Earticle

Background: In order to fight the epidemic, the Ministry of Education, PRC has put forward a work plan of "no suspension of classes", which promotes the sharing of high-quality online teaching resources through online education, promotes the "classroom revolution" by changing teaching and learning methods, and provides a learning platform with network technology, thus promoting the development of mixed teaching. Statistical analysis: In order to adapt to the development trend of contemporary educational information and fully consider the principal position of students. Finding: a blended teaching mode based on SPOC which is suitable for the courses combining theory and practice is formulated. Taking the course of "Modern Educational Technology" as an example, the blended teaching is studied in detail. Applications: in order to provide reference for future blended teaching research.

Background/Objectives: Automation is a trend currently, and chatbots are an excellent way for organizations to automate customer service duties. The medical profession has been put under immense strain during COVID-19 outbreaks as the number of patients increases rapidly, causing medical institutions and hospitals to be overcrowded. Users will find it challenging to schedule an appointment at a clinic, provide health advice, or update information due to this. Methods/Statistical analysis: A chatbot that supports users in advising, making appointments, and screening COVID-19 patients at clinics can be a valuable resource for both the user and the clinic in this situation. This paper developed a framework for developing a chatbot for clinics using a specific Frequent Answer Question (FAQ) dataset relating to COVID-19 and frequent diseases in Vietnam. In our study, the RASA framework was used with data collected from interviewing receptionists and website of clinics. Findings: Our chatbot can act as a counsellor, assisting patients with scheduling appointments, answering inquiries about symptoms of common illnesses, in particular, COVID-19 patient screening. In addition, we integrated our chatbot with Facebook Messenger and Zalo, two major social networking sites in Vietnam. Improvements/Applications: For specific implementation with each clinic, dataset enhancement and new services information update are necessary for broader applications.