Conference Information

ICIEI 2027: International Conference on Information and Education Innovations

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Submission Date:
2027-02-05 Due in 96 days
Notification Date:
2027-03-05
Conference Date:
2027-07-11
Location:
Paris, France
Years:
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Conference Partner Index (CP-I)

50.2 / 100
Ranked #1,646 of 5,764 conferences · Top 29%

#31 of 142 in Education & Learning Technology

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
67
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 11 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-11-01

Call For Papers

ICIEI 2027 (International Conference on Information and Education Innovations) is an academic conference held in Paris, France on 2027-07-11. The paper submission deadline is 2027-02-05. Acceptance notifications are sent on 2027-03-05.

Topics are interested but not limited to: Artificial Intelligence & Intelligent Information Technologies Generative AI and Large Language Models (LLMs) Lightweight and Domain-Specific AI Models Retrieval-Augmented Generation (RAG) and Knowledge-Enhanced AI Explainable, Trustworthy, and Responsible AI AI Hallucination Detection and Content Verification Federated Learning and Privacy-Preserving AI AI-Generated Content for Education and Research AI-Assisted Programming and Intelligent Software Development Neuromorphic Computing and Emerging Computing Architectures AI-Driven Optimization and Intelligent Computing Systems Emerging Technologies & Human-Computer Interaction Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) for Education Immersive and Multisensory Learning Environments Human-AI Interaction and Collaborative Intelligence Brain-Computer Interfaces and Neuroadaptive Learning Digital Twins and Virtual Laboratories 3D Reconstruction and Interactive Visualization Intelligent Robotics and Educational Robotics Internet of Things (IoT) and Smart Learning Environments Generative AI for Interactive and Immersive Experiences Information Systems, Networks & Digital Infrastructure AI-Enabled Information Systems and Digital Platforms Edge-Cloud Computing and Intelligent Service Architectures Next-Generation Networks for Digital Learning Semantic Communication and Intelligent Networking Cloud Computing for Education and Research Microservices and Distributed Computing Systems Open-Source Technologies and Digital Ecosystems Intelligent Automation and Robotics-as-a-Service Digital Transformation of Information and Education Systems Educational Technology & Innovative Learning AI-Powered Teaching and Learning Systems Intelligent Tutoring Systems and AI Learning Assistants Personalized and Adaptive Learning Technologies Automated Assessment and Intelligent Feedback Generative AI in Teaching, Learning, and Curriculum Design AI Literacy and Digital Competency Development Online, Blended, and Hybrid Learning Virtual Laboratories and Remote Experiments Learning Design and Technology-Enhanced Pedagogy AI-Enhanced STEM and Engineering Education Digital Transformation in Higher Education Educational Innovation, Accessibility, and Inclusive Learning Human-AI Collaboration and the Future of Education Academic Integrity, AI Ethics, and Responsible AI in Education Data Science, Learning Analytics & Knowledge Management Learning Analytics and Educational Data Mining Multimodal Learning Analytics and Behavioral Analysis AI-Driven Learning Assessment and Performance Prediction Early Identification of Learning Difficulties and Personalized Intervention Knowledge Graphs and Intelligent Knowledge Management Multimodal Information Retrieval and Semantic Search Big Data Analytics for Education and Research Data-Driven Decision-Making in Education Privacy-Preserving Data Analytics Blockchain and Digital Credentials for Academic Integrity Synthetic Data Generation and Data Quality Assessment Information Credibility, Misinformation Detection, and Digital Trust
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