The integration of Communicative Language Testing(CLT)principles with AI-driven automated assessment poses a significant challenge in professional language testing.Addressing this issue within the specific context of ...The integration of Communicative Language Testing(CLT)principles with AI-driven automated assessment poses a significant challenge in professional language testing.Addressing this issue within the specific context of Civil Aviation Ground Service English,this study explores pathways for their logical reconciliation.Through conceptual analysis and theoretical deduction,with a focus on human-AI interaction scenarios,we demonstrate that the synergy between CLT and AI stems from a shared focus on competency measurement.Key findings reveal that:(1)standardized competency dimensions in CLT can be operationalized into data-processable formats for AI;(2)within professional contexts,AI algorithms can be tailored using authentic service corpora to meet CLT’s demand for situational authenticity;and(3)a division of labor based on competency level-where AI handles standardized scoring of lower-order competencies and human-AI collaboration assesses higher-order competencies-effectively resolves the tension between CLT’s dynamic communication and AI’s static algorithms.Ultimately,the study constructs a three-dimensional integration framework encompassing“professional register,”“competency level,”and“human-AI division of labor,”offering a theoretical model for CLT-AI integration and a practical blueprint for innovating Civil Aviation Ground Service English assessment.展开更多
基金supported by the Vocational Education Research Project from China Commercial Technicians Association:“Research on the Construction and Application of AI-Enabled English Testing System for Civil Aviation Ground Services”(20ZSJYB20250420)the Education Science Planning Projects(Higher Education Special Program)from Guangdong Provincial Department of Education:“Research on the Evaluation System of Digital Competence in Curriculum Ideology and Politics for Higher Vocational Teachers in Guangdong under the Background of Educational Digitalization”(2024GXJK877)“Digital Empowerment for High-Quality Development in Guangdong:An Innovative Study on Cultivating Interdisciplinary Foreign Language Talents”(2023GXJK691).
文摘The integration of Communicative Language Testing(CLT)principles with AI-driven automated assessment poses a significant challenge in professional language testing.Addressing this issue within the specific context of Civil Aviation Ground Service English,this study explores pathways for their logical reconciliation.Through conceptual analysis and theoretical deduction,with a focus on human-AI interaction scenarios,we demonstrate that the synergy between CLT and AI stems from a shared focus on competency measurement.Key findings reveal that:(1)standardized competency dimensions in CLT can be operationalized into data-processable formats for AI;(2)within professional contexts,AI algorithms can be tailored using authentic service corpora to meet CLT’s demand for situational authenticity;and(3)a division of labor based on competency level-where AI handles standardized scoring of lower-order competencies and human-AI collaboration assesses higher-order competencies-effectively resolves the tension between CLT’s dynamic communication and AI’s static algorithms.Ultimately,the study constructs a three-dimensional integration framework encompassing“professional register,”“competency level,”and“human-AI division of labor,”offering a theoretical model for CLT-AI integration and a practical blueprint for innovating Civil Aviation Ground Service English assessment.
