AI4EDU @ IJCAI 2021: The 2nd International Workshop on Artificial Intelligence for Education Montreal, Canada, August 21, 2021 |
Conference website | http://ai4ed.cc/workshops/ijcai2021 |
Submission link | https://easychair.org/conferences/?conf=ai4eduijcai2021 |
Submission deadline | June 5, 2021 |
Recent years have witnessed growing efforts from AI research community devoted to advancing our education and promising results have been obtained in solving various critical problems in education. However, developing and applying AI technologies to educational practice is fraught with its unique challenges, including, but not limited to, extreme data sparsity, lack of labeled data, and privacy issues. In AI4EDU @ IJCAI 2021 workshop, we will focus on introducing research progress on applying AI to education and discussing recent advances of handling challenges encountered in AI educational practice.
Submission Guidelines
The workshop solicits paper submissions from participants (2–6 pages). Abstracts of the following flavors will be sought: (1) research ideas, (2) case studies (or deployed projects), (3) review papers, (4) best practice papers, and (5) lessons learned. Submitted papers on the topic will follow the standard IJCAI 2021 template and will be peer-reviewed. Some will be selected for spotlight talks, and some for the poster session.
List of Topics
We encourage keynote speeches on a broad range of AI domains for education. Topics of interest include (in no particular order) but are not limited to following:
- Emerging technologies in education
- Evaluation of education technologies
- Immersive learning and multimedia applications
- Implications of big data in education
- Self-adaptive learning
- Individual and personalized education
- Intelligent learning systems
- Intelligent tutoring and monitoring systems
- Automatic assessment in education
- Automated grading of assignments
- Automated feedback and recommendations
- Big data analytics for education
- Analysis of communities of learning
- Computer-aided assessment
- Course development techniques
- Data analytics & big data in education
- Mining and web mining in education
- Learning tools experiences and cases of study
- Social media in education
- Smart education
- Digital libraries for learning
- education analytic approaches, methods, and tools
- Knowledge management for learning
- Learning analytics and educational data mining
- Learning technology for lifelong learning
- Tracking learning activities
- Uses of multimedia for education
- Wearable computing technology in e-learning
- Smart classroom
- Dropout prediction
- Knowledge tracing
Committees
Program Committee
- Carles Sierra (Spanish National Research Council)
- Tom Mitchell (Carnegie Mellon University)
- Kenneth D. Forbus (Northwestern University)
- Victor Lu (Beijing Normal University)
- ArtGraesser (University of Memphis)
- Bruce M. McLaren (Carnegie Mellon University)
Organizing committee
- Zitao Liu (TAL Education Group)
- Richard Tong (Squirrel AI Learning)
- Jiliang Tang (Michigan State University)
- Xiangen Hu (University of Memphis)
- Hang Li (TAL Education Group)
Contact
All questions about submissions should be emailed to liuzitao@tal.com