Research and Practice on Teaching Quality Evaluation System in Vocational Colleges in the Age of Artificial Intelligence: Taking the Electromechanical Integration Professional Group as an Example

DOI: https://doi.org/10.62517/jes.202602121

Author(s)

Juhua Chen

Affiliation(s)

Chongqing Industry and Trade Polytechnic, Chongqing, China

Abstract

The development of artificial intelligence technology and the acceleration of industrial upgrading, higher requirements have been put forward for the quality of talent cultivation in vocational colleges, the traditional teaching quality evaluation system faces challenges such as a single evaluation subject, lagging content, and static methods. This study takes the electromechanical integration technology professional group as an example, a new teaching quality evaluation system based on "student-centered, collaborative across all parties, and data-driven" has been established. This system innovatively integrates a multi-party collaborative evaluation mechanism involving "public authorities, university, enterprise, and industry", reconstruction of competency-based evaluation criteria based on typical work tasks, and an intelligent evaluation data ecosystem of "monitoring-diagnosis-optimization". Through practice, an evaluation scheme has been established, where practical assessment accounts for no less than 50% and enterprise evaluation weighs 40%, the evaluation paradigm has shifted from an empirical to a scientific one, it provides an operable path and case for empowering AI in the reform of vocational education teaching quality evaluation.

Keywords

Artificial Intelligence; Vocational College; Teaching Quality Evaluation; Mechatronics; Data-Driven

References

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