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How social influences and work environment affect the overall experience of tefl teachers in China

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Introduction

Traditionally, the term “expatriate” was used to define individuals deployed to another country by their hiring company to work for a predefined amount of time (Holland, 2019; Ročkė, 2017). However, in recent literature, the term has been used more broadly to describe individuals who live in a country to which they are not native (McNulty & Brewster, 2017a), including those who engage in both work-related and non-work-related, international experiences (McNulty & Brewster, 2017b). According to Bonache et al. (2017), expatriation is not a new concept. However, due to globalisation, there has been a distinct rise in the number of expatriates worldwide (Massey, 2016). One industry that relies heavily on expatriates is the TEFL (teaching English as a foreign language) industry.

Background

Yim and Ahn (2018) define TEFL in terms of a native English-speaking individual teaching the English language to a non-native English speaker. The TEFL industry is growing rapidly, and in 2020 had an estimated market value of $200 billion (The TEFL Academy, 2020), with approximately 500,000 foreign TEFL teachers in China alone (Maxwell, 2019; Quinn, 2019).

With specific reference to China, there are certain requirements for working as a TEFL teacher. The applicant must be a fluent English speaker (i-to-I, 2020); have a 120+ hour TEFL certification, or some variation thereof (i-to-I, 2020); have a clear national criminal background check and a clean bill of health from a licensed doctor (Reach to Teach, 2020); and hold a bachelor’s degree in any field (Taleb-Agha, 2020). Additionally, while not a requirement, it is preferred for the applicant to be of a younger age (20s to 30s) (The International TEFL Academy, 2020).

As is the case with any form of expatriation, the process of expatriation for TEFL teachers in China is littered with challenges (Ročkė, 2017). Challenges associated with expatriation encompass both work and personal adaptation (Ročkė, 2017), such as culture shock, work norms, missing home, healthcare systems, and language barriers. When considering TEFL teaching in China, a number of factors have been identified that have a notable influence on the overall experience of a TEFL teacher. These include the presence of an expatriation community (Hello Teacher, 2020; OpportunityChina, 2020); the potential influence of a language barrier (OpportunityChina, 2020); acceptance by locals (OpportunityChina, 2020); access to healthcare (Osborne, 2020); work conditions (King, 2018); and working hours (Hello Teacher, 2020). For the purpose of the study, these factors were grouped to form two variables that were named “social influences” and “work environment.”

Social Influences

Settersten and Thogmartin (2018) argue that all experiences should be viewed as interpersonal, as experiences usually involve other people. Moreover, it should be noted that social determinants can have a positive or negative effect on a specific experience and can have an overall effect on an individual’s lifestyle (GPI, 2016). Geher et al. (2020) maintain that the social sphere of an individual’s life should be considered as a highly important influence on his/her mental and physical health. From the literature on social influences, the following hypothesis was derived.

H 1 There is a significant relationship between social influences and the overall experience of foreign TEFL teachers who teach in China.

The presence of an expatriate community

DeVries (2017) explains that expatriates are known to form social bonds, attributed to the similarities in their situations. Ultimately these become “expat communities” (InterNations, 2020), which have been known to make the transition into a new country easier (Schmidt, 2019; Van der Laken et al., 2019). Rousseau (2020) claims that it is important for expatriates to practice traditions from their home country as this can ease the effects of culture shock and therefore contribute to a smooth transitioning into a new country. Rousseau (2020) adds that the physical celebration of a traditional day can increase the ability of expatriates to connect with fellow expatriates from their home countries, which contributes to a mutual support system. From the literature on the presence of an expatriate community, the following hypothesis was derived.

H 1a There is a significant relationship between the presence of an expatriate community and the overall experience of foreign TEFL teachers who teach in China.

The potential influence of a language barrier

A language barrier, as explained by Rani (2016), is a form of communication barrier that prevents the successful translation and understanding of information, ideas, and thoughts. Ching et al. (2017) and Zhang et al. (2017) emphasise that language barriers can present a challenge to transitioning into a new country. This is because language barriers have been found to give rise to feelings of anxiety, loneliness, confusion, and frustration (Chiona, 2017; Tenzer & Schuster, 2017).

