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
When a passenger travels on an airplane of the China Northwest Aviation Company on scheduled flights from Xi’an—Beijing—Guangzhou—Beijing—Xi’an, he or she just sits in the seat, a hostess Providee a hot and wet ...When a passenger travels on an airplane of the China Northwest Aviation Company on scheduled flights from Xi’an—Beijing—Guangzhou—Beijing—Xi’an, he or she just sits in the seat, a hostess Providee a hot and wet towel to clean the face and hands. On watching TV, if he wants to listen to the sound, he can pick up the earphone in the right arm of the seat. If he wants to take展开更多
In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,...In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,we propose to introduce the idea of ontology modeling and reasoning into competitive intelligence system building in this paper.We first present the building principles and methods of the civil aviation customer service ontology.We then define the classes and properties to contribute a real-world civil aviation customer service ontology,which is published on the Web(http:/www.openkg.cn/dataset/cacso).We finally design SWRL rules corresponding to different intelligence analysis targets to support reasoning in our designed competitive intelligence system.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.
文摘When a passenger travels on an airplane of the China Northwest Aviation Company on scheduled flights from Xi’an—Beijing—Guangzhou—Beijing—Xi’an, he or she just sits in the seat, a hostess Providee a hot and wet towel to clean the face and hands. On watching TV, if he wants to listen to the sound, he can pick up the earphone in the right arm of the seat. If he wants to take
基金the National Natural Science Foundation of China(Grant No.U21B6001,62006040,62376058,U21A20488)the Fundamental Research Funds for the Central Universities,and ZhiShan Young Scholar Program of Southeast University.We thank the Big Data Computing Center of Southeast University for providing the facility support on the numerical calculations in this paper.
文摘In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,we propose to introduce the idea of ontology modeling and reasoning into competitive intelligence system building in this paper.We first present the building principles and methods of the civil aviation customer service ontology.We then define the classes and properties to contribute a real-world civil aviation customer service ontology,which is published on the Web(http:/www.openkg.cn/dataset/cacso).We finally design SWRL rules corresponding to different intelligence analysis targets to support reasoning in our designed competitive intelligence system.
