Developing a Web-Based Intelligent Language Assessment Platform Powered by Natural Language Processing Technologies

We introduce System, an intelligent language assessment platform and reusable module that streamlines the creation, administration and scoring of language proficiency tests supported by Natural Language Processing (NLP) technologies. As a first implementation, we realized an automatic pipeline for the Elicited Imitation Test (EIT), a popular test format that has been widely adopted in language learning research for general proficiency and formative assessments. The platform can be extended to other test formats and assessment types. System is a valuable tool for standardizing data collection in Second Language Acquisition (SLA) and Intelligent Computer Assisted Language Learning (ICALL) research as well as serving as an application for classroom assessment. In this paper, we present the design of the system and a preliminary evaluation of LLMs for generating language errors in EIT items. We conclude with a future outlook as well as limitations.