Keywords
Ideological and Political Education
IPE
Vocational education
Submitted : 2025-06-04
Accepted : 2025-06-19
Published : 2025-07-04
Abstract
As the core pathway for cultivating high-quality technical talents, vocational education has shifted its educational objectives from imparting singular technical skills to cultivating comprehensive qualities. Ideological and Political Education (IPE), serving as the critical mechanism for this transformation, faces practical challenges such as low efficiency in case development and inadequate alignment with professional course content. Leveraging artificial intelligence (AI) technologies, this study constructs an efficient pathway for constructing an IPE case database. Firstly, a localized PC client was developed to enable API communication with Alibaba Cloud’s Qwen model. Secondly, the Qwen large language model (LLM) underwent pre-training for IPE case generation. Thirdly, multi-dimensional feature annotation was implemented. Finally, pedagogical application validation was conducted. Empirical evidence demonstrates that AI enables teachers to generate cases rapidly and precisely, significantly reducing their workload. Furthermore, AI-generated cases have received high recognition from students in terms of engagement and intellectual stimulation.
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