measures of lexical diversity and grammatical complexity in Spanish and English. One hundred ninety-six preschool and school-aged Latino children with different levels of English and Spanish proficiencies and…

Background: English-speaking children with specific language impairment (SLI) perform more poorly than their typically developing peers in verbal working memory tasks where processing and storage are simultaneously required. Hungarian is a language with a relatively free word order and a rich agglutinative morphology. Aims: To examine the effect…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…