Chosun University Decides to Conduct Second Semester Classes Online View original image

[Asia Economy Honam Reporting Headquarters Reporter Cho Hyung-joo] Chosun University has decided to conduct the 2021 fall semester classes in a non-face-to-face (online) format.


According to Chosun University on the 11th, the non-face-to-face class operation method will be from September 1 until October 26, before the midterm exams. After October 27, the class method will be re-announced according to the COVID-19 situation.


Chosun University will classify and operate the class methods by producing real-time video lectures and online content according to the type of lecture to enhance the efficiency of non-face-to-face classes.


Real-time video lectures are classes conducted through live broadcasts such as Zoom, StreamYard, or YouTube, allowing real-time communication.


In the case of self-produced online content, the professor records the lecture scenes on video and uploads them to the university's Cyber Campus, enabling students to attend classes.


In particular, Chosun University explained that the introduction of Zoom, a video conferencing platform within the Cyber Campus, the on-campus class attendance site, has made it more convenient to use non-face-to-face classes.


For courses that inevitably require face-to-face classes, they will be conducted under COVID-19 prevention guidelines and with the approval and responsibility of the dean of the college.


The face-to-face class approval procedure involves the course instructor submitting an application form, which is reviewed and approved by the head of the department and the dean, and the class method may change according to adjustments in the COVID-19 social distancing levels.


President Min Young-don said, “We decided to operate the second semester classes in a non-face-to-face manner to minimize the spread of COVID-19,” and added, “We will continue to strive to provide students with efficient and high-quality classes.”





This content was produced with the assistance of AI translation services.

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