Tenzer and Schuster (2017) are of the opinion that the influence of business language in a workplace can either hinder or facilitate the success of an expatriate. The influence of business language can be attributed to the fact that interpersonal relationships, individual adjustment, and group dynamics are all dependent on the ability to communicate. Furthermore, Tenzer and Schuster (2017) note that employees, both expatriate as well as host nationals, can have emotional reactions to language diversity in the workplace. An example of this is the expatriates’ fear of being viewed negatively or shown a lack of respect by host national co-workers due to their inability to speak the home language of the country of employment (Tenzer & Schuster, 2017; Zhang & Harzing, 2016). Furthermore, it has been observed that expatriates often show a resistance to learning the language of their host country (Zhang & Harzing, 2016), which Kolakowski (2018) as well as Soler and Marten (2019) link to the difficulty involved in learning languages. However, Mandarin and Chinese languages, in particular, have recently started to grow in popularity (Costa 2018), with many schools in America offering Mandarin and Chinese languages as a second language subject (Wang Ying, 2017). Makovsky (2014) along with Pogosyan (2017) concur that the learning of nuances and non-verbal cues associated with language are even more confusing, which can lead to misunderstanding due to cultural biases. Drucker (2017) observes that non-verbal communication accounts for half of the information conveyed through a conversation. In addition, it determines the way in which individuals send and receive information beyond words. In order to try to alleviate the language barriers for TEFL teachers, many employers include language lessons in their employment contracts for expatriate employees (Mitchell, 2019) to foster acceptance by locals. Zhang and Harzing (2016) claim that as it can take a long time to learn a language, long-term expatriates are more likely to learn the home language of the country they work in. From the literature on the potential influence of a language barrier, the following hypothesis was derived.

H 1b There is a significant relationship between the potential influence of a language barrier and the overall experience of foreign TEFL teachers who teach in China.

Acceptance by locals

Personal encounters involving interaction between locals and expatriates can have an impact on the attitudes and satisfaction of both parties (Carneiro & Eusébio, 2015). Hunt (2018) as well as Zhang et al. (2017) support Carneiro and Eusébio (2015) in maintaining that residents of a country are often of the opinion that expatriates disrupt their culture, heritage, and general day-to-day lives. Okulicz-Kozaryn and Strzelecka (2017) point out that the relationship between locals and expatriates is fragile because the negative repercussions of expatriates’ presence are considered to be high by locals, even though economic growth is appreciated. The overall experience of individuals working abroad is influenced by the degree of acceptance of expatriates by locals in the host country (OpportunityChina, 2020). However, Galloway (2019) maintains that when expatriates are respectful of the local culture and heritage residents are more inclined to be accepting of them. Sokro and Pillay (2020) agree with Galloway (2019) and add that if host national workers have positive attitudes toward expatriate co-workers and are willing to support them, then expatriates are more likely to succeed in their careers.

As indicated by Sokro and Pillay (2020), relationships between expatriates and locals both inside and outside of the workplace are important, which Mahajan and Toh (2014) attribute to the relationships’ ability to ease the transition of expatriates into a new country. Sokro and Pillay (2020) add to the debate and state that in-depth knowledge passed from a host national co-worker to an expatriate about the country and company culture can assist in expatriate adjustment. Solomon (2019) adds that adjustment to a new country can take time, and the period of adjustment will influence the expatriate’s experience of working abroad.

The dislike shown by locals of a country toward foreigners is known as “xenophobia,” which Masenya (2017) maintains is more than just dislike and, in fact, encompasses the attitudes, prejudices, and behaviour of locals who reject and disparage foreigners. Xenophobia is often manifested in the form of discriminatory behaviour, violence, and abuse. Moreover, it is rooted in locals’ feelings of superiority, lack of intercultural understanding, and the notion that foreigners impose a threat to locals in some way (Masenya, 2017). Therefore, xenophobia can have an impact on the expatriate’s experience in a foreign country. Furthermore, as explained by Kuo and Davidson (2020), due to the COVID-19 pandemic, the attitudes of host nationals in China are changing and have become less welcoming toward foreigners. From the literature on the acceptance of expatriates by locals, the following hypothesis was derived.

