Ensuring the model doesn't penalize non-traditional but effective teaching methods. 6. Conclusion
To design an automated evaluation model that predicts teaching effectiveness and identifies areas for improvement. 2. Literature Review Evolution of Teaching Quality Assurance (TQA) in China. Application of Big Data and AI in educational technology. the system provides a more scientific
Traditional foreign language teaching evaluation relies heavily on subjective student surveys and manual peer reviews, which often lack real-time accuracy and objectivity. This paper proposes a modern evaluation framework that utilizes machine learning (ML) to analyze multi-dimensional data—including classroom interaction, student performance, and sentiment analysis. By applying algorithms such as Random Forest and Support Vector Machines (SVM), the system provides a more scientific, data-driven approach to improving pedagogical outcomes in higher education. the system provides a more scientific
showing how a dean or professor would see the "Teaching Quality Score." the system provides a more scientific