Including but not limited to the following contents:
Track 1: Artificial Intelligence Empowering Language Teaching
Intelligent Tutoring Systems and Language Learning
Personalized Language Learning Path Recommendation
AI-Assisted Oral Training and Interaction
Generative AI and Language Course Design
Intelligent Writing Evaluation and Feedback
Adaptive Language Testing and Evaluation
Hybrid Language Teaching Model
AI-Driven Immersive Language Learning
Track 2: Language Learning Analysis and Data-Driven Research
Learning Behavior Data Analysis
Language Learning Effect Prediction Modeling
Multimodal Corpus Construction and Application
Educational Data Mining and Text Mining
Student Profiles and Cognitive Diagnosis
Language Learning Emotional Computing
Learning Analysis-Driven Teaching Intervention
Semantic Web and Language Knowledge Engineering
Track 3: Integration of Intelligent Technologies and Language Education
Large Language Models and Language Teaching
Natural Language Processing in Education Applications
Virtual Reality/Augmented Reality Language Teaching
Human-Machine Collaboration and Language Learning Interaction
AI-Assisted Cross-Cultural Communication Ability Cultivation
Educational Robot Language Teaching Application
Digital Literacy and Teachers' AI Competence
AI Ethics and Language Education Equity