- Andreja Istenic Starcic, University of Ljubljana & University of Primorska, Slovenia
- Manolis Mavrikis, University Colege London, UCL Knowledge Lab, UK
- Maria Cutumisu, Professor University of Alberta, Canada
- Cristina Alonso Fernández, Complutense University of Madrid, Deptartment of Software Engineering and Artificial Intelligence, Spain
Potentials of AI for learners, teachers and organizations need to be examined on all levels of teaching and learning processes supporting in diverse learning contexts providing personalization and social management with the learning analytics supporting data-informed learning and teaching. The new ecosystem if formed with data-driven school routines and collaboration of school with parents and collaboration of teachers within the school as between schools in the curriculum at the level of instructional design and lesson delivery.
In the workshop, we are focusing on review studies and intervention studies to share findings and discuss the influence of AI. The special attention is paid to teachers roles. How did educational technology influence and changed the role of the teacher in the past and what is anticipated with the increasing application of AI in teaching and learning? Which factors influence teacher's expert knowledge and teachers believes and approaches in teaching utilizing AI.
Workshop topics (which not limited to):
- Personalization, the advanced feedback and scaffolds and predictive learning analytics
- Social management and computer supported collaborative learning
- Data-informed learning and teaching and the perception of data-driven school ecosystems in partnership with parents and communities
- Teacher's expert knowledge
- Intelligent tutoring systems, personalized learning systems, agent-based software systems, a system with physical component including robotics, intelligent exploratory learning environments
- Preparing learners for 21st-century skills, critical discussion of different models, e.g. 4C skills (creativity and innovation, communication and collaboration, critical thinking and problem solving, computational thinking and digital competences)
- Ethics and privacy issues
- Multimodal human-computer interaction and decision-making
- Capturing and measuring learners' engagement and behaviour using physiological data
- Designing applications for learning and teaching integrating pedagogical model, learner model and the model of learning content
As part of the International Symposium on Emerging Technologies for Education (SETE) 2019, all accepted papers of this workshop will be included in the SETE Proceedings, which will be published in Springer's Lecture Notes in Computer Science (LNCS). LNCS volumes are indexed in Scopus, EI Compendex, DBLP, etc.
Authors are invited to submit original papers reporting on research results or novel applications. Submitted papers have to be in pdf format, and according to the Springer LNCS Authors Guidelines. Submissions are subject to double-blind review process; formats for the submissions are either Full Paper (10 to 12 pages) or Short Paper (6 to 8 pages).
Please submit your paper, according to the above specifications, by email to the main organizer: firstname.lastname@example.org
- Paper submission: June 25th
- Notification of acceptance: July 30th
- Camera ready and full registration: August 19th