Title: Data-driven computational pedagogy: exploration and thinking 

 

Presenter: Weining Qiang from East China Normal University

 

Abstract: Online education is profoundly changing the education model. Due to "no interaction, non-online; non-active, non-learning", the current online education is still far from the traditional Chinese educational wisdom. The digital transformation of education has to solve the two basic contradictions of large-scale education, personalized learning, and the systematic construction of fragmented knowledge. The development of information technology represented by the Internet and cloud computing provides conditions for the collection, aggregation, and comprehensive utilization of learning behavior data, laying a foundation for the realization of smart education. How to build an online learning platform with learning behavior data as the first element, provide large-scale personalized teaching services, enriching teaching and learning methods, change teaching evaluation methods, optimize teaching processes and learning paths, and facilitate the production and sharing of high-quality educational resources, to provide support for educational management decision-making is the important issue and challenges faced by the intersection of information technology and pedagogy. Toward this problem, we are developing the Metasequoia online platform, starting with the National Computer Science Education (CS4All), exploring education-oriented innovative information technology, forming a system platform, and exploring and refining data-driven computing while providing teaching services. The report will introduce our current progress and thinking during this exploration process.

 

 

 

Short Bio: Weining Qian, PhD, Distinguished Professor of East China Normal University, Dean of the School of Data Science and Engineering. He currently serves as a standing committee member of the Database Special Committee of the Chinese Computer Society, a deputy chairman of the Data Science and Knowledge System Engineering Special Committee of the Chinese Society of Systems Engineering, and a member of the AI Technology Innovation Expert Working Group of the Ministry of Education. He has won a number of scientific research awards including the second prize of the National Science and Technology Progress Award. Research interests include distributed data management systems, large-scale data analysis and processing and its applications, and data-driven computing pedagogy.

 

Data: 26 October, 2021 15:00

 

Location: 109 MingLi Building