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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
l Learning with Simulations
Models of Teaching
Ontological modelling
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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
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| 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
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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
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