Assessment of Teaching Method and Class Evaluation of International Online Teaching during COVID-19| Chapter 3 | Current Overview on Science and Technology Research Vol. 7

 The present study evaluate the education method and class judgment of International Online Teaching all along COVID-19. In 2020, the COVID-19 universal bestowed an unexpected and meaningful challenge to instruction place connected to the internet learning was executed and issues that nobody had earlier visualized were made obvious. The paper focuses on the connected issues and plans some answers established the knowledge of an worldwide online course and the study of connected to the internet education. First, established the depiction of current software and fittings secondhand in connected to the internet education, the characteristics of usually secondhand education software have happened analysed and distinguished. Then, adept alliances of teaching program for completing benefits are urged to ensure a superior connected to the internet education. Second, questions inside of class existing in connected to the internet scolding and education are studied, and matching education patterns have happened explored containing the facets of class interplay design and exercise, alternative method for transfering essential broadcast facts, and connected to the internet class management. One of the key determinants that helps the incident of global connected to the internet education is class judgment. The gift creates a foundation for further survey of the connected to the internet education system for class judgment. In agreements of class material coverage, the impact of specific information on knowledge, and connected to the internet class engagement, sure objective class judgment tests are examined. Finally, some feasible plans are presented, and they maybe used as a guide to embellish connected to the internet information.

Author(s) Details:

Min Qi,
School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China and National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi’an, China.

Hongying Meng,
Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, UK.

Please see the link here: https://stm.bookpi.org/COSTR-V7/article/view/8505