Research on the Construction of an Intelligent Teaching Ecosystem for the "Introduction to Artificial Intelligence" Course Based on Maritime Characteristics
DOI:
https://doi.org/10.54097/etkkm495Keywords:
Vocational Education, Introduction to Artificial Intelligence, Intelligent Teaching Ecosystem, Maritime Characteristics, Value-Added EvaluationAbstract
Under the broader context of the country's comprehensive advancement of the "Artificial Intelligence+" action and the digital transformation of vocational education, deeply integrating universal artificial intelligence technologies with industry-specific vertical scenarios has become the core task of AI general education course reform in higher vocational institutions. Set against the pedagogical practice of general education, this paper addresses the core pain points of higher vocational students, including a weak foundation in information technology, a lack of cross-disciplinary integration awareness, and the existence of a "cognitive black box" in AI applications. Accordingly, it explores and constructs an intelligent teaching ecosystem for the Introduction to Artificial Intelligence course based on maritime characteristics. This ecosystem utilizes the Chaoxing platform as its digital pedagogical foundation and features customized, industry-specific vertical large language model agents as its core drivers, establishing an innovative closed-loop driving mode of "intelligent teaching assistant + AI scenario generation + dynamic learning situation evaluation." In terms of instructional implementation, the course reconstructs a modularized teaching content framework characterized by a "four-layer progression and scenario-driven" approach, and deploys an innovative classroom teaching model of "five-step progression and six-in-one integration." Concurrently, relying on a cloud-based AI intelligent learning system, a multi-dimensional evaluation system has been established to synthesize formative evaluation, summative evaluation, and personalized value-added evaluation. Practical implementation demonstrates that this ecosystem significantly enhances students' three-dimensional target achievement, practical operational capability with AI tools, and cross-disciplinary innovative literacy tailored to the smart shipping sector. Ultimately, it provides a reproducible and generalizable standardized implementation path for AI-empowered classroom teaching reforms in similar vocational colleges.
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