H 1c There is a significant relationship between acceptance by locals and the overall experience of foreign TEFL teachers who teach in China.

Access to healthcare

Healthcare can have an impact on an individual’s physical, mental, emotional, and social well-being (Foundation Health Measure Report, 2020). Moopen (2020) explains that ideally, healthcare should be accessible, affordable, and of an acceptable quality to have a positive impact on an individual’s well-being. Mogawakwe et al. (2020) as well as Moopen (2020) explain that facilities provided are often of a poor quality and are understaffed due to a lack of budget and resources, with many people having to travel far to access healthcare, which is the case in developing countries (Guettou, 2018).

Furthermore, in China specifically, healthcare can be very expensive (Pacific Prime China, 2018), and there is a difference between rural and urban facilities (Spasojevic et al., 2015). In an attempt to meet the healthcare needs of expatriate workers, who would otherwise be left without access to medical services, employers often include medical insurance in work contracts, such as those signed by TEFL teachers (Deady, 2018). From the literature on expatriate access to healthcare, the following hypothesis was derived.

H 1d There is a significant relationship between access to healthcare and the overall experience of foreign TEFL teachers who teach in China.

Work Environment

A work environment has been defined by Kitila (2017) as the physical, inter-relational and complete setting in which an individual works. Kitila (2017) as well as Oludeyi (2015) maintain that an individual’s work environment can influence his/ her job satisfaction and productivity. Additionally, Kitila (2017) posits that a good work environment can influence not only the performance, but also the behavior and attitude of an individual. Zafar et al. (2017) agree with Kitila (2017) and report that the work environment can enhance an individual’s intrinsic and extrinsic needs. From the literature on work environment, the following hypothesis was derived.

H 2 There is a significant relationship between work environment and the overall experience of foreign TEFL teachers who teach in China.

Work conditions

Working conditions are essential to any employment contract covering aspects such as the physical work conditions within the workplace and the mental demands associated with the work (The International Labour Organisation, 2020). As explained by Kelly (2019), in the teaching industry there are two distinguishable sectors, namely the private and public sector, which are notably different, each suiting different people. Both King (2018) and York (2019) insist that TEFL teachers’ work environment and overall experience in China will vary depending on whether they work in a private or public school.

It is accepted that private teaching institutions have smaller class sizes than those of public teaching institutions, allowing private-school teachers to interact in a more task-orientated manner and to build relationships with each individual student (Grossberg 2019; Mathis 2017). Mueller (2013), Mayes-Tang (2017), and Jokhio et al. (2020) claim that in larger classes, the teacher may face challenges, such as work overload, that make it impossible to provide sufficient feedback to learners. Other challenges include not having time to ensure that all students participate; dealing with a high noise level; engaging with students who have mixed abilities; and not being able to develop relationships with each student, as is possible in smaller class. In China, the roles and responsibilities of teachers in private schools differ from those in public schools. Tingley (2020) and York (2019) explain that in a private institution, the students are seen as clients, as school funding relies on student retention. Therefore, it is considered the responsibility of the teacher to create a balance between placing pressure on students to excel and ensuring students do not leave. Meador (2019) and Tingley (2020) maintain that beyond encouraging students to continue their academic journey with the school, it is the private school teacher’s role to concern him/herself with the school budget, which can include taking part in after-hours events, such as pledges, dinners, auctions, and other fundraisers. From the literature on work conditions, the following hypothesis was derived.

H 2a There is a significant relationship between work conditions and the overall experience of foreign TEFL teachers who teach in China.

