|
T1: Intelligent Algorithms and Models for Education
Deep Learning
Machine Learning
Natural Language Processing
Speech/Audio Processing
Large Language Models in Education
Cloud Computing in Education
Affective Computing in Education
Educational Data Mining
Learning Resources Retrieval
Models of Learners
Learning with Simulations
Models of Teaching
Ontological modelling
|
T2: Cognitive Science and Intelligent Technologies for Education
Brain Modeling
Cognitive Systems
Behavioral Dynamic Mechanisms
Educational Software and Hardware
Open Source Educational Technologies
Digital Libraries and Repositories
Personalized Teaching System
Educational Multimedia
Generative AI in Education
Intelligent Tutoring
Multi-gent Architectures
Human-AI Interaction in Education
Tangible Interfaces
Wearables
Virtual / Augmented Reality
|
| T3: Intelligent Technologies for Learning Analysis and Evaluation
Learning Analytics
Learning Early Warning
Learning Intervention
Multivariate and Multimodal Learning Assessment
Learner Engagement Quantification & Analysis
Digital Attendance Tracking
Collaborative Learning Analytics
Computer-Aided Assessment
Digital Evaluation
Expert Systems
Automated Grading Systems
Learning Evaluation Systems
Curriculum Evaluation System
Performance Prediction
|
T4: Innovative Technologies for Digital and Distance Learning
E-Learning Education System and Platforms
E-Testing
Blended Learning
Virtual Learning Environments
Mobile Learning
Distance Learning System
Flipped Classroom
Web Classroom Applications
Online/ Virtual Laboratories
Collaboration and Communication Software |
