工业技术与职业教育

人工智能的迅猛发展正引发教育领域的认知变革，以DeepSeek为代表的生成式人工智能在优化高职教学模式的同时，也带来认知偏差、创造性受限及学生主观能动性下降等风险。针对上述风险，基于COM-B行为模型(能力、机会、动机行为)提出多维解决路径，包括：通过培养批判性思维与跨学科整合来增强学生能力；借助立体化协同与个性化学习引导提供学习机会；结合技术赋能与层次化调控激发学习动机的手段。通过这些策略，平衡技术赋能与教育本质，构建新型教育生态。

The rapid development of artificial intelligence is triggering a cognitive transformation in the field of education.Generative artificial intelligence,represented by DeepSeek,while optimizing vocational college teaching models,also brings risks such as cognitive biases,restricted creativity,and diminished students' subjective initiative.In view of the above risks,this study proposes a multi-dimensional solution path based on the COM-B behavioral model (ability,opportunity,motivation-behavior).It proposes to enhance students' abilities through the cultivation of critical thinking and interdisciplinary integration,provides learning opportunities with the help of three-dimensional collaboration and personalized learning guidance and measures to stimulate intrinsic learning motivation by integrating technological empowerment and hierarchical regulation.Through these strategies,we can balance technological empowerment with the essence of education and build a new educational ecosystem.