Digital Teaching Research Based on the Intelligent Research and Training Platform: Citing the Practice of the Chinese Teaching and Research Group of Senior Secondary School Affiliated to Xingyi Normal University for Minorities as a Case Study

The Intelligent Research and Training Platform (IRTP) of the National Center for Educational Technology (NECT) is an application designed to integrate AI technology and teacher education in response to the “Artificial Intelligence + Teacher Education” strategy, in order to provide teacher professional development and power the advancement of basic education. In this study, a school teaching and research team conducted instructional research on the seventh-grade Chinese lesson Wisteria, utilizing analytical reports of classroom observation, teaching behavior, and teacher ability matrix generated by the Intelligent Research and Training Platform’s big data-based evaluation of classroom teaching for this lesson. Using data analytics and scale grading, this kind of practice helps teachers get better at doing research in their own fields

Turning Disaster Data into Knowledge: Field Reconnaissance, Damage Assessment, and Lessons Learned from Hurricane Sandy, Harvey, and Michael

The recent hurricanes in 2012, 2017, and 2018, and efforts of researchers to capture vast quantities of perishable data through support of the National Science Foundation and other agencies, have created enormous databases of hurricane impacts to coastal structures that can be used to extract fundamental knowledge as to why these structures perform as they do during hurricanes. But exploration of these large data sets, untangling the complex factors contributing to various hurricane damages, and forming a holistic understanding of damage mechanisms are challenging tasks, requiring convergent approaches in system modeling, data science, and cyberinfrastructure design. In this presentation, Dr. Gong will discuss three hurricane reconnaissance trips, the associated data collection and analysis, and the advances in analytics for damage modeling with new AI and cyberinfrastructure approaches. He will also explain the findings as to the dominant factors contributing to damages based on the synthesis of these hurricane events and their implications to the New Jersey coastal community