高职教师数智化教学能力体系:向度、瓶颈与进路OACHSSCD

The deep integration of artificial intelligence technology and vocational education is profoundly reshaping the teaching scenarios and para-digms of higher vocational education,posing new challenges and requirements for teachers'core competencies and teaching abilities.Based on a review of relevant research,this study provides an in-depth analysis of the connotation of digital-intelligence teaching abilities and develops a competency model consisting of four dimensions:conceptual understanding of digital-intelligence education and teaching,digital-intelligence technology integration,inter-disciplinary digital-intelligence integration and innovation,and personalized digital-intelligence assessment.It further examines the underlying mecha-nisms of this model and identifies four major bottlenecks hindering the reconstruction of vocational teachers'teaching competence:misconceptions about digital-intelligence teaching concepts and role cognition,insufficient capacity for integrating and innovating digital-intelligence technologies in teaching,inadequate interdisciplinary integration between digital technologies and professional fields,and limited approaches to personalized assessment.To address these challenges,the study proposes four enhancement strategies:adhering to the original mission of vocational education and developing the intelligent education philosophy;strengthening technological integration capabilities to promote teaching innovation;breaking disciplinary and professional boundaries to develop an"AI+discipline"integration capacity;and leveraging the value of educational data to support personalized and precise assessment and guid-ance.These strategies provide theoretical insights and practical pathways for the professional development of higher vocational college teachers.