An Intelligent Biology Classroom Model Integrating Vocational Education Resource Banks for Skill Certification in Biotechnology Training

Qiao Li
Chongqing City Vocational College, Chongqing, 402160, China.

DOI:https://doi.org/10.5912/jcb1938

Abstract:

This study explores an innovative teaching model for biology education that integrates vocational training and skill certification, aligning with the needs of the biotechnology industry. The research focuses on the development and implementation of an "intelligent biology classroom" combining post-course competition and certificate-based teaching with vocational education resource banks. This approach emphasizes aligning biology curricula in higher vocational colleges with industry standards to enhance professional competency in biotechnology training. To actively promote the integration of vocational resource banks into biology education, this study introduces an intelligent teaching framework that leverages digital tools for resource management, curriculum delivery, and skill assessment. Empirical analysis was conducted to evaluate the effectiveness of this model in enhancing biology education outcomes. Results indicate that the resource bank-based teaching approach significantly outperformed traditional methods in metrics such as basic biological knowledge (85.1 ± 11.9), species analysis (23.1 ± 5.4), and experimental design (7.9 ± 1.6). Furthermore, attributes such as ecological civilization literacy, gender, class attributes, and home location demonstrated significant differences, with P-values less than 0, suggesting the comprehensive impact of this teaching model on student learning outcomes. By integrating vocational education resource banks with biology teaching, this model strengthens the connection between classroom learning and industry-relevant skills, promoting ecological literacy, critical thinking, and professional development. This approach not only enhances the quality of biology education but also prepares students for the demands of the biotechnology workforce, contributing to improved talent cultivation and social service capacity in higher vocational education. This research highlights the potential of combining intelligent classroom models and vocational resource banks to transform biology education, ensuring alignment with the evolving needs of the biotechnology sector and fostering innovation in educational practices.