Course Evaluation

Course evaluation research focuses on improving the collection, analysis, and utilization of student feedback to enhance teaching practices. Current research emphasizes leveraging machine learning, particularly natural language processing (NLP) and large language models (LLMs), to automate the summarization of large volumes of student feedback, identify biases in evaluations, and generate actionable insights for instructors. This work aims to provide educators with more efficient and effective tools for understanding student perspectives, ultimately leading to improved teaching quality and student learning outcomes.