ASIA-PACIFIC
REVIEW OF RESEARCH
IN EDUCATION
The Relationship Between COVID-19 Perceptions, COVID-19
Worries and Behavioural Changes Among the Students of
Ammartpanichnukul School in Krabi, Thailand
Pongsakorn Limna 1 (Corresponding Author),
Supaprawat Siripipatthanakul, 2 Kanchanokchon Woodeson, 3 Siriluck Chuaykam, 4
Sutithep Siripipattanakul, 5 Pichakoon Auttawechasakoon 6
English Programme (EP), Ammartpanichnukul School, Krabi, Thailand 1, 4
Native Speaker (NP) Programme, Ammartpanichnukul School, Krabi, Thailand 1, 3
Manipal GlobalNxt University, Malaysia 2 Bangkok Thonburi University, Thailand 2
Faculty of Education, Kasetsart University, Thailand 5 Thai Studies Programme, Faculty of
Humanities and Social Science, Burapha University, Thailand 6
palmlimna@gmail.com 1 drsupaprawat@gmail.com 2 vickysunthon@gmail.com 3
siriluckcat@gmail.com 4 fedustt@ku.ac.th 5 pichchakun4997@gmail.com 6
ABSTRACT
This study identifies the relationship between COVID-19 perceptions, COVID-19 worries and
behavioural changes among the students of Ammartpanichnukul School in Krabi, Thailand.
The online survey questionnaires of 392 secondary school students were employed for the
quantitative study through stratified random sampling. The collected data were analysed using
SPSS Version 27 and the PLS-SEM program. The results show that COVID-19 perceptions
are related to COVID-19 worries and behavioural changes. Moreover, COVID-19 worries
significantly mediate COVID-19 perceptions and behavioural changes among students. The
school administrators and teachers should encourage students’ perceptions of COVID-19
knowledge and preventive protocols to manage COVID-19 worries. Finally, students’
behavioural changes will incur to prevent them far from the COVID-19 pandemic in the school.
The recommendation is to expand more sampling in other schools because COVID-19
perceptions are related to COVID-19 worries and the outcome of students’ behavioural
changes.
Keywords: COVID-19, perceptions, worries, behavioural changes, student
1. INTRODUCTION
1.1. Background of the Research
Many countries continue to cope with a life-threatening viral pandemic caused by Coronavirus
Disease 2019 (COVID-19), a rapidly spreading respiratory illness (Iqbal et al., 2020). COVID19 is a new pandemic outbreak and is a highly contagious disease that has spread worldwide,
posing a serious public health risk with far-reaching consequences. All aspects of public health,
economics, social issues, travel, international trade, and education are directly and indirectly
affected (Panya et al., 2022). Along with the COVID-19 pandemic, fear and worry spread and
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grow as COVID-19 is human-to-human transmissible, associated with high morbidity, and
potentially fatal, which may heighten the perception of personal danger. Besides, bringing the
virus home to their families is one of the most serious concerns (Cori et al., 2020; SchochSpana et al., 2020; Urooj et al., 2020). People with more fear, worry, and anxiety about the
COVID-19 have higher depression and generalised anxiety (Lee & Crunk, 2020). Furthermore,
COVID-19 prevention protocols are essential to prevent the COVID-19 disease from
spreading. Governments first encouraged people to change their hygiene and social behaviours
(e.g., avoiding handshakes, washing hands more frequently, wearing a face mask, and avoiding
social gatherings). They then imposed more stringent measures, such as school closures and
stay-at-home orders. (Fetzer et al., 2020; Jandawapee et al. 2022). Adolescents with a greater
sense of personal and social responsibility are more compliant with health protocols during the
Covid-19 pandemic than adolescents with a low sense of personal and social responsibility
(Ningsih et al., 2020). Additional research is crucial to guiding a safe onsite studying while
ensuring vulnerable children's health and educational equity. The researchers must prioritise
research to plan for safe and equitable school reopening and mobilise resources for capacity
building to meet the ongoing need for universal remote public education and avoid widening
disparities (Masonbrink & Hurley, 2020). Therefore, COVID-19 perceptions, COVID-19
worries, and behavioural changes are critical in studying the relationship phenomenon in
schools.
1.2. Problem Statement
The ongoing COVID-19 pandemic is shaking not only public health governance but every
governance around the world, including education (Cori et al., 2020; Ibrahim et al., 2020). An
individual’s behaviour has changed due to the COVID-19 pandemic (Zwanka & Buff, 2021).
