3 accepted papers
Automatic speech recognition (ASR) systems have a wide range of applications in classroom analysis. However, due to the unique structure of classroom dialogue, existing ASR systems often struggle to accurately recognize and organize spoken utterances, creating significant challenges for downstream t…
As the demand for precision, efficiency, and low-cost solutions in educational classification tasks continues to grow, enhancing model performance has become a critical focus of research. While large language models excel in these tasks, their high cost and resource requirements limit widespread app…
Large Language Models (LLMs) are increasingly being applied in education, showing significant potential in personalized instruction, student feedback, and intelligent tutoring. Generating hints for Math Word Problems (MWPs) has become a critical application, particularly in helping students understa…