SETE 2024, the ninth Annual International Symposium on Emerging Technologies for Education is also this year organized in conjunction with ICWL 2024, thanks to the Shanghai University. SETE 2024 is organized in a main track, where research papers about the SETE Topics can be submitted, and in an array of workshops, which will help achieve inclusion and diversity in the overall offer of the symposium. All accepted papers (main track and workshops), presented at the conference, will be published as a volume dedicated to SETE in the Springer series Lecture Notes in Computer Science (LNCS).

Fueled by ICT technologies, the 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 in the 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, educationists, and practitioners to discuss state-of-the-art and in-progress research, 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 open to the public for organizing a workshop or track to achieve diversity in the symposium.

Topics of interest include, but are not limited to:

    AI for Education
    Big Data Driven Education
    Informal Learning at the Workplace
    Data Driven Decision Making in Education
    User/Student/Teacher Modeling
    Learning Analytics in Digital Learning Environments
    Modeling Complex Learning Processes with Multi-Channel learning data
    Educational Technology and ICT for Education
    Assessment in Technology Enhanced Learning
    Inclusive Education