Some studies supported the influencing factors on behavioural changes, such as governments'
guidelines on epidemic prevention (Ahmad et al., 2020), parental stress (Ren et al., 2020), and
life satisfaction (Magson et al., 2021). Besides, some studies investigated the behavioural
changes of passengers on sustainable air transport (Song & Choi, 2020), customers’ panic
buying behaviour (Omar et al., 2021) and customers’ payment behaviour (Huterska et al.,
2021). Many studies support the perceptions, attitudes and behavioural intention during the
COVID-19 pandemic (Zhu & Deng, 2020; Guidry et al., 2021; Pan et al., 2021; SánchezCañizares et al., 2021; Zhang et al., 2021; Quan et al., 2022). Still, few studies support the
relationship of COVID-19 perceptions, COVID-19 worries and behavioural changes among
students in a secondary school. This study investigates the relationship between COVID-19
perceptions, COVID-19 worries and behavioural changes among Ammartpanichnukul
School’s students in Krabi, Thailand. It could aid school administrators and teachers to enhance
students' perceptions of COVID-19 knowledge and prevention strategies. As a result, students'
behaviour will change to keep them safe from the COVID-19 pandemic at school.
1.3. Research Objective
This study identifies the relationship between COVID-19 perceptions, COVID-19 worries and
behavioural changes among Ammartpanichnukul School’s students in Krabi, Thailand.
1.4. Research Question
Is there any relationship between COVID-19 perceptions, COVID-19 worries and behavioural
changes among Ammartpanichnukul School’s students in Krabi, Thailand, and how?
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2. LITERATURE REVIEW
2.1. COVID-19 Perceptions
Perception refers to the state of being or the process of becoming aware of something through
the senses (Given, 2008). COVID-19 perceptions are used to assess the participants'
perceptions of their response to COVID-19, such as overreaction responses (Barber & Kim,
2021). Several studies investigated people's perceptions of COVID-19, including perceived
risk (Barber & Kim, 2021), perceived threat (Abumalloh et al., 2021), and perceived
infectability (Yahaghi et al., 2022). Fear of disease was indeed based on perceived threats (i.e.,
susceptibility and severity). It was proven to be a key factor in COVID-19 action (Corrigan et
al., 2014; Weston et al., 2020). The degree of perceived infectability can also be reflected in an
individual's attitude. Perceived infectability also activated the individual's perceived
behavioural control when assessing the disease's capability and resources (Alijanzadeh &
Harati, 2021; Ullah et al., 2021). Furthermore, an increase in perceived infectability may
amplify the effects of the subjective norm. For example, when people feel threatened (i.e.,
higher perceived infectability) and don't know what to do, they may follow the advice to avoid
the community and prevent COVID-19 from spreading (Alijanzadeh & Harati, 2021).
Therefore, COVID-19 perceptions among students are critical to consider.
2.2. COVID-19 Worries
COVID-19 worries reflect the extent to which participants were concerned about the impact of
COVID-19 on the following: (1) personally contracting it, (2) dying as a result of it, (3) a family
member contracting it, (4) disruptions to own lifestyle, (5) local hospitals becoming
overwhelmed, (6) the economy entering a recession, (7) local stores running out of critical
items (such as food or medicine), and (8) family income declining (Barber & Kim, 2021).
However, increased anxiety was associated with a greater perceived likelihood of contracting
COVID-19 (Wilson et al., 2021). The high worry levels are related to modestly accepted
receiving a vaccine booster dose. Thus, public health officials should encourage scale up
educational efforts to disseminate reliable information about the different variants and provide
recommendations about receiving a vaccine booster (Alhasan et al., 2021). COVID-19 worries
among students in this study are related to indicators such as students’ worries to have COVID19 when studying onsite and worry that their friends and teachers could be infected. Moreover,
COVID-19 could disrupt their learning, decline their family’s income, vaccination’s side
effects and be concerned about the safe food in school.
2.3. Behavioural Changes in School During the COVID-19 Pandemic
Theoretical models of behavioural change attempt to explain why and how individuals or
groups change their behaviour. These theories are process-oriented and emphasise the
importance of environmental context, sociological, cultural, and psychological characteristics
in influencing the propensity to change behaviour (Oden et al., 2019). Millions of children may
be harmed by the COVID-19 pandemic, and we anticipate that the most significant impact will
be on the poorest socioeconomic groups, which are already vulnerable and disadvantaged.