Working hours

Collewet and Sauermann (2017) observe that due to countries having different labour laws concerning working hours, an individual can expect to work very different hours from country to country, and even from job to job. Agboza, Owusu, Hoedoafia and Atakorah (2017), Collewet and Sauermann (2017) as well as Okazaki, et al. (2018) all agree that working hours are related to employee productivity and satisfaction. The working hours of TEFL teachers differ depending on the school, teaching schedule, and type of institution. However, in most cases, the general norm is a ± 40-hour workweek (Mitchell, 2019). The ± 40-hour workweek week comprises ±25 hours of contact teaching time per week, during which teachers interact with students in a classroom environment (Bridge TEFL, 2020), 2.5 to 3 hours of free time, such as for lunch or children’s nap time, and ± 12 hours of administration work (Mitchell, 2019).

The choice of whether to work in a private or public teaching institution is based on the preference of each individual TEFL teacher. In fact, according to Lee and Lim (2017), a change in working hours can either cause workers to feel fatigued or increase their productivity. From the literature on working hours, the following hypothesis was derived.

H 2b There is a significant relationship between working hours and the overall experience of foreign TEFL teachers who teach in China.

Method

The study made use of a positivistic research paradigm, a descriptive research design, and non-probability sampling, more specifically, convenience sampling. The target population included TEFL teachers who were teaching in China, with the final sample consisting of 379 TEFL teacher respondents (response rate of 80.2%). The data collection method used was an online survey, and the specific measuring instrument was a web-based, self-administered questionnaire, consisting of four sections, namely Section A: Demographics; Section B: Social influences; Section C: Work environment; and Section D: Overall experience. The primary data for this study were collected in August 2020 and September 2020, which was during the time of the global COVID-19 pandemic, via 5-point Likert-scale questions. For reporting purposes, responses of 4 (positive) and 5 (very positive) were grouped as a positive overall influence, whereas responses of 2 (negative) and 1 (very negative) were grouped as a negative overall experience.

A link to the questionnaire was posted on social media platforms (Facebook, WeChat, LinkedIn, and Reddit groups) that are specifically for TEFL teachers in China. The data collected in this study were edited and coded in an Excel spreadsheet. Using STATISTICA, both descriptive and inferential statistics were calculated and then analysed/interpreted. To determine if statistically significant differences in opinions occurred, ANOVA was conducted, and where a significant difference was identified, Tukey’s test for post hoc analysis was conducted to identify specifically where the significant difference (p<0.05 or p<0.10) occurred.

The study made use of exploratory factor analysis (EFA) to ensure the construct validity of the questionnaire, whereas content validity was addressed by using of previously tested items in the questionnaire. The EFA revealed that two items within the variable “social influences” had to be deleted, and one item had to be deleted within the variable “work environment.”

The data was subjected to factor analysis using principal axis factoring and the Oblimin, with the Kaiser normalisation variation method (KMO) being utilised. The KMO values for both social influences (0.881) and work environment (0.907) were above 0.7 (Nunnally & Bernstein, 1994), indicating that the data were sufficient for EFA. Through the use of Eigenvalues cut-off of 1.0 (Kaiser, 1960), the total amount of factors that cumulatively contributed to at least 50% of the cumulative variance were identified. Using the eigenvalue cut-off of 1.0, four factors, namely expatriate community, language barrier, acceptance by locals, and access to healthcare, explained a cumulative variance of 56.14% of the variable “social influences.” Within the variable “work environment,” two factors, namely “work conditions” and “working hours,” explained a cumulative variance of 58.42%. Once the EFA had been conducted, Cronbach’s alpha coefficients were calculated for each of the remaining variables to measure their reliability.

The variables constituting the variable “social influences” presented Cronbach’s alpha values ranging from 0.81 – 0.83 and an average inter-item correlation ranging from 0.46 – 0.54, indicating that there was consistency in the values. The variables constituting the variable “work environment” presented Cronbach’s alpha values ranging from 0.77 to 0.85 and average inter-item correlations ranging from 0.41 to 0.54, indicating that there was consistency in the values. All the Cronbach’s alpha values calculated for the variables and sub-variables of the study were above the suggested 0.7 cut-off value proposed by Nunnally (1978); therefore, the measuring instrument was reliable and valid.

