This study aims to present a case study of the role of social and academic environment on student learning and satisfaction at Hanoi University. A student satisfaction model is proposed and confirmed based on the survey data and statistic from Hanoi University students. The model was applied to identify and analyze factors which affect the final results as well as graduates’ satisfaction. Practical recommendations are then submitted to Hanoi University to improve student satisfaction.
Trang 1VAI TRÒ CỦA MÔI TRƯỜNG XÃ HỘI VÀ HỌC THUẬT
ĐỐI VỚI HỌC TẬP VÀ SỰ HÀI LÒNG CỦA SINH VIÊN:
MỘT NGHIÊN CỨU ĐIỂN MẪU TẠI TRƯỜNG ĐẠI HỌC HÀ NỘI
Lơng Ngc Minh, Hoàng Gia Th, Nguyn Th Minh Tin, Trn Quang Anh *
Trường Đại học Hà Nội
* Tác giả liên hệ, e-mail: anhtq@hanu.edu.vn
xem là khách hàng chính sử dụng dịch vụ giáo dục
của nhà trường Nghiên cứu về sự hài lòng của sinh
viên trong môi trường giáo dục ñại học Việt Nam có
ý nghĩa quan trọng trong việc nâng cao chất lượng
dịch vụ giáo dục ñại học của Việt Nam Bài viết này
trình bày một nghiên cứu ñiển mẫu về vai trò của
môi trường xã hội và học thuật ñối với học tập và sự
hài lòng của sinh viên tại Trường Đại học Hà Nội
Bài viết ñưa ra một mô hình sự hài lòng của sinh
viên và ñánh giá mô hình này bằng số liệu ñiều tra
khảo sát thực tế tại Trường Đại học Hà Nội Mô hình
này ñược áp dụng ñể phân tích những nhân tố ảnh
hưởng ñến kết quả học tập và mức ñộ hài lòng của
sinh viên, từ ñó ñưa ra một số kiến nghị nhằm nâng
cao chất lượng dịch vụ ñào tạo của nhà trường
Thông qua phân tích kết quả khảo sát, bài báo cũng
ñã vẽ nên một bức tranh toàn cảnh về ñánh giá của
sinh viên ñối với các hoạt ñộng của Trường Đại học
Hà Nội, phân tích các ñiểm mạnh, ñiểm yếu trong hệ
thống ñào tạo của nhà trường Đây là những thông
tin quan trọng giúp nhà trường cải tiến chất lượng
giảng dạy trong thời gian tới
T khóa: Sự hài lòng của sinh viên, mô hình
phương trình cấu trúc, hành vi của sinh viên, môi
trường học thuật, môi trường xã hội
Abstract: In higher education, students are often
viewed as the main customers who use training services; therefore research on student satisfaction model in higher education plays a meaningful and important role in improving quality of training services in Vietnam This study aims to present a case study of the role of social and academic environment on student learning and satisfaction at Hanoi University A student satisfaction model is proposed and confirmed based on the survey data and statistic from Hanoi University students The model was applied to identify and analyze factors which affect the final results as well as graduates’ satisfaction Practical recommendations are then submitted to Hanoi University to improve student satisfaction A descriptive analysis of experiment survey results has portrayed an overall picture of student evaluation of Hanoi University’s activities, pointing out the strengths, weaknesses, opportunities and challenges in the training system
of the university This is significantly important information to support the university administrators
in upgrading and improving teaching quality in the near future
Keywords: student satisfaction, structural
equation modeling, student behavior, academic environment
THE ROLE OF SOCIAL AND ACADEMIC ENVIRONMENT
ON STUDENT LEARNING AND SATISFACTION:
A CASE STUDY AT HANOI UNIVERSITY
1 Introduction
After a long period of highly centrally-planned
economy, Vietnam has changed to a
socialist-oriented market economy through a ‘doi moi’
(renewal policy) since the 1980s The national
educational system has been starting to transform
itself in the new direction where education is to
satisfy not only government organizations' demands but also other economic components' In
2005, the Vietnamese Government issued a resolution on “Innovative, fundamental and comprehensive reform of the higher education for the period of 2006-2020" (Resolution No
05/NQ-CP dated 02 November, 2005) One of the most important directions in the higher education
Trang 2reform plan is a shift from elite education to mass
education Previously, the number of universities
in Vietnam was small, mainly public universities
with limited training courses Therefore, attracting
learners or training to meet the needs of the
society has not been paid due attention to in
tertiary education in Vietnam Currently, the
number of universities in Vietnam has increased;
and the educational programs in each university
are also varied From 1990-2012 more than 200
new universities were established in Vietnam and
also the number of joint training programs with
foreign University has been rapidly increasing
The competition among the universities in
improving the quality of education and attracting
students become more evident
Investigating the role of social and academic
environment on student learning and satisfaction
is an important activity in modern higher
education The level of student satisfaction as well
as its impact factors is always considered as
important information to the management board
for making decisions Adee (1997) analyzed the
relationship between customer satisfaction and
perceived quality in higher education, he also
pointed out the importance of this relationship in
higher education environment Adee proposed a
model in which student satisfaction depends on
the disconfirmation of student expectation when
