Presentation Information
[W-06]Evaluating Lexical Development and Global Competence in International Engineering StudentsA Pre-AI Comparative Analysis
○Hatsuko Yoshikubo1, Ahmet Cetinkaya1, Gabriele Trovato1, Peeraya Sripian1, Eiji Kamioka1 (1. Shibaura Institute of Technology, College of Engineering)
Keywords:
Lexical Development,Global Competence,English as a Medium of Instruction (EMI),CVLA and MGUDS-S Comparison,International Engineering Students in Japan
This study evaluates English-language lexical development among international engineering students using two versions of the CEFR-based Vocabulary Level Analyzer (CVLA 2.0 and 3.0), and examines its relationship to global competence. Data were drawn from a 14-week undergraduate EMI History course at Shibaura Institute of Technology in Tokyo (Fall 2022), with student writing completed before widespread generative AI use. CVLA 2.0 showed an increase in average CEFR-J scores from 4.955 (B2.2–C1) to 5.432 (C1–C2); CVLA 3.0 showed similar gains from 4.350 (B1–B2) to 5.230 (C1–C2). Global competence, measured by the MGUDS-S, rose from 66.18 to 70.37. This study underscores the value of assessing both constructs independently and contributes to EMI learner profiling and assessment tool validation.