Información de la conferencia

ICSLT 2026: International Conference on e-Society, e-Learning and e-Technologies

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Día de Entrega:
2026-05-05 Extended
Fecha de Notificación:
2026-05-20
Fecha de conferencia:
2026-06-16
Ubicación:
Milan, Italy
Ediciones:
12
Vistas: 6052   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

ICSLT 2026 (International Conference on e-Society, e-Learning and e-Technologies) is an academic conference held in Milan, Italy on 2026-06-16. The paper submission deadline is 2026-05-05 (extended). Acceptance notifications are sent on 2026-05-20.

Prospective authors are invited to submit technical papers of their previously unpublished work. Areas of interest for the technical program include but are not limited to: e-Education and e-Learning e-Accessibility Accessibility to Disabled Users ICT and Dyslexic Students Digital classrooms Digital Libraries Distance Learning Web-based learning Blended learning Collaborative Learning Environments Learning Management Systems Mobile Applications and Learning Course design Partnerships in e-Learning Evaluation of e-Learning e-Learning strategies Social benefits of e-Learning e-Learning effectiveness and outcomes Learner autonomy Computer-aided Instruction Applications and Practices of e-Education Artificial Intelligence in Education Intelligent Tutoring Systems Social Networks e-Business and e-Government B2B, B2C, and C2C models Mobile and pervasive commerce e-Marketplaces, e-Hubs, and portals Pervasive technologies for eCommerce Business/Enterprise Architectures P2P-computing for e-Commerce e-Payment systems e-Commerce content management Consumer protection in eCommerce Electronic Markets and Multiagent Systems e-Negotiations, auctioning and contracting Business informatization Knowledge management Agent-mediated e-Commerce Digital goods and products Dynamic pricing models User behavior modeling G2G, G2B and G2C models Electronic document system E-procurement and bidding E-Taxation E-Signature Mobile Technology and Web Services Search Planning Reasoning Knowledge representation Natural language processing Robotics and perception Multi-agent systems Statistical learning Deep learning Soft Computing Intelligent computing techniques Any other AI techniques and their applications
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