Fueled by ICT technologies, e-learning environment in the education sector has become more innovative than ever before. Diversified emerging technologies containing various software and hardware components provide underlying infrastructure to create enormous potential educational applications incorporated by proper learning strategies. Moreover, those prevalent technologies might also lead to changes of educational environment, so as learning performance. Meanwhile, new paradigms are also emerging along with the purpose of bringing these innovations to a certain level where they are widely accepted and sustainable. Therefore, this symposium aims at serving as a meeting point for researchers, educationist, and practitioners to discuss state-of-the-art and in-progress researches, exchange ideas and share experiences about emerging technologies for education. This symposium attempts to provide opportunities for the cross-fertilization of knowledge and ideas from researchers in diverse fields that make up this interdisciplinary research area. We hope that the implications of findings of each work presented in this symposium can be used to improve the development of educational environments. SETE is now opened to the public for organizing a workshop or track to achieve diversity of the symposium.

Tracks

• Track1: Granular Computing and Data Driving Decision Making in Education

• Track2: Emerging Technologies for User Modeling

• Track3: Modelling Complex Learning Processes with Multi-channel learning data

• Track4: Emerging Technologies for Game-based and Joyful Learning

• Track5: Deep Processing of Social Media Data

• Track6: Document AI for education

• Track7: Education Technology (Edtech) and ICT for Education

• Track8: ICT for inclusion in quality education

• Track9: Knowledge Graph for Education and Its Applications

• Track10: Learning Analytics in Digital Learning Environments

Paper Submission & Publication

• All accepted papers presented at the conference will be published as a volume in Springer Lecture Notes in Computer Science (LNCS).

• Submitted papers must be formatted according to the Springer LNCS Authors Guidelines.

• They are subject to double-blind review process, so they should not contain authors' names, affiliations, or any other information that may disclose authors' identity.

• The Track Chairs and Technical Program Committee of SETE will manage the review process and will accept submitted papers either as Full Paper (having a maximum of 12 pages in the LNCS format) or as Short Paper (having a maximum of 8 pages in the LNCS format).