Results: Descriptive statistics

The data collection revealed that more than half of the respondents were male (54%), and the majority of the respondents (84%) were between the ages of 18 and 44 years.

Of the 379 respondents, 31% originated from African countries, 26% originated from American countries, 14% originated from European countries, 2% originated from North America, 1% originated from Australasia, and 25% originated from other countries, which were predominantly locations in Southern Asia, including Pakistan, Sri Lanka, Malaysia, India, Bangladesh, Philippines, Vietnam, and Indonesia.

According to the data collected, 25% of the respondents worked and resided in Beijing, 24% in Shanghai, 8% in Shenzhen, 6% in Guangzhou, 6% in Xi’an, 4% in Hangzhou, 3% in Nanjing, 3% in Chengdu and 2% in Ningbo. The remaining 19% of respondents indicated that they worked and resided in other locations, which included Asian cities and remote or online teaching.

A large proportion of the respondents (35%) had 1 year or less experience as a TEFL teacher, 32% had 2 years’ experience, 17% had 3 years’ experience, 9% had 5 years’ or more experience and 7% had 4 years’ experience. Furthermore, 54% of the respondents held a bachelor’s degree, 19% held a master’s degree, 10% held a high school education, 8% had either a trade/vocational or technical education, 4% held a college degree, 3% had other forms of tertiary education and 2% had a national diploma.

Finally, the majority of the respondents (78%) indicated that they had a 120-hour TEFL certificate and 10% indicated that they did not possess any form of TEFL teaching certificate. The remaining 12% indicated that they had another type of teaching certificate, such as a PGCE 100-hour TEFL certificate, a 150-hour CELTA certificate, or a 168-hour TEFL certificate. Lastly, 83% of the respondents indicated a positive overall experience of teaching TEFL in China.

Results: Inferential statistics

Inferential statistics were used to test the hypotheses of the study and the correlation of the items. For the purpose of the study, Spearman’s correlation coefficient was utilised to identify correlations between the variables. The correlations between the independent variables and the dependent variable as well as the sub-variables of the study are presented in Table 1 below. From Table 1, it can be seen that a strong correlation of 0.51 existed between social influences and overall experience as well as between work environment and overall experience (0.51). Therefore, Hypothesis H1 and Hypothesis H2 are supported. Additionally, the strong correlation of 0.52 that existed between the presence of an expatriate community and overall experience supports Hypothesis H1a. The moderate correlations that existed between the presence of a language barrier (0.39), access to healthcare (0.37), and overall experience also support Hypotheses H1b and H1d. However, Hypothesis H1c is rejected because of the weak correlation that existed between overall experience and acceptance by locals (0.18). Finally, Hypotheses H2a and H2b are supported by the moderate correlations that existed between work conditions (0.45), working hours (0.47), and overall experience.

Correlations between the variables of the study

Variable Overall experience Expatriate community Language barrier Acceptance by locals Access to healthcare Social influences Work conditions Working hours Work environment
Overall experience 1.00 .52* .39* .18* .37* .51* .45* .47* .51*
Expatriate community 1.00 .43* .18* .49* .73* .50* .50* .55*
Language barrier 1.00 .26* .56* .83* .48* .43* .*50
Acceptance by locals 1.00 .24* .50* .28* .23* .29*
Access to healthcare 1.00 .77* .52* .51* .55*
Social influences 1.00 .62* .57* .65*
Work conditions 1.00 .63* .88*
Working hours 1.00 .91*
Work environment 1.00
* Correlation is significant at the 0.01 level (2-tailed). For practical significance of the correlation, if correlation coefficient is <0.30: Weak correlation, 0.30-0.49: Moderate correlation, 0.50+: Strong correlation

Source: Authors’ own description, based on research results.

For the purpose of the study, a primary and secondary factor ordinal logistic regression was run to determine the effect of several positive and negative affectivity factors on the overall experience of foreign TEFL teachers in China. Table 2 presents the model fitting information for the primary factor ordinal regression conducted.