However, this global crisis may also bring about positive changes (Gupta & Jawanda, 2020).
Adolescence is characterised by change. Nonetheless, in contrast to routine and predictable
socio developmental change, the COVID-19 pandemic has wreaked havoc on the lives of
adolescents across multiple domains. While adolescents are relatively safe from the health
consequences of COVID-19, physical distancing protocols implemented to prevent disease
spread pose numerous challenges to their academic and social functioning (Lessard & Puhl,
2021). Changes in educational systems have compelled schools to implement distance
education or online learning, e-learning, correspondence education, external studies, flexible
learning, and massive open online courses (MOOCs) (Aliyyah et al., 2020). COVID-19
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behavioural changes in participants indicated whether they had engaged in specific behaviours
or not. Several behavioural changes occurred: (1) increased frequency of handwashing, (2)
increased concern for cleanliness, (3) wearing mask, (4) cessation of handshaking, (5) cessation
of touching own face, (6) cessation of socialising with others, (7) cessation of public places
(such as restaurants, public transportation, libraries, or stores), and (8) complete quarantine
(Barber & Kim, 2021). Behavioural changes in this study refer to behavioural changes among
the students regarding washing their hands and using sanitiser, cleanliness, wearing a mask,
avoiding touching others, social distancing, avoiding going to a large group, always selecting
the food carefully. Also, if something changes with the students, they will tell their teachers
immediately.
2.4. Research Hypotheses Development
The evident result showed the importance of COVID-19 perceptions, COVID-19 worries and
behavioural changes. (Barber & Kim, 2021). Public initial emotional concerns can be critical
in improving public perceptions of pandemic risk and mobilising public support for preventive
measures (Khosravi, 2020). Moreover, some studies support the relationship between
perceptions, attitude, worries and intentional behaviour. It could apply to explain the link
between COVID-19 perceptions, COVID-19 worries and intentional behaviours (Sobkow et
al., 2020; Choi & Bum, 2020; Karlsson et al., 2021; Rokni, 2021; Barber & Kim, 2021).
Therefore, there is an association between COVID-19 perceptions, COVID-19 worries and
behavioural changes among school students.
H1: COVID-19 perceptions significantly impact COVID-19 worries.
H2: COVID-19 perceptions significantly impact behavioural changes.
H3: COVID-19 worries significantly impact behavioural changes.
H4: COVID-19 worries significantly mediate COVID-19 perceptions and
behavioural changes.
2.5. Conceptual Framework
Figure 1. Conceptual Framework
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3. RESEARCH METHODOLOGY
3.1. Research Method
This study adopted closed-end questionnaires (Likert's Rating Scale) in data collection. The
questionnaire items were developed by the researchers based on previous research. In the
reliability of the measurements, the alpha coefficients of Cronbach are needed to overcome all
constructs 0.70 (Sitthipon et al., 2022). The main variables in this study were all measured
using a five-point Likert Scale, with the following classifications: strongly agree with a value
of 5, agree with a value of 4, neutral with a value of 3, disagree with a value of 2, and strongly
disagree with a value of 1. The demographics of the respondents were derived from the study
conducted by Jandawapee et al. (2022). The questionnaire items in the constructs of COVID19 perceptions, COVID-19 worries, and behavioural changes were based on Barber & Kim
(2021). The measurements were proved by three experts in English teaching for Thai students
in Matthayom 4, 5 and 6. Thus, the questionnaire was valid (content and criterion validity).
3.2. Population and Sample
The population in this study was the secondary school students of Ammartpanichnukul School
in Krabi, Thailand. The sample was the students studying in Matthayom 4, 5 and 6 (upper
secondary school students) in native and English programmes. The definite population was
1,457 students (N=1,457 students). According to Krecie & Morgan (Chuan & Penyelidikan,
2006), sample size determination used the definite population. The sample size required in this
study was 304.1698 (approximately 305). Therefore, the sample size was 392 respondents
(n=392), over the minimum required of 305 participants. The sample’s age was between 15-18
years old.
3.3. Data Collection
The researchers asked for permission from the school’s director to conduct this research. The
collaborating with two English teachers had done to data distribution and collection. Data was
distributed via the self-administered online survey adopting English version questions. To
collect data, the researchers employed stratified random sampling to distribute and collect data
from students in Matthayom 4, 5 and 6 in Ammartpanichnukul School in Krabi, Thailand.
Secondary data collection and literature review was between January 25th, 2022, and February
20th, 2022. Primary data collection was from 22nd to 26th February 2022.
3.4. Data Analysis
The collected data were analysed using SPSS Version 27 and the Partial Least Squares
Structural Equation Model: PLS-SEM. Descriptive statistics were used to examine the
demographic characteristics of the respondents (frequency and percentage). Each variable's
results and questionnaire items were analysed using mean analysis and standard deviation.
Cronbach's Alpha reliability coefficient was used to assess the consistency and reliability of
the data and was set at 0.7. Factor loadings were calculated for testing the validity of the
instrument and were set at 0.6. The AVE was set at 0.5. The hypotheses were tested using PLSSEM, ADANCO 2.3 (inferential statistic).
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4. RESULTS
Table 1. Demographic Characteristics of the Respondents (n=392).
Demographics
Frequency
Percentage
Gender
Female
Male
211
181
53.8%
46.2%
Age
15 years old
16 years old
17 years old
18 years old
16
86
250
40
4.1%
21.9%
63.8%
10.2%
Education Level
Matthayom 4
Matthayom 5
Matthayom 6
94
154
144
24.0%
39.3%
36.7%
Living Situation
With family
At dormitory
338
54
86.2%
13.8%
Family Members
1 - 2 members
3 - 4 members
5 members or more
74
227
91
18.9%
57.9%
23.2%
Daily Expenses
Less than 100 baht
101 - 200 baht
201 - 300 baht
301 - 400 baht
More than 400 baht
149
157
45
19
22
38.0%
40.1%
11.5%
4.8%
5.6%
392
100%
Total
Three hundred and ninety-two (392) participants who were the upper secondary school students
(Matthayom 4, 5 and 6) of Ammartpanichnukul School, Krabi, Thailand, completed online
questionnaires. The findings revealed that most respondents were female (53.8%) had been
studying in Matthayom 4 (24.0%), Matthayom 5 (39.3%) and Matthayom 6 (36.7%). Most
students were 17 years old (63.8%), living with family (86.2%), 3 to 4 members (57.9%), and
spent between 101 and 200 baht per day. The demographics represented the secondary school
students.
4.1. PLS-SEM Results
Table 2. Factor Loadings, Cronbach’s Alpha and Average Variance Extracted (n=392).
Items
Factor
Loadings
COVID-19 Perceptions (COP)
COP1: I follow the updated news about COVID-19 every day.
(Mean=4.28, SD.=0.77)
COP2: COVID-19 protocols are necessary for school.
(Mean=4.33, SD.=0.61)
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Cronbach’s
Alpha
AVE
0.7912
0.6152
0.7517
0.7868
6-14
COP3: COVID-19 is more dangerous than flu.
(Mean=4.52, SD.=0.58)
COP4: Everyone needs the COVID-19 vaccination.
(Mean=4.62, SD.=0.53)
COVID-19 Worries (COW)
COW1: I am afraid to have COVID-19 if I learn onsite in
school. (Mean=4.31, SD.=0.82)
COW2: I worry that my friends and teachers could be infected
with COVID-19 in schools. (Mean=4.40, SD.=0.71)
COW3: COVID-19 disrupts my learning in school. (Mean=4.46,
SD.=0.65)
COW4: COVID-19 situation declines my family’s income.
(Mean=4.11, SD.=1.13)
COW5: I worry about food safety in the school.
(Mean=4.35, SD.=0.81)
COW6: I worry about the COVID-19 vaccination’s side effects.
(Mean=3.98, SD.=1.21)
Behavioural Changes (BC)
BC1: I always wash my hands and use sanitiser more often in
school during the pandemic. (Mean=4.57, SD.=0.50)
BC2: Cleanliness in school is necessary.
(Mean=4.56, SD.=0.54)
BC3: I always wear a mask at school.
(Mean=4.62, SD.=0.45)
BC4: I avoid touching others in the school.
(Mean=4.35, SD.=0.66)
BC5: I am not touching my face often.
(Mean=4.24, SD.=0.73)
BC6: Social distancing in school is essential.
(Mean=4.48, SD.=0.1)
BC7: I avoid going to a large group in school.
(Mean=4.41, SD.=0.71)
BC8: I always select the food carefully in school.
(Mean=4.52, SD.=0.56)
BC9: I will tell my teachers if something is wrong with me.
