2020 BenchCouncil International Symposium on Education Technology (EduTech 20)
Qingdao, Shandong, China Jul 2-3, 2020
BenchCouncil International Symposium on Education Technology (EduTech 20) will be held in Qingdao, a beautiful seaside city in China from July 2 to July 3. The main theme of EduTech 20 is AI and Computer Sciences for Education. EduTech 20 is a part of 2020 BenchCouncil Federated Intelligent Computing and Block Chain Conferences (FICC 2020), joint with Symposium on Intelligent Computers (IC 20), Symposium on Block Chain (BChain 20), Symposium on Intelligent Medical Technology (MedTech 20), and Symposium on Financial Technology (FinTech 20). This conference organization retains the advantages of a smaller conference, while at the same time, facilitates communication, collaboration, and interplay among different disciplines. Hereby, EduTech 20 is for the communication, collaboration, and interplay among the communities of Education, AI, and Computer Sciences.
Since its founding, BenchCouncil has two fundamental responsibilities. On one hand, it encourages data-driven, intelligence-inspired, and benchmark-based quantitative approaches to tackle multi-disciplinary challenges. On the other hand, BenchCouncil incubates benchmark projects and hosts the BenchCouncil benchmark projects, and further encourages reliable and reproducible research using the BenchCouncil benchmark projects or incubator benchmark projects. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers related with those projects (each paper $100 prize, maximally up to 15 papers for EduTech 20). We welcome the industry leaders as sponsors to provide the testbed and the honorariums for the above awards.
In addition, we will invite influential speakers from around the world.
Specific topics of interest include, but are not limited to, the following.
AI, Block Chain, Cloud, and Data Techniques for Education
Smart Learning Environments and Infrastructures
Internet-based Remote Education
Smart Learning Techniques
Quantitative Education Practices and Case Studies
AI and CS education