Model fit information for the primary factor ordinal regression conducted

Model Fitting Information
Model -2 Log Likelihood Chi-Square df Sig.
Intercept only 420.24
Final 282.51 137.73 6 0.00*

Link function: Logit
Marked effects (*) are significant at p < .05

Source: Authors’ own description, based on research results.

The final model was found to predict statistically and significantly the dependent variable above the intercept-only model, χ2(6) = 137.73, p < 0.00. The significant predictor was social influences, which had an influence on the overall experience of teaching TEFL in China. This is seen in Table 3, which presents the tests of model effects and parameter estimates.

Tests of model effects and parameter estimates for the primary factors

Parameter Estimates
Parameter B Std. Error Wald Chi-Square Hypothesis Test
Exp(B) - Odds Ratio Lower 95% Wald Confidence Interval for Exp(B)
df Sig. (p<. 05) Upper
Threshold [Overall experience=1.00]
9.88
1.44
47.30
1
0.00
19552
1170.20
326691.69
[Overall experience=2.00] 12.04 1.52 62.58 1 0.00 168585 8546.20 3325553.00

Social influences 1.0 0.48 4.65 1 0.03* 2.80 1.10 7.14
Work environment 0.08 0.37 0.04 1 0.84 1.08 0.52 2.25
(Scale) 1a
Dependent variable: Overall experience
Model: (threshold), social influences, work environment
Fixed at the displayed value
Marked effects (*) are significant at p < .05

Source: Authors’ own description, based on research results.

Table 3 shows that an increase in the social influences factor score was associated with an increase in the odds of the respondents’ overall experience being high (positive/very positive), with an odds ratio of 2.80 (95% CI, 1.10 to 7.14), χ2(1) = 4.65, p = 0.03. Therefore, respondents with higher social influences factor scores were 2.80 times more likely to have a more positive overall experience. Table 4 presents the model fitting information for the secondary factor ordinal regression conducted.

Tests of model effects and parameter estimates for the primary factors

Model Fitting Information
Model -2 Log Likelihood Chi-Square df Sig.
Intercept only 420.24
Final 267.42 152.82 11 0.00*

Link function: Logit
Marked effects (*) are significant at p < .05

Source: Authors’ own description, based on research results.

The final model was found to predict statistically and significantly the dependent variable above the intercept-only model, χ2(11) = 152.82, p < 0.00. The significant predictor was the presence of an expatriate community, as seen in Table 5, which presents the tests of model effects and parameter estimates.

Tests of model effects and parameter estimates for the secondary factors

Parameter Estimates
Parameter B Std. Error Wald Chi-Square Hypothesis Test
Exp(B) - Odds Ratio Lower 95% Wald Confidence Interval for Exp(B)
df Sig. Upper
Threshold [Overall experience=1.00] 10.81 1.58 46.61 1 0.00 2224.60 1104698.20
[Overall experience=2.00] 13.05 1.68 60.60 1 0.00 463320.00 17351.00 12372093.26
The presence of an expatriate community 0.81 0.32 6.58 1 0.01* 2.26 1.21 4.20
The potential influence of a language barrier 0.57 0.36 2.43 1 0.12 1.76 0.87 3.58
Acceptance by locals -0.00 0.24 0.00 1 0.99 1.00 0.62 1.59
Access to healthcare -0.50 0.30 2.83 1 0.09 0.61 0.34 1.09
Working hours -0.06 0.35 0.03 1 0.87 0.94 0.47 1.89
Work conditions 0.24 0.39 0.36 1 0.55 1.27 0.59 2.75
(Scale) 1a
Dependent Variable: Overall experience
Model: (threshold), expatriate community, language barrier, acceptance by locals, access to healthcare, working hours, work conditions
Fixed at the displayed value
Marked effects (*) are significant at p < .05

Source: Authors’ own description based on research results.