they use the education service Also, student
satisfaction has an impact on student’s decision of
re-use of this service after graduation In his
research, Voss C et al (2005) proposed a customer
satisfaction model, in which activities of human
resource management and production process
have an impact on employee satisfaction and
service quality; at the same time, employee
satisfaction and service quality have positive
impacts on customer satisfaction The paper
confirmed that this relationship exists in higher
education environment Helgesen and Nesset
(2007) studied the factors which influence student
loyalty in higher education This research
proposed a structural model which illustrates the
relationship between service quality, facilities,
university image, student satisfaction and student loyalty Alves and Raposo (2007) proposed a student satisfaction model, in which they emphasized there exists a relationship between student expectation, university image, student satisfaction and student loyalty They also pointed out that student loyalty has an impact on student behavior after their graduation, such as promoting the university or introducing the university to their friends (words of mouth) One of the problems of this model is that it draws too many relationships between model’s components This leads to the difficulty of using this model in practice, such as difficult to give suggestions to the university upon this model Lin C-P, Tsai YH (2008) analyzed data from a private school in Taiwan and confirmed a student loyalty model, in which student loyalty is influenced by perceived quality
of teaching services, perceived quality of administrative services and perceived signal of retention This work uses the perceived quality made by students as the representation of the quality of that service This work used a procedure
of Structural Equation Modeling (SEM) for data analysis (Anderson, 1988) In this model focuses
on student loyalty; therefore, the student satisfaction model is not mentioned in the model Until now, the research on the role of social and academic environment on student learning and satisfaction in the real environment of Vietnam's tertiary education is still very limited The above satisfaction models can not be applied directly to the Vietnam higher education environment because the organizational structure
in Vietnam higher education is different We need
a student satisfaction model that matches with the organizational structure of university in Vietnam,
so that the model can be practically used in Vietnam This study aims to present a case study
of the role of social and academic environment on student learning and satisfaction at Hanoi University
The major contributions of this paper are three-fold Firstly, it proposes a relevant student satisfaction model with respective hypotheses
Trang 3Then, thanks to experiment survey data from
Hanoi University students, the model is confirmed
to be appropriate Secondly, the model was
applied to analyze factors affecting students’
academic results as well as satisfaction of
graduates This is the basis to submit
recommendations to the University to improve
student satisfaction effectively Thirdly, the survey
results have portrayed an overall picture about
student evaluation of Hanoi University’s activities,
revealing strengths, weaknesses, opportunities and
challenges in the training system of Hanoi
University They are significantly important to
support university administrators in upgrading and
improving teaching quality in the near future
The rest of this paper is organized as follows
Section 2 presents research design, including
proposed hypotheses and modeling and research
methodology Section 3 analyzes descriptive
statistics of the factors in the proposed model
Section 4 discusses the model confirmation
analysis Section 5 concludes the paper and
discusses the direction for the future work
2 Research Design
2.1 Hypotheses
Higher education is a service, in which the
university provides education services and
students who are customers take advantages from
these services In the process of using education
services, students have the direct interaction with
teachers Thus, the experience with teachers such
as student - teacher interaction and teaching
methodology used in classes result in student
achievements, including knowledge and skill
development As a result, the following hypothesis
is proposed:
H1: Experience with teacher has a positive
impact on student achievement
The education programs describe the
knowledge and skill structure that teachers want to
transfer to the students Students take one of the
education programs at university under the
instruction of teachers Therefore, the education
program design and structure, as well as lesson
plans and learning activities will affect student achievement of knowledge and skill development This leads to hypothesis 2:
H2: Education program has a positive impact
on student achievement
Beside the classroom learning hours, students must also communicate with administrators in university to register the course, inquire or consult the program Moreover, facilities including classrooms, learning device is one of the important elements of the higher education environment The facilities help teachers interact with students more effectively Therefore, supportive environment such as facilities, administration social interaction in campus environment will affect student achievement, resulting in hypothesis 3:
