Dear colleagues,
We would like to invite you to submit a paper to the Special Track on Artificial Intelligence in Education of TECH-EDU 2024, to be held in Abu Dhabi, UAE, between September 13-15 2024 (https://tech-edu.ws/2024/).
Important Deadlines:
Paper submission: June 24, 2024
Notification of acceptance: July 29, 2024
Deadline for registration and camera ready papers: August 20, 2024
TECH-EDU 2024 conference: November 13-15, 2024
Submissions:
The Special Track on Artificial Intelligence in Education welcomes full length papers (of 12-15 pages including references and illustrations) reporting original research results and experiences, and short papers of up to 8 pages, reporting ongoing original work. Papers must be written in English according to the Springer CCIS formatting guidelines available at: https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines. Submissions in accessible PDF electronic format should be made through the TECH-EDU 2024 submission system.
The conference proceedings will be submitted for indexing to Scopus and Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
Scope:
The Artificial Intelligence in Education Special Track brings together the latest advances in the conception, development and application of artificial intelligence models for education. These models address aspects such as student performance assessment, student engagement enhancement, emotion and learning styles and predisposition identification, virtual assistants, classroom enhancement technologies, automatic adaptation of teaching processes, among others.
Submission Topics:
· Adaptive educational resources recommendation
· AI for student performance assessment
· Automatic adaptation of teaching processes
· Automated sequencing of educational resources
· Classroom enhancement technologies
· Student emotion detection
· Gamification and game-based learning
· Learning predisposition identification
· Learning styles identification
· Second language learning and teaching
· Student engagement enhancement using AI
· Ubiquitous and pervasive computing in teaching environments
· Virtual assistants
· Virtual reality and augmented reality
Special Track Organizers:
Arsénio Reis, INESC TEC and University of Trás-os-Montes e Alto Douro
Tiago Pinto, INESC TEC and University of Trás-os-Montes e Alto Douro
Eduardo Solteiro Pires, INESC TEC and University of Trás-os-Montes e Alto Douro
Best regards / Melhores cumprimentos
Recently edited book:
Local Electricity Markets, Elsevier
Open special issues:
Explainability in Knowledge-based Systems and Machine Learning Models for Smart Grids
Operation, Management, and Decision Making in Future Electricity Markets
Modeling Electricity Markets and Energy Systems: Challenges and Opportunities Ahead
Some selected publications: