ABSTRACT
This paper examines Weibo discussion about Chinese online education during the Covid-19. Posts extracted from trending topics of #e-learning vs. classroom learning and #e-tests vs. classroom tests are collected to explore the online public view towards changes brought by the new teaching paradigm. We find that institutions of education are not leading the online conversation, whereas private companies and social media influencers have a more powerful reach. Moreover, three themes about the common problems in distance education have surfaced from the posts and the overall attitude is far from positive. © 2020 IEEE.
ABSTRACT
Oitline teaching arc facing drikmatic challenges due to the COVIDI9 pandemic requiring massive online education. Students are experiencing mental and physical isolation during this period. This research :Aims to find an efficient may to discover students emotion status through 1,;El: patient recognition (1'10. Traditional PR !method,' haie been applied eNtensikeh in 1":Ft;recognition including Artificial Neuron Networks iANNi, Support Vector Nlak'hinekSVNI Nearest Xeighhorc (KNN), and so on. In this paper, a association rule -based PR method has been introduced through incorporating clustering and Apriori association rube methods. The experimental results demonst rale that Ute tgdimized rule -based 1":F:t;PR model Can improve real-time recognition eflicienc. Tlic proposed model can Ike used for identifying students cognitive statuses and improve educational perfikrrnunce in (.0\11/19 period
ABSTRACT
This paper examines Wellop discussion about 'hinese online education (luting the Cm id -19. Posts exit-acted from trending. topics of tte-learning vs. claNXIFOOM Irarning and tile-lesis vs. classroom tests are collected Ill explore the online public lieu touards clzinges liniughi In the nov teaching paradigm. We find that institutions of education are 1101 leading the online conversaolmi, uherras Ovate companies and social media influencers have a more powerful reach. Nlortaivrr, three thews ah0ut the common problems In distance education have surfaced from the posts and the overall attitude is far from positive.
ABSTRACT
Background: During the coronavirus disease 2019 (COVID-19) lockdown, contact clustering in social bubbles may allow extending contacts beyond the household at minimal additional risk and hence has been considered as part of modified lockdown policy or a gradual lockdown exit strategy. We estimated the impact of such strategies on epidemic and mortality risk using the UK as a case study.