H3: Supportive environment has a positive
impact on student achievement
Customer satisfaction is created during the customer experience of using the products or services In higher education, student satisfaction
is obtained when student feel that they achieve new knowledge and skill and personal development during their time in the university Hypothesis 4 is presented below:
H4: Student achievement has a positive impact
on student satisfaction
Customer satisfaction may lead to whether customer will continue to use this product or service or not In higher education environment, although students are one-time customers, their satisfaction of education service maybe an important reason that they continue to promote the university, introduce to their relatives and friends
to study in the university or establish cooperation between students and the university after graduation such as providing job opportunities, scholarships or research So, there comes hypothesis 5:
H5: Student satisfaction has a positive impact
on student behavior of promoting and cooperation with the university after graduation
Trang 4When student feel that they learn a lot during
their study in the university, they probably tend to
promote the university, introduce their relatives
and friends to study in the university or establish
cooperation between student and the university
too So, hypothesis 6 is made:
H6: Student achievement has a positive impact
on student behavior of promoting and cooperation
with the university after graduation
The above hypotheses are presented in the
following student satisfaction model in Figure 1: Figure 1 Student satisfaction model 2.2 Structural Equation Modeling
Figure 2 Structural equation modeling for student satisfaction model
To test these hypotheses, this paper plans to
use the Structural Equation Modeling (SEM)
approach to analyze how real data fit the proposed
model SEM is a generally statistical modeling
technique which is widely used in the science of
behavioral research It can be seen as a
combination of factor analysis, regression and
path analysis The SEM is considered to work
well with structural theory, which is presented by
the hidden elements (Anderson, 1988) Based on
the model, this paper designs student satisfaction
model with added observed variables in the form
of SEM as shown in Figure 2
The factors Teacher, Program and Support are
represented by the variables ξ1, ξ2 and ξ3,
respectively These variables are latent variables,
their values and the parameters λ and δ decide the value of the observed variable X using the following equation (1)
δ
ξ + Λ
The factors Achievement, Satisfaction and Behavior are represented by the variables η1, η2 and η3 These variables are also latent variables, their values and the parameters λ and ε make the value of the observed variable Y using the equation (2)
ε
η + Λ
Moreover, the variables ξ1, ξ2 and ξ3 are exogenous variables, while the variables η1, η2 and
η3 are endogenous variables The cause-effect relationship between these exogenous variables
Trang 5and endogenous variables are represented by the
parameters γ and ζ, and the relationships among
endogenous variables are represented by the
parameters β and ζ These relationships form the
following equation (3)
ς ξ η
Given the observed variables X, Y measured
by a survey data, the SEM will find all the
parameters which make the equations (1), (2) and
(3) best fit the survey data
2.3 Student Perceived Experience and
Satisfaction Survey
Hanoi University has conducted surveys on
graduates from all teaching in English programs
The questionnaire has been selected from list of
examining queries National Survey of Student
Engagement (NSSE) This is a testing tool to
assess participation level related to academic in
universities, colleges in Canada and the United
States Results of survey supporting administrative and supervisor teachers are measures to evaluate their own student participants The first NSSE was experimented in 1999 and there are more 1.400 universities and colleagues in Canada and the United Stated who have accepted to take part in since NSSE was first run in 2000 (National Survey of Student Engagement, 2012)
The survey questionnaire list NSSE 2013 has
19 query groups related to experience and satisfaction of student during training course in university In each questionnaire group, there are about 4 to 10 multiple choice questions Quantities
of answer options for each question are 4 or 7 After researching and considering typical features
of specialized major in Hanoi University, 9 question groups which are the most appropriate to condition and environment of Hanoi University are selected, covering 51 single questions Description of questions is shown in Table 1 below
Table 1 Groups of questions in the survey questionnaire
questions answers # of
8 Knowledge, Skills, Ability, and other characteristics (KSAO)
3 Descriptive Analysis
3.1 Data Collection and Processing
The authors have conducted a survey on
graduate students of 6 main majors which are
instructed in English including Faculty of
Information and Technology, Business Administration, Tourism Management, Accounting, Financial Banking and International Studies Department in Hanoi University 439 samples were collected Quantity of collected response of each major is presented in Table 2
