Theme: Educational data mining for amplifying human potential
Educational Data Mining is a leading international forum for high-quality research that creatively explores educational data to answer educational research questions, including understanding how people learn and how teaching induces learning.
Prof. Jeffrey D. Ullman
Turing Laureate, Stanford W. Ascherman Professor of Computer Science (Emeritus), Stanford University
Dr. Sihem Amer-Yahia
CNRS Research Director, France
Prof. Hiroaki Ogata
Kyto University, Japan
Dr. Anand Deshpande
Founder and Chairman, Persistent Systems, India
Prof. Cristina Conati
University of British Columbia, Canadá
The Prof. Ram Kumar Educational Data Mining Test of Time Award Talk
D. N. Prahlad
Non-Executive Chairperson,
Surya software Systems
Yannis Ioannidis
(Panel Chair)
Aoying Zhou
(Panel Chair)
S. Sudarshan
(Panel Chair)
Viraj Kumar
(Panel Chair)
Partha Pratim Chakrabarti
(Co-Chair)
K.V.S. Hari
(Co-Chair)
Ryan Baker
Agathe Merceron
Ange Adrienne Nyamen Tato
Praveen Garimella
Vasudeva Varma
Ganesh Ramakrishnan
Ayush Maheshwari
Aaron Haim
Stacy Shaw
Neil Heffernan
| Acceptance Notifications | April 10, 2023 |
| Camera Ready Due | May 1, 2023 |
| Conference | July 11-14, 2023 |
