International Congress on AI and Educational Technology: Innovations & Challenges on August 11-13, 2025 in Barcelona, Spain

Call for papers/Topics

Here are some broad topics on "AI and Educational Technology: Innovations & Challenges":

I. AI-Powered Learning and Teaching:

Personalized Learning and Adaptive Systems:

AI-driven adaptive learning platforms and their effectiveness.

Individualized learning pathways and content curation using AI.

AI for personalized feedback and assessment strategies.

The use of learning analytics to individualize learning.

Intelligent Tutoring Systems (ITS):

Development and evaluation of AI tutors for specific subjects and skills.

Natural language processing (NLP) for interactive and conversational tutoring.

AI for real-time student support and scaffolding.

Affective computing in ITS for emotional support.

AI for Content Creation and Curation:

AI-generated educational resources (text, video, simulations, etc.).

Automated content curation and organization for educators.

AI for creating accessible and inclusive educational materials.

Using AI to create Open Educational Resources (OER).

AI in Assessment and Evaluation:

Automated grading and feedback systems using AI.

AI-powered plagiarism detection and academic integrity.

Using AI for predictive analytics of student performance and early intervention.

AI for formative and summative assessment.

AI for alternative assessments.

II. Emerging Technologies and Applications:

Virtual and Augmented Reality (VR/AR) with AI:

AI-enhanced VR/AR learning experiences and simulations.

AI for creating immersive and interactive learning environments.

The use of AI to analyze student interaction in VR/AR.

AI and Gamification in Education:

AI-driven game design for educational purposes.

Personalized gamified learning experiences and adaptive challenges.

The use of AI to analyze player data, and adjust game difficulty.

AI and Learning Analytics:

Data mining and analysis of student learning data to identify patterns.

Using AI to identify learning trends and predict student outcomes.

Ethical considerations and privacy concerns in learning analytics.

Natural Language Processing (NLP) in Education:

AI-powered chatbots for student support and Q&A.

NLP for analyzing student writing and providing feedback on language skills.

AI for translation services and multilingual education.

Voice recognition and it's effect on education.

AI and Robotics in Education:

The use of educational robots to teach coding, and other skills.

The use of AI to control educational robots.

III. Challenges and Ethical Considerations:

Equity and Accessibility:

Addressing the digital divide and ensuring equitable access to AI education.

Developing AI tools that are accessible to all learners, including those with disabilities.

Addressing bias in AI algorithms and its impact on diverse student populations.

Data Privacy and Security:

Protecting student data and ensuring privacy in AI-driven education systems.

Ethical considerations in the collection, storage, and use of student data.

Cybersecurity in educational institutions using AI.

The Role of the Teacher in an AI-Enabled Classroom:

Preparing teachers for AI-integrated teaching and learning.

The changing role of educators in the age of AI and automation.

Maintaining the human element in education and fostering student-teacher relationships.

Teacher training for new AI tools.

Ethical Implications of AI in Education:

The potential for AI to create dependency and limit critical thinking skills.

The impact of AI on creativity and innovation in education.

The future of educational work and the potential for job displacement.

The ethical development of AI for education.

IV. Innovations in Educational Administration and Institutional Management:

AI for Administrative Tasks:

Automating scheduling, resource management, and administrative processes.

AI for student enrollment, admissions, and financial aid.

AI for Institutional Research and Decision-Making:

Using AI to analyze institutional data and improve decision-making.

AI for predicting student retention and graduation rates.

AI for resource allocation.

AI for Library and Information Services:

The use of AI to enhance library search functions.

The use of AI to categorize and organize information

Name: FAHSS
Website: http://fahss.org