Education is the cornerstone of any society and it serves as one of the foundations for many of its social values and characteristics. Knowledge societies offer significant opportunities for novel ICT tools and applications, especially in the fields of education and learning. In such a context, the role of intelligent systems, rooted in artificial intelligence, has become increasingly relevant to the field of Technology Enhanced Learning (TEL). New intelligent solutions can be stand-alone or inter-connected to others and can target not only cognitive processes but can also take care of motivational factors. Furthermore, more recently, makerspaces are also emerging as a central possibility to increase learning opportunities and outcomes, especially in the case of “fragile users”, as for example children, elderly people, people with special needs.
The 8th edition of this conference expands the topics of the previous editions in order to provide an open forum for discussing intelligent systems for TEL, their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone solutions or web-based ones, and makerspaces, also fostering entrepreneurship and increasing business startup ideas. It intends to bring together researchers and developers from industry, the education field and the academic world to report on the latest scientific research, technical advances and methodologies.
TEL systems & environments
Agent-based TEL systems
Multi-agent simulation educational environments
Multi-agent based Intelligent Collaborative Learning
Cognitive, emotion and personality modeling within intelligent TEL systems
Personalisation and recommendation in TEL systems
Knowledge representation, reasoning and management for TEL
Semantic web for TEL
Natural language processing and generation for TEL
AI-based games and game-based learning for TEL
AI technologies and tools for TEL
Data and process analytics for TEL
Gamified or game-based TEL environments
Augmented reality for TEL
Internet of things based learning environments
Computational thinking environments
Massive Open Online Courses (MOOC)
Social Web environments for TEL
Online learning environments
Intelligent tutoring systems
Self-regulated TEL environments
Sharing and interoperability between TEL environments
Learning analytics
Requirements engineering for TEL
Software architectures for TEL (architectural patterns, styles and tactics)
Platforms/Middleware/APIs for TEL
Validation, testing, prototyping and simulation for assessing TEL system quality
Performance, reliability, maintainability, security and other quality attribute evaluations in TEL systems
Design and evaluation methodologies for TEL
Methodologies for personalisation, user modelling and adaptation in TEL
Methodologies for recommendations in TEL
Methodologies for fostering motivation and engagement
Methodologies for the design of accessible and usable TEL systems
Methodologies for including learners in the design process
Methodologies for gamified or game-based learning
Methodologies for informal learning
Methodologies for fostering learning in small, medium and large companies
Methodologies for fostering learning of special need learners
Methodologies for fostering social learning
Human-computer and Child-computer interaction for TEL
TEL studies in diverse domains
Computational thinking studies in a TEL context
Evidence-based studies in a TEL context
Usability and user experience studies in a TEL context
Gamified or game-based learning studies
Social learning studies
Internet of things studies
Health education and training through technology
Technology-based learning experiences
TEL & Mobile Learning
Applications, technologies and platforms for Mobile Learning
Scalability and Interoperability Dimensions for TEL & Mobile Learning applications
Innovative Mobile Learning approaches
Evaluation and assessment of Mobile Learning applications
Pedagogical approaches, models and theories for Mobile Learning
Learning analytics and Mobile Learning
06月20日
2018
06月22日
2018
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
留言