(Mean=4.55, SD.=0.51)
0.8091
0.7887
0.8440
0.5661
0.9238
0.6219
0.8189
0.8562
0.6745
0.6370
0.7921
0.7102
0.7976
0.7831
0.8000
0.7679
0.7370
0.8207
0.7995
0.8192
0.7684
Table 3. The Goodness of Model Fit (n=392).
Table 4. R-Squared (n=392).
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Table 5. Effect Overview (n=392).
Table 6. Total Effects Inference (n=392).
Figure 2. PLS-Structural Equation Model of the Study.
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COVID-19 perceptions can predict COVID-19 worries at β=0.7321, p<0.001 (two tails at
0.0000 and one tail at 0.0000). COVID-19 perceptions can predict behavioural changes at
β=0.5393, p<0.001 (two tails at 0.0000 and one tail at 0.0000). COVID-19 worries can predict
behavioural changes at β=0.3486, p<0.001 (two tails at 0.0000 and one tail at 0.0000). Overall,
COVID-19 worries significantly mediate COVID-19 perceptions and behavioural changes by
about 68.8% (R2=0.688). Therefore, H1, H2, H3 and H4 were supported.
4.2. Assumptions
Table 7. Summary of Hypothesis Testing.
5. DISCUSSION AND CONCLUSION
5.1. Discussion
The study’s PLS-SEM model confirmed the proposed conceptual framework. The findings
indicate that COVID-19 perceptions are related to COVID-19 worries and behavioural
changes. Moreover, COVID-19 worries significantly mediate COVID-19 perceptions and
behavioural changes among students. The results supported the previous research of Barber &
Kim (2021) and Khosravi (2020) that there was a relationship between COVID-19 perceptions,
COVID-19 worries and behavioural changes. Also, the findings supported the previous
research of Choi & Bum (2020), Karlsson et al. (2021), Rokni (2021), and Sobkow et al. (2020)
that there was a relationship between COVID-19 perceptions, COVID-19 worries and
intentional behaviours. Therefore, COVID-19 perceptions are significantly related to COVID19 worries and behavioural changes. COVID-19 worries significantly impact behavioural
changes. Finally, COVID-19 worries mediate COVID-19 perceptions and behavioural changes
significantly.
5.2. Conclusions
COVID-19 perceptions are related to COVID-19 worries and behavioural changes, according
to the findings. Furthermore, COVID-19 worries mediate COVID-19 perceptions and
behavioural changes in students. School administrators and teachers should encourage students'
perceptions of COVID-19 knowledge, especially COVID-19 is more dangerous than flu, and
everyone needs the COVID-19 vaccination. The students’ worries about COVID-19 disrupt
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their learning in school. Also, the students worry that their friends and teachers could be
infected with COVID-19 in schools if they learn onsite. Thus, COVID-19 vaccination and
information are necessary for the students. The practical measurements for students’
behavioural changes could be evaluated through everyone in school wearing masks, washing
their hands, and using sanitiser more often during the pandemic. Therefore, it might help school
administrators, teachers, and students cope with students’ perceptions and worries about
COVID-19. Finally, students' behaviours will change to keep them safe from the COVID-19
pandemic at school.
5.3. Research Implication
This study may assist school administrators and teachers to enhance students' perceptions of
COVID-19 knowledge and prevention strategies. As a result, students’ behavioural changes
will incur to prevent them far from the COVID-19 pandemic in the school. Furthermore, this
study added to the existing literature on the relationship between COVID-19 perceptions,
COVID-19 worries and behavioural changes. This study's findings may aid academics in
broadening their research by incorporating more potential elements. The measurements could
be used to guide future research on COVID-19 perceptions, COVID-19 worries and
behavioural changes. The researchers adopted English version questions that may be practical
tools to improve the students’ English learning skills in reading, grammar, and vocabulary.
5.4. Limitations and Recommendations
This study is self-administered via an online questionnaire. The relationship phenomenon was
explained only for the students' behavioural changes in Ammartpanichnukul School in Krabi,
Thailand. It may not cover other areas. Thus, the researchers should expand sampling to other
schools for more empirical findings of students’ behavioural changes through COVID-19
perceptions and COVID-19 worries among students. Moreover, qualitative research methods
such as interviews, observations, and focus groups may shed additional comprehensiveness on
future findings.
ACKNOWLEDGEMENT
The authors acknowledge Mr. Kitti Wichaidit, the school director, Ms. Sudarat Kaewkao, the
school deputy director, and Ms. Nuttinee Rasitanon, the head of the Guidance Department,
Ammartpanichnukul School, Krabi, Thailand.
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