Trang 6Table 2 Number of collected responses of
each major/studies
In Hanoi University, Financial Banking and
Accounting are the most crowded departments In
contrast, Tourism Management and International
Studies are the least crowded faculties In 439
collected responses, there are 94 ones which were
conducted by male and 345 ones by female Also,
this is typical gender ratio in Hanoi University
All collected responses are imported into Excel
file, where each column is labeled by a question
Each row contains an answer result of a student
Each question is notated by group of question and
its order in this group For example, in Higher
Order Learning (HOL) group, there are 5
questions, whose notation is respectively HOL1,
HOL2, HOL3, HOL4, and HOL5
Due to answer result of question group, Quality
of Social Interaction (QSI) has 7 values where as
in other group, there are only 4 answers To unify outcomes of each question group, the research has normalized value of QST queries from 1 to 7 into
1 to 4, normalization formula is as below:
2
1 +
−
= QSI
SPSS and LISREL statistical tools are used to compute the descriptive statistics, variable correlation and solving the SEM problem
3.2 Descriptive Statistics
To compute the descriptive statistics of all factors in our model, the authors replaced the values of questions in a group by the mean value
of that group For the case of KSAO, we grouped the 10 survey questions into smaller group including: English (ENG), Knowledge (KNL) and Skill (SKI), as shown in Table 3
Table 3 The groups of questions in KSAO
Group Questions in KSAO
English (ENG) KSAO1, KSAO2 Knowledge
(KNL)
KSAO3, KSAO4, KSAO8, KSAO9
Skill (SKI) KSAO5, KSAO6, KSAO7,
KSAO10 This activity can reduce the number of factors from 51 to 11 The author then assigned the groups to each factor in the model The assignment is shown in Table 4
Table 4 Assignment of questions to each factor
Teacher
(TCH) Program (PRG) Support (SUP) Achievement (ACH) Satisfaction (SAT) Behavior (BHV)
SFI, ETP HOL, RIL, PDS SEN, QSI ENG, KNL, SKI SAT1 SAT2, SAT3
Let the variables TCH, PRG, SUP, ACH, SAT
and BHV respectively represent for the factors
Teacher, Program, Support, Achievement,
Satisfaction and Behavior in our model These
variables were computed as the mean of the
groups assigned to them The authors calculated the descriptive statistics values of TCH, PRG, SUP, ACH, SAT and BHV values Collected outcomes are shown on Table 5
Trang 7Table 5 Descriptive Statistics
N Minimum Maximum Mean Std Deviation
Valid N (listwise) 410
As can be seen, in 3 factors Teacher (TCH),
Program (PRG) and Support (SUP), students give
highest rate to Support (SUP) factor – accounting
for 2.70 whereas factor Teacher (TCH) get the
lowest rate which stands for 2.46 As a result,
developing teacher team requires more focus and
attention in the near future
The descriptive statistics for different majors
are shown in Figure 3 From this Figure, we can
see that teachers in Tourism program are most highly evaluated The Business Administration and International Studies programs get highest scores while the Finance and Banking program get lowest score Students in Business Administration and Tourism programs think that they acquire the best knowledge Students from International Studies program are the most satisfied with the program
Figure 3 Descriptive statistics for different majors
4 Model Confirmation Analysis
4.1 Variables Correlation
SPSS Statistics tool was used to calculate
correlation between TCH, PRG, SUP, ACH, SAT and BHV values Collected outcomes are shown
on Table 6
Trang 8Table 6 Correlations
TCH
PRG
SUP
ACH
SAT
BHV
** Correlation is significant at the 0.01 level (2-tailed)
As can be seen on Table 6, there are some
typical features: Firstly, ACH factor has big
difference with TCH, PRG, SUP, ACH, SAT and
BHV factors The correlation has the value of 0.4
and more (Correlation with TCH factors is little
smaller but it is possible to round up 0.39 into 0.4)
Besides, SAT and BHV factor has big difference
between their correlations (0.496) Consequently,
H1, H2, H3, H4, H5 and H6 assumptions are
initially confirmed
Secondly, SAT factor does not have direct
correlations with TCH factor (0.215), PRG factor
(0.256) and SUP factor (0.310) Similarly, BHV factor
also does not have direct correlations with TCH
factor (0.218), PRG factor (0.215) and SUP factor (0.273) All correlation value is smaller than 0.4 Therefore, the correlation is the first step to state that model shown on Figure 2 is reasonable
To be clearer on the affirmative sentence of the model, the researcher will use SEM solution in the following sections
4.2 Model Confirmation
We assigned the list of observed variables (X, Y) to the factors in the SEM for student satisfaction model as follows: X11=SFI, X12=ETP, X21=HOL, X22=RIL, X23=PDS, X31=SEN,
X32=QSI, Y11=ENG, Y12=KNL, Y13=SKI,
Y21=SAT1, Y31=SAT2 and Y32=SAT3 SIMPLIS
Trang 9programming language was used to present the
SEM problem in LISREL The obtained results
after running SIMPLIS program on LISREL tool
is demonstrated in Figure 4
Figure 4 The obtained result of SEM
In this program, the maximum number of
iterations is set up at 250; however, only 35
iterations are used to get the above outcome This