From Table 5, it can be concluded that an increase in the expatriate community factor score was associated with an increase in the odds of the respondents’ overall experience being high (positive/very positive), with an odds ratio of 2.26 (95% CI, 1.21 to 4.20). χ2(11) = 6.58, p = 0.01. Therefore, respondents with higher expatriate community factor scores were 2.26 times more likely to have a higher, or more positive, overall experience.

Discussion

With reference to the presence of an expatriate community, it can be concluded that TEFL teachers who teach in China can benefit from interacting with people who are sharing a similar experience as themselves. This affirms the opinions of Schmidt (2019) and Van der Laken et al. (2019) who explain that the presence of an expatriate community makes the transition into a new country easier, as expatriates are able to form social bonds with others in a similar situation (DeVries, 2017). Furthermore, it can be deduced that interaction with other expatriates may be linked to a deeper level of connection with other individuals.

The findings of the study relating to the potential influence of a language barrier revealed that the respondents in general felt that a language barrier did not have a negative influence on their overall experience of TEFL in China. Furthermore, while the dialect of spoken English may differ between host nationals and foreign TEFL teachers, respectful, two-way communication is still possible. This was revealed by the finding that more than half of the respondents indicated that their experience was positively influenced by the level of respect shown toward them by Chinese host nationals, even if they were unable to speak the home language of the country.

Another conclusion drawn from this study is that the attitudes of locals toward foreign TEFL teachers, both inside and outside the workplace, as well as socialising with locals, generally had a positive influence on the TEFL teachers’ overall experience in China. These findings strengthen the claims of Sokro and Pillay (2020), Mahajan and Toh (2014), and Carneiro and Eusébio (2015), who note that interaction between locals and expatriates can have a positive impact on their overall experience.

The findings revealed that the respondents felt that healthcare factors had a positive influence on their overall experience. Access to healthcare, standards of healthcare facilities, and the quality of care provided by healthcare specialists in China were satisfactory according to the study results. These findings support Moopen (2020), who claims that ideally, healthcare should be accessible, affordable, and of an acceptable quality to have a positive impact on an individual’s well-being. Finally, the conclusion was drawn that access to healthcare was facilitated by health insurance provided by the respondents’ employers and social services, which confirms the earlier statement that employers often include medical insurance in contracts signed with expatriates (Deady, 2018).

Concerning the overall working conditions of TEFL teachers in China, the findings revealed that they are reasonably good, based on the fact that the majority of the respondents indicated that their physical work environment positively influenced their overall experience as TEFL teachers in China. This finding lends support to Kitila (2017) as well as Oludeyi (2015), who maintain that an individual’s work environment can influence his/her satisfaction. Furthermore, the study revealed that TEFL teachers in China are treated well and fairly in the workplace by their employers, affirming the claim by Isaacs (2020), who notes that teachers’ roles/responsibilities and performance standards in Chinese private schools differ from those in public schools.

Finally, with reference to the specific working hours of TEFL teachers, respondents felt that the factors constituting this variable positively influenced their overall experience. Respondents reported that their total working hours and the balance between work and private time positively influenced their overall experience, leading to the conclusion that TEFL teachers live a balanced lifestyle and work schedule.

Conclusions

The study revealed that the presence of an expatriate community ensures the expatriate TEFL teachers’ smooth transition into China. Therefore, institutions hiring TEFL teachers should build such a community by encouraging team-building or other employee-centric activities amongst staff members. Additionally, institutions should provide expatriate TEFL teachers with a list of recommended expatriate sites on social media platforms where they could meet with other expatriates. Moreover, the potential TEFL teacher should proactively network with current teachers prior to arriving in the country. This could be done by joining online social media platforms designed specifically for expatriate TEFL teachers to connect with one another; examples can be found on Facebook, WeChat, LinkedIn, or Reddit.

With reference to the challenge of a language barrier, institutions should make sure that the contracts they offer TEFL teachers include language lessons in the home language of the relevant country, such as Chinese or Mandarin. Furthermore, adjustment should be made to policies so that English is the recognised business language of the school, which will encourage host nationals to communicate with each other and the expatriate co-workers in English, thereby minimising the language barrier in the workplace. In addition, since most apps from outside the country do not work in China, it may be helpful for institutions to recommend a Chinese mobile app (Zeng, 2020) that the TEFL teacher can download on arrival to facilitate the translation of words, phrases, and sentences, with the app acting as a translator. Another recommendation is that potential TEFL teachers invest in learning the basics of the language before arriving in China, so they can begin to communicate right away.

