International Conference On Artificial Intelligence in Smart Education
(ICAISE-2026)
Organized By:
D.S. College, Aligarh - 202001, Uttar Pradesh, India
Association With:
The Golden Bough Foundation Society
September 11–12th, 2026
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The research papers are invited in the following tracks and areas but are not limited to
Theme I: Artificial Intelligence and Personalized Learning
Adaptive learning systems and learner modeling
AI-driven content recommendation engines
Competency-based and mastery learning frameworks
Personalized curriculum design using AI
Learner engagement and motivation analytics
AI support for self-paced and lifelong learning
Theme II: Intelligent Tutoring Systems and Learning Support
AI-powered intelligent tutoring systems
Chatbots and virtual teaching assistants
Automated doubt resolution and mentoring systems
AI-supported feedback and scaffolding strategies
Human–AI collaboration in teaching
Effectiveness evaluation of tutoring systems
Theme III: Learning Analytics and Educational Data Mining
Student performance prediction models
Dropout risk analysis and early warning systems
Big data applications in education
Academic behavior and engagement analytics
Decision support systems for educators
Visualization and interpretation of learning data
Theme IV: Smart Classrooms and Intelligent Learning Environments
AI-enabled smart classroom technologies
Internet of Things (IoT) in education
Smart campus and institutional automation
Virtual and augmented reality for education
Context-aware and immersive learning environments
Infrastructure challenges and scalability issues
Theme V: Assessment, Evaluation, and Academic Integrity Using AI
Automated assessment and grading systems
AI-based formative and summative evaluation
Intelligent feedback and rubric generation
Plagiarism detection and academic integrity tools
Adaptive testing and examinations
Reliability and validity of AI-driven assessment
Theme VI: Ethical, Inclusive, and Policy Dimensions of AI in Education
Ethical frameworks for AI in education
Data privacy, security, and governance
Bias, fairness, and transparency in AI systems
AI for inclusive and accessible education
Teacher readiness and capacity building
National and international AI education policies