means that student satisfaction model has quickly
converged to a positive result Also, it proved that
student satisfaction model and hypothesis
recommended in section 2 are highly accepted
From the resulted model in Figure 4, it can be
seen that student evaluate relationship between
teachers and students (FSI, 0.33) rather than
training method (ETP, 0.29) In term of program’s
factors HOL, RIL and PDS, student assessments
are quite the same (respectively 0.25, 0.29 and
0.27) Students evaluate facilities, administrative
procedure department (SEN, 0.37) higher than
other social interaction in university (QSI, 0.28) It
is suggested that Hanoi University should pay
more attention and effort to the improvement of
QST in the near future In terms of behavior,
students tend to be ready for promoting Hanoi University (SAT2, 0.61) rather than implementing cooperation with University Administrates (SAT3, 0.46) Possibly, when students graduate, they have not had the ideas in their mind how they will incorporate with university in the near future yet Besides, students assess English level, major knowledge and skills that they achieved are quite equivalent The statistics represent for respectively 0.32, 0.39 and 0.38 It has shown that outcome result of Hanoi University student is very good According to relationships in Figure 4, Achievement has a big influence on Satisfaction (0.4835) In other words, two factors have large correlation Therefore, effect of Satisfaction and Achievement elements on Behavior are quite similar (0.3658 and 0.3266 respectively) The main structural equation is as follow:
Support rogram
Teacher t
Achievemen = 0 3152 ∗ + 0 3226 ∗ P + 0 0977 ∗ (5)
According to equation (5), contributions of
Teacher and Program to Achievement of students
are about approximately (for example, for
Achievement are 0.3152 and 0.3226) Besides,
they are significantly higher than contribution of
Support (0.09774) In other words, to increase
level of satisfaction of student efficiently, it is
necessary to invest in improving teacher qualifications and program quality In practice, the cost of program development is much lower than the cost of human resource development; therefore, the investment on academic program is the most efficient
Trang 105 Conclusion
In this study, the researcher has reviewed the
literature related to customer satisfaction model in
higher education Based on typical features of
Hanoi University, hypotheses and student
satisfaction model were proposed Also, the SEM
method has been implemented to confirm the
student satisfaction modeling and the hypotheses
Experiment data including 439 samples was
collected by a survey of specialized major
students at Hanoi University in 2013-2014
Analyzed outcomes have shown that student
satisfaction model and the recommended
hypotheses are totally accepted
This model makes a significant contribution to
Hanoi University in explaining and clarifying the
factors that have big influence on student’s results
as well as their satisfaction to university
According to the model, contributions of teacher
team and program quality to study outcome and
student’s satisfaction are quite equivalent and
remarkable higher than contribution of supporting
manipulation In other words, to increase level of
satisfaction of student efficiently, it is essential to
invest in improving teacher qualifications and
program quality
In additions, in terms of statistics, model has
shown strength, weakness in current field of
Hanoi University Interactions between teacher
and student are evaluated more importantly than
teaching methodology of teachers Social
interactions in university have not assessed as well
as facilities or administrative procedures
department Students evaluate that they achieved
English qualification, specialized knowledge and
soft skills equally It means that graduated Hanoi
University students are comprehensive, suitable with standard output of program and meet social demands
A limitation of this paper is that the experiment data is mainly collected from survey data of students at Hanoi University In the future, the authors will expand this research to the data of the other universities in the higher education system
in Vietnam
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2 Adee A (1997) ‘Linking student satisfaction and service quality perceptions: the case of university education’ European Journal of Marketing Vol 31, no
7, pp 528~540
3 Alves H, Raposo MR (2007), Conceptual Model of Student Satisfaction in Higher Education , Total Quality Management ,2007(18), pp 571-588
4 Helgesen O, Nesset E , (2007), Images, Satisfaction and Antecedents: Drivers of Student Loyalty? A Case Study of a Norwegian University College , Corporate Reputation Review,2007, 10,
pp 38-59
5 Lin C-P, Tsai YH (2008), Modeling Educational Quality and Student Loyalty: A Quantitative Approach Based ,Quality and Quantity,2008 (42), pp 397-415
6 National Survey of Student Engagement (2012) Promoting Student Learning and Institutional Improvement: Lessons from NSSE at 13 Bloomington, IN: Indiana University Center for Postsecondary Research
7 Voss C et al, (2005) ‘Managerial choice and performance in service management - a comparison of private sector organizations with further education colleges’, Journal of Operations Management ,23(2), 179~195