22 August, 2021

3rd AIMA4EDU Workshop in IJCAI 2021

AI-based Multimodal Analytics
for Understanding Human Learning
in Real-world Educational Contexts

IJCAI 2021

To submit papers, please contact one of our organizers --- Richard Tong (richard@yixue.us)
Submission Doc
 
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 22nd, 2021

Workshop Day

 

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

Yiqiang%20Chen_edited.jpg

Institute of Computing Technology

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Institute of Automation

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SRI International

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Squirrel Ai Learning

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