About to AIETSL 2026
The 2026 International Conference on Artificial Intelligence, Educational Technology and Smart Learning (AIETSL 2026) will be grandly held in Nanjing. This conference focuses on the integrated development of artificial intelligence, educational technology and smart learning, aiming to promote innovation in educational models and changes in learning methods. Against the backdrop of the continuous development of digital education, intelligent technologies are gradually transforming teaching and learning processes. The conference will mainly discuss key issues such as intelligent teaching systems, learning analysis and the application of educational data. The conference is open to experts in educational technology, computer science and educational research, and promotes communication through special reports and sharing of practical cases. The conference welcomes submissions of original research results to promote the development of educational intelligence and the improvement of teaching quality.
IMPORTANT DATES
2026-06-25-Submission Deadline
2026-07-02-Registration Deadline
2026-07-09-Conference Date
About a week after the submission-Notification Date
RECORD
All full paper submissions to the AIETSL 2026 could be written in English and will be sent to at least two reviewers and evaluated based on originality, technical or research content or depth, correctness, relevance to conference, contributions, and readability. All accepted papers of AIETSL 2026 will be published in the conference proceedings, which will be submitted to EI Compendex, Scopus for indexing.
Paper template
Please refer to the paper template for layout
Click to download
Register
All attendees must register in advance to attend the meeting
Consulting service
Submit
Please submit the full text/abstract of the paper to us through the electronic submission system
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Call For Papers
Financial Technology Risk Management Investment analysis Financial modeling Risk assessment Investment Strategy Financial Market Data Finance Asset Management Financial Forecast Risk Control Investment portfolio Financial algorithms Economic analysis Financial engineering Capital market Investment model Financial data Risk Analysis Investment decision Financial innovation Market analysis artificial intelligence Educational technology Smart learning Learning analysis Educational data Intelligent teaching online education
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Indexing Service
Technical Sponsor
Call for Reviewers
As a platform for global academic communication, the quality of conference publication has always an aspect attracting much of our attention. To ensure quality of our publication and to better serve the peers in academic circle, we now call for reviewers among professionals and experts of the world. Professionals and experts who hold PhD (doctoral) degree in the conference related areas are encouraged to join in us and together, we will work hard to become a world-class academic conference. Please send us your CV by email (aietsl@confsmanual.com) if you are interested in it.
SCI Journal
Contributors are encouraged to submit papers / abstracts to the conference. The organizing committee will select high-quality papers and recommend them to SCI/SSCI journals. For specific matters, please contact the person in charge of the conferrence.
Submission Guidelines
Delegates are encouraged to submit their papers/abstracts to the conference. Good quality papers will be selected by the organizing committee and Prof. Soteris Kalogirou, the editor in chief. After it, the authors will be invited to extent their papers/abstracts and submit them to aietsl@confsmanual.com. The normal size of research papers is 4,000-6,000 words excluding abstract and references.
Submission Portal
If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:
周老师
TEL:193 3052 0624
QQ:1429267914
E-mail:aietsl@confsmanual.com
About Plagiarism Check
Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication from previously published content should be less than 20%; If the amount of duplication is 20% - 35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be rejected. Please note that there will be no refund for no-shows.