Proceedings of 2025 11th International Conference on e-Society, e-Learning and e-Technologies

ICSLT 2025, Florence, Italy
Erscheinungsjahr 2026
ISBN: 978-3-032-13152-2
Verlag: Springer

Buch, Englisch, Band 1754, 352 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 557 g

Reihe: Lecture Notes in Networks and Systems

This book gathers selected and peer reviewed papers from 2025 11th International Conference on e-Society, e-Learning and e-Technologies, held in Florence, Italy during June 20-22, 2025. The aim of the conference is for the scientists, scholars, engineers, and students from institutions around the world and industries to present ongoing research outcomes and activities, to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. The book provides recent research findings and innovative research results on e-education, distance Learning, web-based learning, e-business, e-government, learning System, e-commerce, economic system, e-payment system, social system, multi-agent system, Intelligent computing techniques.

Zielgruppe

Research

Autoren/Hrsg.

Yu, Hui

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1. PrograBot: An Interactive Robotics Kit to Boost Programming Skills.- 2. Expanding Online Education at Academic Institutions by Incorporating AI and IoT.- 3. Empowering University AI Assistants: Improving LLM Performance with RAG and Self-Evaluation.- 4. University students’ perceptions of artificial intelligence based tools beyond text generation.- 5. Enhancing Food Science and Technology Education through AI: An Investigation of Critical Success Factors.

Über Autor(innen)

Hui Yu is a Professor with the University of Glasgow. He leads the Visual and Cognitive Computing Group at the university. His research interests lie in visual and cognitive computing as well as machine learning with applications to 4D facial expression modelling and analysis, human-machine interaction, intelligent vehicle, and video analysis. Professor Yu’s research work has led to several awards and successful collaboration with worldwide institutions and industries. He is the Associate Vice President of IEEE Systems, Man, and Cybernetics Society and a Scientific Advisor for some high-tech companies in the UK. Prof. Yu is the PI on grants from a diverse range of funding sources including the EPSRC, EU FP7, RAEng, Royal Society, Innovate UK and Industry. He has been awarded Industrial Fellowship by the Royal Academy of Engineering. He serves as an Associated Editor for IEEE Transactions on Human-Machine Systems, IEEE Transactions on Computational Social Systems, IEEE Transactions on Intelligent Vehicles and IEEE/CAA Journal of Automatica Sinica.