Introducing Artificial Intelligence into Vocational Curriculum Evaluation: Empirical Examination and Model Construction

• In Event: AERA Roundtable Session Wednesday 1:45 pm - Gold 3
  In Roundtable Session: Integrating Artificial Intelligence in Teaching and Learning

Abstract

This study examines AI integration into curriculum assessment within Chinese vocational education. Using mixed methods (surveys and interviews across four institutions), it identifies educator/student optimism about AI's objectivity alongside concerns over transparency and adaptability. Based on these findings, the researchers develop a "Human-AI Collaborative Evaluation Model" prioritizing alignment, adaptability, and interpretability. Pilot testing with real classroom cases demonstrated the model improved assessment reliability and student engagement without compromising pedagogical sensitivity. Grounded in educational measurement and human-AI interaction theory, the study contributes a localized, ethical framework. It concludes AI should extend and refine human judgment through dynamic collaboration, not replace it, offering insights for curriculum designers, policymakers, and technologists

Author

• Tianjian WANG, Guangzhou University