Ayaz Karimov

Doctoral Researcher
Unit
Faculty of Information Technology
Organization unit
Faculty of Information Technology, Educational Technology and Cognitive Science
Room number
Email
ayaz.a.karimov@jyu.fi
Mobile
+358504787217
Postal address
Mattilanniemi 2
Fields of science
113 Computer and information sciences

Biography

I work as a doctoral researcher at the Faculty of Information Technology. As a part of Human and Machine based Intelligence in Learning (Humble)​ research group, I research online educational platforms as well as their gamification features by implementing data analysis algorithms.

Publications

Publication
2025

International Journal of Educational Technology in Higher Education
Zhao, Lei
Liu, Jiahui
Karimov, Ayaz
Saarela, Mirka
Publication
2025

Hawaii International Conference on System Sciences
Saarela, Mirka
Karimov, Ayaz
Sikström, Pieta
Heilala, Ville
Publication
2025

Hawaii International Conference on System Sciences
Karimov, Ayaz
Saarela, Mirka
Aliyev, Samir
Baker, Ryan
Publication
2025

Frontiers in Education
Karimov, Ayaz
Nolte, Alexander
Chounta, Irene-Angelica
Saarela, Mirka
Kärkkäinen, Tommi
Publication
2025

International Conference on Games and Learning Alliance
Karimov, Ayaz
Saarela, Mirka
Publication
2025

Journal of Interactive Learning Research
Ismayilzada, Aytaj
Karimov, Ayaz
Saarela, Mirka
Publication
2024

Interactive Learning Environments
Ahmadov, Tarlan
Karimov, Ayaz
Durst, Susanne
Saarela, Mirka
Gerstlberger, Wolfgang
Wahl, Mike Franz
Karkkainen, Tommi
Publication
2024

World Conference on EdTech
Karimov, Ayaz
Saarela, Mirka
Kärkkäinen, Tommi
Publication
2024

International conference on educational data mining
Karimov, Ayaz
Saarela, Mirka
Kärkkäinen, Tommi
Publication
2024

World Conference on EdTech
Karimov, Ayaz
Saarela, Mirka
Ouazizi, Samira

Research groups

Research orientation of Humble
Research group

Human and Machine based Intelligence in Learning (Humble)

Human and Machine based Intelligence in Learning (Humble) focus on the development of data mining and machine learning methods based on human intelligence and collaboration and uses these methods to advance learning analytics about learners and learning.
Research group

Computing Education Research

Computing Education Research (CER) group studies education in the computing context.