Research on the Development of a Digital Platform for Process-Oriented Teaching Evaluation in Vocational Colleges

In the context of ongoing industrial transformation and the rapid development of the digital economy, vocational education in China faces the critical task of enhancing educational quality, fostering professional excellence, and promoting value-added outcomes in skills development. Despite its strategic importance, current teaching evaluation systems in vocational colleges are frequently constrained by subjective assessment methods, limited evaluation dimensions, and insufficient integration of intelligent technologies. These limitations reduce the effectiveness of evaluating teaching processes and hinder the cultivation of high-quality technical and skilled talent needed to meet the evolving demands of modern industries. This study investigates the development of a digital platform for process-oriented teaching evaluation, leveraging advanced artificial intelligence technologies to improve objectivity, comprehensiveness, and adaptability. The research begins with a detailed analysis of the current state and prevailing challenges in teaching evaluation within vocational institutions, highlighting gaps in methodology, assessment criteria, and technology application. It then introduces the concept of process-oriented teaching, emphasizing the importance of evaluating teaching as a dynamic, continuous process rather than relying solely on static outcomes. Building on this foundation, a comprehensive digital evaluation index system is constructed to encompass both online and offline teaching activities, covering aspects such as instructional delivery, student engagement, interactive feedback, and practical skill application. A central component of the study is the design of a technical framework employing advanced visual recognition models, such as YOLOv11, to enable intelligent perception, real-time monitoring, and quantitative analysis of classroom teaching behaviors. The paper further discusses the potential benefits of such a digital evaluation system, including improved accuracy, enhanced feedback for educators, and support for evidence-based educational decision-making, while also addressing practical challenges related to system implementation, data privacy, and technological integration. By combining theoretical insights with practical application strategies, this research aims to provide guidance for the reform and digital transformation of teaching evaluation in vocational education, ultimately contributing to the development of a more effective, transparent, and innovation-driven educational environment.