The 2nd International Conference on Education and Artificial Intelligence Technologies - EAIT will be held in QAHE at Northumbria University London Campus, UK during August 25-27, 2021.
It is co-organized by Staffordshire
University, UK, QAHE at Northumbria University London Campus, UK, Science
and Engineering Institute, USA, and Bubo.AI.
EAIT is the premier forum that brings both industry and academia for the dissemination of technological advances and research results in the fields of Artificial Intelligence Methods and Technologies as an aid to education at all levels. The conference will provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face. We have the strong organization team, dependable reputation and wide sponsors all around the world. It will bring you an unexpected harvest. We welcome you to be a member of our big family.
We invite submissions of papers, abstracts, posters and exhibitions on all topics related to Artificial Intelligence methods and technologies that revolutionise the education and experience of learners at all levels.
1. Industry Session "Artificial Intelligence in Practice" to be
delivered by Bubo.AI (https://www.bubo.ai/)
2. Due to the pandemic COVID-19, Online/Video Presentation are acceptable to the conference.
3. For online presentation, accepted full Papers can be published in the conference proceedings or Journal on time and enjoy special registration charges. (More information here)
I: Accepted papers can be included in
the ACM proceedings, which can be
indexed by EI Compendex and SCOPUS.
EAIT 2020 published papers have been index by EI Compendex and SCOPUS successfully within two months after online. Please get more information from the history.
Topics of interest for submission include, but are not limited to:
Artificial intelligence algorithms in education
Artificial neural networks in education
Artificial intelligence in student evaluation
Assessing student performance using artificial intelligence
Intelligent agent-based learning environments
Intelligent agents on the