EconPapers    
Economics at your fingertips  
 

Lack of Teachers’ Facial Expression in the COVID-19 Pandemic: Problems and Ways to Solutions

Chi Hong Leung () and Winslet Ting Yan Chan ()

Journal of Asian Scientific Research, 2022, vol. 12, issue 2, 62-69

Abstract: Since the novel coronavirus 2019 (COVID-19) outbroke a global pandemic, nearly 2.5 years of adapting to lockdown, isolation, separation and masking up has tremendous shift in our social and daily life. Face covering is imperative to prevent infection and slow the spread of COVID-19, it hinders communication by reducing one’s ability to recognize and interpret the facial expression and emotion of whom we are interacting. Specifically, face coverings would hinder children’s learning ability and varies development, including cognitive, speech, emotions and social interaction. A survey was conducted to collect primary data about 1) students’ ability to recognize emotions of masked faces and 2) students’ perception on teaching performance when teachers’ mouth and facial expression are hidden away. Survey results found that among six fundamental emotions (surprise, sadness, fear, happiness, anger and disgust), disgusted and happy expressions are relatively difficult to be recognized correctly compared with other emotional expressions. The survey also found that facial expressions of a teacher make teaching more interesting and engaging. Lack of facial expression makes both teaching and learning inefficient. Finally, this paper suggested that teachers may put more emphasis on other non-verbal communications to alleviate the problem.

Keywords: COVID-19 pandemic; Teacher’s facial expression; Non-verbal communication; Emotion recognition. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://archive.aessweb.com/index.php/5003/article/view/4492/6897 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:asi:joasrj:v:12:y:2022:i:2:p:62-69:id:4492

Access Statistics for this article

More articles in Journal of Asian Scientific Research from Asian Economic and Social Society
Bibliographic data for series maintained by Robert Allen ().

 
Page updated 2025-03-19
Handle: RePEc:asi:joasrj:v:12:y:2022:i:2:p:62-69:id:4492