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10th Workshop on Cloud Technologies in Education

CTE 2022

Date of beginning

Monday, 23 May 2022

Duration

1 day

Deadline for abstracts

Monday, 21 March 2022

City

Kryvyi Rih

Country

Ukraine

Contact

Andrii Striuk

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

30

Memo

Cloud Technologies in Education (CTE) is a peer-reviewed international Computer Science workshop focusing on research advances, applications of cloud technology in education. The Workshop occupies contributions in all aspects of educational technologies and cloud-based learning tools, platforms, paradigms and models, functioning programmes or papers relevant to modern engineering and technological decisions in the IT age. There is urgent general need for principled changes in education elicited by current e-learning tools, services and IT communication. Let’s to come, show your best practice, and envisage your future actions at the front line of high-tech education. Topics of interest Adaptive Cloud Learning Platforms Blended Learning Blockchain in Education Cloud-based AI Education Applications Cloud-based E-learning Platforms, Tools and Services Cloud-based Learning Environments Competency-Based Education Platforms Digital Transformation of Education Educational Data Mining Emotion AI Immersive Technology Applications in Education Mobile Learning Smart Campus Technologies Social Analytics in Education Authors are invited to submit full (at least 10 pages) papers through the HotCRP (https://notso.easyscience.education/cte/2022/) by March 21, 2022. CTE 2022 uses one-column CEURART style for the proceedings (https://cte.ccjournals.eu/cte2022/CEURART.zip). Therefore, for preparing your submission please STRICTLY FOLLOW the Guidelines (https://cte.ccjournals.eu/cte2022/sample-1col.pdf) to format your document for CEUR-WS and use sample-1col.tex file from CEURART.zip as template. Your submission should be prepared using TeX and one-column CEURART style. Submitted papers will be peer-reviewed by two scholars on the basis of technical quality, relevance, originality, significance, and clarity. If necessary, a third, additional reviewer will be involved. The Program Committee will use these reviews to determine which papers will be accepted for presentation at the workshop. The result of the reviewing will be announced to the submitting authors by email, along with reviewer comments, if any. Program Committee: https://cte.ccjournals.eu/cte2022/#section-partner Contacts: Mariya Shyshkina, +380-97-0439137, This email address is being protected from spambots. You need JavaScript enabled to view it. Andrii Striuk, +380-68-9030013, This email address is being protected from spambots. You need JavaScript enabled to view it. Facebook event: https://www.facebook.com/events/220202153363147/