Organization

General Chair

  • Ming Zhang (Peking University)

Program Co-Chairs

  • Juan Chen (National University of Defense Technology)
  • Yu Zhang (University of Science and Technology of China)

Program Committe

  • Bo Yang (Linyi University)
  • Junlin Lu (Peking University)
  • Ke Zhang (Institute of Computing Technology, Chinese Academy of Sciences)
  • Fei Han (Higher Education Press)
  • Ru Li (Shanxi University)
  • Ge Yu (NorthEast University)
  • Bin Xu (NorthEast University)
  • Yan Yang (Southwest Jiaotong University
  • Hongju Yang (Shanxi University)
  • Guangzhong Sun(University of Science and Technology of China)
  • Yanchun Sun (Peking University)
  • Lin Wang (University of Jinan)
  • Hongzhi Wang (Harbin Institute of Technology)
  • Hong Yu (Dalian Ocean University)
  • Haiyan Zhao (Peking University)
  • Ning Wu (Xi'an Jiaotong University)
  • Xia Sun (Northwest University)
  • Wei Wang (East China Normal University)
  • Zhao Wang (Peking University)
  • Xiaoxia Song (Shanxi Datong University)
  • Xiaochun Yang (Shanghai AchieveFun Info. Co.)
  • Zichen Xu (Nanchang university)


Important date

Abstract and title registration

  • Feb 4, 2020 22:00 AOE

Paper submission

  • Feb 10, 2020 22:00 AOE

Notification

  • March 20, 2020

Camera-ready

  • March 31, 2020

Submission Limits

  • 6 pages

The ACM TURC 2020 (SIGCSE China) Symposium

"Computing Education in the AI Era: For AI and By AI"

May 23 - 24, 2020, Hefei, China

The ACM TURC 2020 (SIGCSE China) Symposium is a leading international forum at the intersection of computer science and the learning sciences, seeking to improve practice and theories of CS education. ACM TURC 2020 (SIGCSE China) will be held in Hefei, China, May 23-24, 2020. We invite colleagues from around the world to contribute to, review for, and attend ACM TURC 2020 (SIGCSE China). We encourage you to share your new ideas for computing syllabi, laboratories, teaching, pedagogy, and education research.

The ACM TURC 2020 (SIGCSE China) theme is Computing Education in the AI Era: For AI and By AI. "AI+CE" highlights our goal to engage all the educators in the world to create new ideas on how to teach, empower and energize their students. This is also to boost broad collaboration of CS education worldwide. The submission Web page for SIGCSE China 2020 is https://easychair.org/conferences/?conf=acmturc2020

More information about ACM TURC 2020 SIGCSE China Symposium can be found https://china.acm.org/TURC/2020/SIGCSE.html

Topics of interest include but are not limited to the following
CS Education Research Topics Experience Reports and Tools Topics
Active Learning API and Library use for Education
Algorithms Assessment
Architecture/Hardware Classroom Management
Artificial Intelligence Communication Skills
Compilers/Programming Languages Course Management Systems
Computational Thinking CS1/2
Computers and Society Curriculum Issues
Cyber Security Graduate Instruction
Data Science Instructional Technologies
Data Structures Laboratory Experience
Database/Data Mining Learning Environment
Discrete Mathematics Teaching Problem Solving Skills
Distributed/Parallel Computing/HPC Teaching Teamwork and Collaboration Skills
Games Tool Use for Education
Graphics/Visualization Undergraduate Instruction
Robotics
Human-Computer Interaction
Software Engineering
Information Technology Curriculum Topics
Mobile Apps Capstone Courses
Multimedia Professional Practice
Networking Undergraduate Research
Object-oriented Issues Distance/Online Education
Open Source Software Graduate Studies
Operating Systems New Degree Initiatives
Privacy/Security New Interdisciplinary Programs (CS+X)
Real-Time/Embedded Systems

Submission guidelines

All aspects of the submission and notification process will be handled electronically. Research papers will be judged for quality and relevance through double-blind reviewing, where the identities of the authors are withheld from the reviewers. Author names and affiliations must not appear in the papers, and bibliographic references must be adjusted to preserve author anonymity. The paper is limited to a maximum of 6 pages and must adhere to ACM's publication guidelines (MS Word template, and LaTeX template). Note that authors must submit ONLY an anonymized version of the paper.