Connectionists: Call for Papers - AAAI2021 Spring Symposium on Artificial Intelligence for K-12 Education

[Zitao Liu]

** Call for Papers ** - AAAI2021 Spring Symposium on Artificial
Intelligence for K-12 Education

http://ai4ed.cc/workshops/aaai2021sss

The increasingly digitized education tools and the popularity of online
learning have produced an unprecedented amount of data that provides us
with invaluable opportunities for applying AI in K-12 education. Recent
years have witnessed growing efforts from the AI research community devoted
to advancing our education and promising results have been obtained in
solving various critical problems in K-12 education. Despite gratifying
achievements have demonstrated the great potential and bright development
prospect of introducing AI in K-12 education, 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. Hence, this symposium will focus on introducing
research progress on applying AI to K-12 education and discussing recent
advances of handling challenges encountered in AI educational practice.

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Symposium Topics
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We encourage paper submissions on a broad range of AI domains for K-12
education. Topics of interest include (in no particular order) but are not
limited to following:


   - Emerging technologies in K-12 education
   - Evaluation of K-12 education technologies
   - Immersive learning and multimedia applications
   - Implications of big data in K-12 education
   - Self-adaptive learning
   - Individual and personalized K-12 education
   - Intelligent learning systems
   - Intelligent tutoring and monitoring systems
   - Automatic assessment in K-12 education
   - Automated grading of assignments
   - Automated feedback and recommendations
   - Big data analytics for K-12 education
   - Analysis of communities of learning
   - Computer-aided assessment
   - Course development techniques
   - Data analytics & big data in K-12 education
   - Mining and web mining in K-12 education
   - Learning tools experiences and cases of study
   - Social media in K-12 education
   - Smart K-12 education
   - Digital libraries for learning
   - K-12 education analytic approaches, methods, and tools
   - Knowledge management for learning
   - Learning analytics and K-12 educational data mining
   - Learning technology for lifelong learning
   - Tracking learning activities
   - Uses of multimedia for K-12 education
   - Wearable computing technology in e-learning
   - Smart classroom
   - Dropout prediction
   - Knowledge tracing

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Paper Submission
---------------------
The symposium solicits paper submissions from participants (2–6 pages).
Abstracts of the following flavors will be sought:

   - research ideas
   - case studies (or deployed projects)
   - review papers
   - best practice papers
   - lessons learned.


The format is the standard double-column AAAI Proceedings Style and single
blind. The author kit can be found at
https://www.aaai.org/Publications/Templates/AuthorKit21.zip.

We will encourage submissions of works-in-progress and extended abstracts,
in addition to full length papers. All submissions will be peer-reviewed.
Some will be selected for spotlight talks, and some for the poster session.

The submission website is at https://easychair.org/conferences/?conf=sss21.
For more questions about the workshop and submissions, please send email to
liuzitao at 100tal.com.

---------------------
Important Dates
---------------------

   - December 15, 2020: Workshop paper submission due (23:59, Pacific
   Standard Time)
   - December 31, 2020: Notifications of acceptance
   - March 22–24, 2021: Symposium Date

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Organizers
---------------------

Zitao Liu TAL Education Group, China
Jiliang Tang Michigan State University, USA
Yi Chang Jilin University, China
Xiangen Hu University of Memphis, USA
Diane Litman University of Pittsburgh, USA


Best Regards,

Zitao Liu on behalf of the symposium organizing committees (with Jiliang
Tang, Yi Chang, Xiangen Hu, Diane Litman)
-- 


Dr. Zitao Liu | Director of Machine Learning, Head of TAL AI Open
Platform | TAL
Education Group (NYSE:TAL) | http://www.zitaoliu.com
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