August, 2021
3rd AIMA4EDU Workshop in IJCAI 2021
AI-based Multimodal Analytics
for Understanding Human Learning
in Real-world Educational Contexts
IJCAI 2021
Meeting notes from last year are listed here
Paper Links from Last Year
YueqiWang, Zachary Pardos
Carla Guerra, Francisco S. Melo, Manuel Lopes
Fangli Xu, LingfeiWu, Shimeng Peng, Richard Jiarui Tong
Full Paper
Short Paper
Demo/Analytics Paper
4-6 pages
Full papers should present original research work.
2-3 pages
Short papers can be position or early results papers.
2-3 pages
Demo papers should describe a demonstration.
till AIMA4EDU Workshop inaugurates
About AIMA4EDU
Human learning is a complex interactive and iterative process that takes place at a very finegrained level. However, our ability to understand this fascinating latent learning process is often limited by what we can perceive and how we can measure. Recent advances of sensing technology and accompanying techniques for processing multimodal data, which manifest the
psychological as well physiological processes during the human learning process, give us a new opportunity to look at this classical problem with a new pair of lens. The emerging new type of data includes, but not limited to, student’s physiological signals such as EKG or EEG waveforms, students’ speech, facial expressions and postures, within the context of particular learning activities. We are particularly interested in those data gathered from the real-world educational activities versus those from the controlled lab environment.
IMPORTANT DATES /
June 20th, 2021
paper submission ultimate deadline
July 4th, 2021
Notification of acceptance/rejection
August 3rd, 2021
Camera-ready version deadline
August 21st-26th, 2021
Conference hold
(Workshop Date TBD)
Schedule of the half-day virtual workshop
Opening Remarks
Overview of the Shared Dataset
Invited Talk (1)
Contributed talks (1)
Coffee Break
Invited talks (2)
Contributed talks (2)
Lunch break
Invited talks (2)
Contributed talks (2)
Panel Discussion
Closing Remarks
Organizing Committee
Program
Committee
Zachary Pardos (University of California Berkeley)
Lujie Karen Chen (CMU)
LP Morency (CMU)
Ying Yao (University of Toronto)
Lang Lee (U Toronto)
Jing Jiang (University of Technology Sydney)
Lu Liu (University of Technology Sydney)
Richard Tong (Squirrel Ai Learning)
Fangli Xu (Squirrel Ai Learning)
...and more