To facilitate acceptance by locals, it is recommended that institutions who hire TEFL teachers create an inclusive organisational culture to ensure that all staff members operate as a team, rather than accomplishing tasks independently. In addition, institutions should provide mentoring to their expatriate TEFL teachers, both on arrival in the form of an “orientation week” as well as continuously throughout their employment regarding acceptable interactional behavior in the country. Potential TEFL teachers should take the time to research the country and region’s culture, social behaviour/norms, communication, traditions, mannerisms, and customs prior to arrival. Moreover, once in the country, TEFL teachers should try to build relationships with locals, which will provide the opportunity to learn more about their way of life. Finally, TEFL teachers should remember that they are in the local people’s home country, and they need to be respectful of them, instead of imposing their own behavior on host nationals.

Concerning access to healthcare, to accommodate expatriate TEFL teachers, institutions should include medical insurance in their contracts. In addition, especially with regard to the current global COVID-19 pandemic, institutions should make provision for expatriate TEFL teachers to remain safe by following protocol and encouraging employees to report any symptoms. Potential TEFL teachers must thoroughly check their contracts to establish whether their employers provide medical insurance; and if not, the applicant should query this, as medical insurance in most cases is a non-monetary benefit associated with teaching TEFL in China. In addition, TEFL teachers should confirm the terms of the medical insurance provided, as in some cases the employer may stipulate that they will take a contribution from the TEFL teacher’s salary every month. If a TEFL teacher’s employer does not provide medical insurance, it is recommended that the teacher individually research healthcare packages, as medical treatment is expensive in China.

Regarding work conditions, it is recommended that institutions who hire TEFL teachers form an ideal image of the type of TEFL teacher they would like to employ and ensure that they portray this in their advertisements to attract suitable TEFL teachers. Furthermore, institutions should be specific in the wording of their advertisements to ensure that they only receive applications from teachers who could potentially be a good fit with their school. Finally, institutions must be careful not to boast only about the benefits for applicants, as this might attract TEFL teachers whose motives are purely financial. The institutions also need to be clear about specific job responsibilities and performance standard expectations. Potential TEFL teachers should conduct extensive research on the differences between private and public schools prior to applying for a position at either. Once applicants have decided which environment will best suit them, they need to ensure that they are qualified for the post, as each type of school has different requirements for employment. Should it be the TEFL teachers’ first time teaching at a private or public school, it is also recommended that they ensure that their contract provides the option to give notice to leave a position, which will give them freedom to change should the environment be unsuitable.

With respect to specific working hours, institutions hiring TEFL teachers should consider all aspects that contribute toward a balanced life for their employees and then try to provide these, without sacrificing working hours. This can be done by conducting internal research and collecting data from their employees, which will make it possible to highlight the aspects that the employees consider most important. Potential TEFL teachers must conduct extensive research on the normal working hours expected of them and then compare these to those quoted in their employment contract. It is also advisable for TEFL teachers to have the employer specify a breakdown of exactly how their working hours will be allocated. Finally, as many employment contracts contain a clause concerning overtime pay, it is recommended that all TEFL teachers keep a record of the hours they work in a month to ensure they are being compensated accordingly.

Future research should be conducted on the experience of TEFL teaching in China from the perspective of educational institutions, on the one hand, and of host nationals, on the other. In addition, due to the efects of the COVID-19 pandemic, it would be of interest to reconduct the research study described in this article when pandemic restrictions are over to compare what variables TEFL teachers in China identify as having a significant influence on their overall experience following the pandemic. Alternatively, a study could be done to establish, from the respondents’ perspective, the degree to which the pandemic has affected their experiences and modified their previous opinions of TEFL in China.