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…

This edited volume brings together large-scale research as well as case studies from a range of geographical contexts and represents a variety of educational settings involving second language learners and users. Its aim is to explore the interrelated issues of psychology and technology use in second language learning settings as well as in more…

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…

In 2006, a consortium of state departments of education, led by the North Carolina Department of Public Instruction and the Council of Chief State School Officers, was awarded a grant from the U.S. Department of Education to investigate methods of determining comparability of variations of states' assessments used to meet the requirements of the…

The work aims to improve the assessment of creative problem-solving in science education by employing language technologies and computational-statistical machine learning methods to grade students' natural language responses automatically. To evaluate constructs like creative problem-solving with validity, open-ended questions that elicit…