3 accepted papers
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…
Faced with abundant online course resources, learners struggle to choose suitable materials. Learning resource recommendation algorithms can help address this. Rich online learning behavior data enables such recommendations. However, existing research only uses behavior events as learner features, i…