Higher vocational college students’ learning burnout during the COVID-19 pandemic: A case study in China
International Journal of Evaluation and Research in Education (IJERE)
Vol. 12, No. 2, June 2023, pp. 684~691
ISSN: 2252-8822, DOI: 10.11591/ijere.v12i2.24057
684
Higher vocational college students’ learning burnout during the
COVID-19 pandemic: A case study in China
Shenlong Tang, Siti Zuraidah Md Osman
School of Educational Studies, Universiti Sains Malaysia, Pulau Pinang, Malaysia
Article Info
ABSTRACT
Article history:
This study examines students’ levels of learning burnout during the
COVID-19 pandemic. Learning burnout levels were also investigated about
students’ gender, hometown, family member structure, and field of major.
The study employs a random sampling survey method, with 1,098 students
from a public higher vocational college in Shandong Province, China. The
collected data was analyzed using SPSS 26. The results found that 71.5% of
students are at a moderate burnout level, 27.0% are at a low level, and only
1.5% are at a high level, and there was no high level of learning burnout on a
single item during the COVID-19 pandemic. The data showed that the levels
of learning burnout of male students, students who live in town, non-only
child students, and students majoring in science and engineering were higher
than the other group of students. There was a statistically significant
difference in the level of student learning burnout by gender, but not in the
variables of hometown, family structure, or field of major. Although studies
show that students’ learning burnout level is not affected by COVID-19,
students generally have learning burnout. Therefore, three strategies were
also put forward to reduce students' learning burnout from school.
Received Mar 6, 2022
Revised Dec 7, 2022
Accepted Jan 9, 2023
Keywords:
Chinese students
COVID-19 pandemic
Learning burnout
Strategy
Vocational colleges
This is an open access article under the CC BY-SA license.
Corresponding Author:
Siti Zuraidah Md Osman
School of Educational Studies, Universiti Sains Malaysia
11800 USM Penang, Pulau Pinang, Malaysia
Email:
1.
INTRODUCTION
Burnout was defined for the first time in the 1970s. Burnout refers to the comprehensive
psychological symptoms caused by long-term pressure and stress at work, including emotional exhaustion,
depersonalization, and diminished personal accomplishment [1]. Scholars have paid close attention to
burnout research since that time [2]–[10]. These burnouts can cause workers to experience psychological and
physical fatigue, thereby reducing work efficiency, affecting the quality of work, and adversely affecting the
people around them. Maslach et al. [11], [12] developed the Maslach burnout inventory (MBI), which was
widely used to evaluate the burnout level of workers. According to different scenarios and measurement
objects, MBI has developed three different versions, namely: i) MBI human service survey (MBI-HSS)
suitable for workers in the service industry; ii) MBI educator survey (MBI-ES) suitable for school workers;
and iii) MBI general survey (MBI-GS) suitable for workers in other industries.
Learning burnout, which is derived from job burnout, is defined as a student's exhaustion of energy
due to a long-term study load, loss of interest in learning activities, indifference and emotional alienation
towards classmates, and a negative attitude towards learning due to poor performance [13]–[16]. Some
researchers regard school studies as a similar working environment [17], [18]. According to Koutsimani,
Montgomery, and Georganta [19], students may suffer from learning burnout, showing various symptoms of
Journal homepage: http://ijere.iaescore.com
Int J Eval & Res Educ
ISSN: 2252-8822
685
burnout, such as feeling exhausted, indifferent to learning, and thus unable to activate the feeling of
effectiveness. When students have no interest in education or lack motivation to learn due to learning
pressure, academic burden, and psychological factors, they will suffer from learning burnout [20], [21].
Many studies have shown that college students have different levels of learning burnout [22]–[25]. and
learning burnout will lead to a series of adverse consequences, such as anxiety and depression [26], [27], and
harmful behaviors such as skipping classes, indulging in games and dropping out of school [28], [29].
The Chinese Government emphasizes the development of higher vocational education, and the
number of higher vocational students is increasing [30]. Students learning burnout directly affects the
teaching quality of higher vocational colleges and has a long-term negative impact on China's development
plan. Investigating the students' learning burnout will help teachers master students' status and adjust
education and teaching plans in time, which has crucial practical guidance significance for improving
education and teaching quality. In addition, the COVID-19 pandemic impacts students' mental health and
their study attention [31]. However, little is known about Whether COVID-19 pandemic may have affected
students' levels of learning burnout. Therefore, this research aims to analyze the learning burnout level of
students in higher vocational colleges in China during the COVID-19 pandemic. The following are the
research questions: i) What is the level of higher vocational college students' learning burnout during the
COVID-19 pandemic?; ii) Is there a significant difference in higher vocational college students' learning
burnout according to demographic variables such as gender, hometown, family member structure, and field
of major?; and iii) What are the methods to reduce students' learning burnout?
2.
RESEARCH DESIGN
This research analyzed learning burnout among higher vocational college students during the
COVID-19 pandemic. It determined whether there was a significant difference in learning burnout according
to students' gender, hometown, family member structure, and field of major. A quantitative descriptive
research design was adopted since this research aims to use the collected quantitative data to describe
students' level of learning burnout.
2.1. Sample/participants
In this current study, participants were students from Shandong vocational college of science and
technology in 2021–2022. This study adopted the method of random sampling, and the students volunteered
to participate in the survey. Table 1 shows the distribution of the sample group.
Table 1. Summary of respondent’s demographic characteristics
Variables
Gender
Hometown
Major
Family structure
Characteristics
Male
Female
Town
City
Humanities and Social Sciences
Science and Engineering
Only child
Non-only child
N
388
710
923
175
406
692
222
876
%
35.3
64.7
84.1
15.9
37.0
63.0
20.2
79.8
2.2. Instrument
The instrument used in this study was the undergraduate learning burnout scale (ULBS). The scale’s
Cronbach’s coefficient is 0.834, with split-half reliability of 0.836, meeting the requirements of
psychometrics. The scale consists of 20 questions scored by Likert’ (...truncated)