International Conference on Artificial Intelligence in Education Technology on July 29-31, 2025 in Munich, Germany

International Conference on Artificial Intelligence in Education Technology on July 29-31, 2025 in Munich, Germany

Publication:

All peer-reviewed papers accepted by AIET 2025 will be published as a volume of the Springer book series Lecture Notes on Data Engineering and Communications Technologies.

Indexed by Ei Compendex, Scopus, INSPEC, etc. All books published in the series are submitted for consideration in Web of Science.

Papers of AIET 2021 ~ AIET 2024 have been published in Springer: Lecture Notes on Data Engineering and Communications Technologies successfully and indexed by Ei compendex and Scopus.

 

Keynote Speakers:

1.Prof. Fatos Xhafa. Universitat Politècnica de Catalunya (UPC), Spain

Editor in Chief: Elsevier Book Series "Intelligent Data Centric Systems"

Editor in Chief: Springer Book Series "Data Engineering and Communication Technologies"

Editor in Chief: Internet of Things; Engineering Cyber Physical Human Systems, Elsevier

2.Prof. Piet Kommers, University of Twente, The Netherlands

3.Prof. Demetrios Sampson, University of Piraeus, Greece

 

Conference Schedule:

July 29, 2025

10 am--4 pm Conference Sign-in and Materials Collection

3 pm--5 pm Welcome Reception

July 30, 2025

9 am--9:10 am Opening Remarks

9:10 am--12 pm Keynote Speeches, Group Photo, and Coffee Break

12 pm--1 pm Lunch

1 pm--6 pm Invited Speeches, Parallel Sessions for Oral Presentations, and Coffee Break

6 pm--8:30 pm Dinner Banquet

July 31, 2025

9 am--12 pm Parallel Sessions for Authors' Oral Presentations

12 pm--1:30 pm Break Time

1:30 pm--5 pm Parallel Sessions for Authors' Oral Presentations

5 pm--5:10 pm Awards Announcements and Closing Ceremony

 

Contact:

Ms. Sylvia Chan

Email: [email protected]

 

Topics of interest for submission include as following:

Track 1. Learning Contexts and Informal Learning

Track 2. Inequity and inequality in education

Track 3. Design, use, and evaluation of human-AI hybrid systems for learning

Track 4. Online and distance learning

Track 5. Evaluation in the Context of Education Technologies

Track 6. Innovative Applications

Track 7. Intelligent and Interactive Technologies in an Educational Context

Track 8. Intelligent Techniques to Support Disadvantaged Schools and Students, Inequity and Inequality in Education

Track 9. Learning Contexts and Informal Learning

Track 10. Modelling and Representation

Track 11. Models of Teaching and Learning

 

Name: The Asia Society of Researchers
Website: http://www.asr.org/

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