Cloud Technologies in Education (CTE) is a peer-reviewed international Computer Science workshop focusing on research advances, applications of cloud technology in education.

The Workshop occupies contributions in all aspects of educational technologies and cloud-based learning tools, platforms, paradigms and models, functioning programmes or papers relevant to modern engineering and technological decisions in the IT age. There is urgent general need for principled changes in education elicited by current e-learning tools, services and IT communication. Let’s to come, show your best practice, and envisage your future actions at the front line of high-tech education.

Topics of interest

1. Cloud-Powered Learning Platforms & Infrastructure
Next-Generation Adaptive Cloud Learning Platforms
Scalable and Secure Cloud-Based E-Learning Environments
Edge Computing for Faster and Smarter Educational Applications
AI-Driven Personalization in Cloud Learning
2. Emerging Technologies in Cloud Education
Blockchain for Secure and Transparent Digital Credentials
AI and Machine Learning for Intelligent Cloud Education Systems
Emotion AI and Sentiment Analysis in E-Learning
Immersive Technologies (VR/AR) for Cloud-Based Interactive Education
3. Data-Driven Educational Insights
Educational Data Mining & Learning Analytics in the Cloud
Social Learning Analytics: Tracking Engagement and Performance
Privacy, Ethics, and Cybersecurity in Cloud-Based Learning
Federated Learning and Distributed AI in Education
4. Digital Transformation of Education
Competency-Based & Outcome-Driven Cloud Learning Models
Smart Campus Technologies and IoT in Cloud Education
Mobile and Microlearning in Cloud Ecosystems
Gamification and Adaptive Learning in the Cloud
5. Collaboration, Accessibility & Inclusion
Cloud-Powered Remote Learning & Virtual Classrooms
Cloud-Based Assistive Technologies for Inclusive Education
Open Educational Resources (OER) and Cloud-Based Content Delivery
Hybrid & Blended Learning Models Using Cloud Infrastructure

Authors are invited to submit full (at least 10 pages) papers through the HotCRP
(https://notso.easyscience.education/cte/2024/) by April 10, 2025.

Submitted papers will be peer-reviewed by two scholars on the basis of technical quality, relevance, originality, significance, and clarity. If necessary, a third, additional reviewer will be involved. The Program Committee will use these reviews to determine which papers will be accepted for presentation at the workshop. The result of the reviewing will be announced to the submitting authors by email, along with reviewer comments, if any.