ConfRoll: all your international conferences directory and alerts at just one click

Key deadlines

Conference starts:

2025-11-24

Website

Visit the conference website

Conference Description

Topics of Interest for Submission include, but are Not Limited to:

A) AI-Powered Learning and Teaching:
Personalized Learning:
AI-driven adaptive learning platforms.
Individualized learning pathways and content curation.
AI for personalized feedback and assessment.
Intelligent Tutoring Systems:
AI tutors for specific subjects and skills.
Natural language processing for interactive tutoring.
AI for real-time student support.
AI for Content Creation and Curation:
AI-generated educational resources (text, video, simulations).
Automated content curation and organization.
AI for creating accessible educational materials.
AI in Assessment and Evaluation:
Automated grading and feedback systems.
AI-powered plagiarism detection.
Using AI for predictive analytics of student performance.
B) Emerging Technologies and Applications:
Virtual and Augmented Reality (VR/AR) with AI:
AI-enhanced VR/AR learning experiences.
AI for creating immersive and interactive simulations.
AI and Gamification in Education:
AI-driven game design for educational purposes.
Personalized gamified learning experiences.
AI and Learning Analytics:
Data mining and analysis of student learning data.
Using AI to identify learning patterns and trends.
Ethical considerations in learning analytics.
Natural Language Processing (NLP) in Education:
AI-powered chatbots for student support.
NLP for analyzing student writing and providing feedback.
AI for translation services in educational settings.
C) Challenges and Ethical Considerations:
Equity and Accessibility:
Addressing the digital divide in AI education.
Ensuring AI tools are accessible to all learners, including those with disabilities.
Bias in AI algorithms and it's effect on learners.
Data Privacy and Security:
Protecting student data in AI-driven education systems.
Ethical considerations in the collection and use of student data.
The Role of the Teacher in an AI-Enabled Classroom:
Preparing teachers for AI-integrated teaching.
The changing role of educators in the age of AI.
Maintaining the human element in education.
Ethical Implications of AI in Education:
The potential for AI to create dependency.
The impacts of AI on critical thinking skills.
The future of educational work.
D) Innovations in Educational Administration:
AI for administrative tasks:
Automating scheduling and resource management.
AI for student enrollment and admissions.
AI for institutional research:
Using AI to analyze institutional data and improve decision-making.