Yonggu Wang

You are already at the latest version The Question Generation System (QGS) for Information Technology (IT) education, designed to create, evaluate, and improve Multiple-Choice Questions (MCQs) using Knowledge graphs (KGs) and Large Language Models (LLMs), encounters three major needs: ensuring the generation of contextually relevant and accurate distractors, enhancing the diversity of generated questions, and balancing the higher-order thinking of questions to match various learning levels.

7. Discussion and Analysis 7.1. CvT Model Incorporating Convolution Exhibits Excellent Performance in Facial Expression Recognition The results in Table 7 clearly demonstrate that the CvT model (79.12%) significantly outperforms the ViT model (48%) in facial expression recognition for children with autism.

Submitted: 19 February 2025 You are already at the latest version With advances in digital technology, including deep learning and big data analytics, new methods have been developed for autism diagnosis and intervention. Emotion recognition and the detection of autism in children are prominent subjects in autism research.