Exploration and Practice of AI Application-oriented Talent Training Model Based on OBE Concept

With the acceleration of digital transformation, Artificial Intelligence (AI) has become a key technology to promote social progress. This paper proposes a set of teaching reform strategies based on the concept of Outcome-Based Education (OBE) for talent cultivation in the field of Artificial Intelligence. This study was implemented in the School of Electronics and Computer Science, Southeast University Chengxian College, aiming to cultivate AI application talents with solid theoretical foundation, proficient technical application ability and good professional quality through teaching reform. The reform strategies include the construction and optimization of the curriculum system, the reorganization and innovation of teaching content, the diversified application of teaching methods, the in-depth practice of project-driven teaching, and the exploration of online and offline hybrid teaching models. Special emphasis is placed on case and project driven teaching methods to realize the OBE concept and promote the development of students' practical skills and innovative thinking. Moreover, this paper also explores the reform of the teaching evaluation system and establishes a multi-dimensional and process-based evaluation system to comprehensively examine students' learning outcomes. The reform results show that students have significantly improved in course learning, academic competitions, college students’ innovation and entrepreneurship training program, and the quality of graduation design, and students' comprehensive literacy has been comprehensively developed. The teaching reform practice of this study provides new ideas and methods for application-oriented talent cultivation in the field of artificial intelligence. It is expected to provide more high-quality application-oriented talents for the industry and provide a reference for education reform.