<![CDATA[Aviation English proficiency is pivotal for aviation school students to ensure secure communication in global airspace per ICAO guidelines. Conventional methods are rigid, leading to inaccurate and time-consuming evaluations that hinder training efficacy. This research develops a web-based adaptive Aviation English proficiency test integrating adaptive algorithms like Item Response Theory and dynamic assessment to enhance aviation education outcomes. Using a mixed-methods framework with the ADDIE model and quantitative experimental approach, an explanatory sequential design with non-equivalent control group was employed, involving needs assessment, prototype development, validation, and implementation. The sample included 141 aviation school students. Data from pre/post-tests were analyzed via SPSS. The findings showed that i) the web-based test is valid and feasible as an assessment tool with a validation score of 89.5%; ii) student proficiency levels are significantly improved before and after using the adaptive system (paired t-test: mean rise from 72.6 to 91.4, t=-14.28, p=0.000 <0.05); iii) dynamic assessment positively impacts learning outcomes following implementation (32% uplift, ?=0.61, p<0.01); and iv) there is a significant difference between experimental and control groups in evaluation efficiency (independent t-test: 25% higher for experimental, t=10.52, p=0.000 <0.05). These affirm the test's efficacy, recommending broader adoption for refined aviation training.]]>
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