Conference Description:

The idea of 45th BARCELONA International Congress on “AI and Educational Technology: Innovations & Challenges” (AIET-25) scheduled on Aug. 11-13, 2025 Barcelona (Spain) is for the researchers, scientists, scholars, engineers and parctitioners from all around the world to present and share ongoing research activities. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.
AIET-25 is sponsored by Excellence in Research & Innovation (EIRAI).

Presentation Options:

Oral Presentation at Conference Venue (in Physical Presence)
Poster Presentation at Conference Venue (in Physical Presence)
ONLINE (video presentation with WhatsApp/viber/Skype)
OFFLINE (creating PowerPoint presentation without/with recorded voice for conference participants)
All full paper submissions will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. One Best Presenation Award from each session will also be distributed at the time of the conference.

All registered papers will be online at ISBN DOI Indexed Conference Proceedings OR DOI-Crossref Indexed ISSN journals.

OPTIONAL: All registered papers can be published online in the SCOPUS / ESCI WoS Indexed Journal with additional charges

The proceedings will be indexed at all major search engines.
All full paper submissions will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. One Best Presenation Award from each session will also be distributed at the time of the conference.

All accepted papers of AIET-25 will be published in the printed conference proceedings with valid International ISBN number. Each Paper will be assigned unique Digital Object Identifier (DOI) from CROSSREF and the Proceedings of the Conference will be archived in EIRAI's Engineering & Technology Digital Library.

English is the official language of the conference. We welcome paper submissions. Prospective authors are invited to submit full (and original research) papers (which is NOT submitted or published or under consideration anywhere in other conferences/journal) in electronic (DOC or PDF) format alongwith the contact information.
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