Socio-demographic Characteristics of Distance Learners in
Malaysian Universities
Siti Haslina Md Harizan
1
and Mohamad Zamhari Tahir
2
1
School of Distance Education, Universiti Sains Malaysia, 11800 Pulau Pinang, Malaysia
2
College of Business, Universiti Utara Malaysia, Sintok, 06010 Kedah, Malaysia
Keywords: Distance Education, Higher Education, Lifelong Learning, Online Learning, Distance Learner.
Abstract: The advancement of digital technology has triggered a growing demand for courses offered via distance
education mode among potential students in Malaysia. As a result, the socio-demographic characteristics of
distant learners have also evolved. Therefore, this study attempts to review the literature articles regarding
socio-demographic characteristics of distance learners in Malaysia based on age, gender, ethnicity, marital
status as well as their monthly salary range. Based on the sixteen articles reviewed, it was found that the
majority of the distance learners in Malaysia are female (43.75%), having age between 30 to 39 years old
(37.5%), married (25.0%), Malay, and earning between RM1,501.00 to RM2,500.00 per month (18.75%). It
is hoped that this study will give an overview of the composition of distance education students in terms of
socio-demographic factors which may be useful for decision makers.
1 INTRODUCTION
Distance education is an option which embraces the
continuous learning concept or method that consists
of several programmes for the enhancement of
academic knowledge, professional skills, and self-
improvement that calls for the distinctive
characteristic of innovative teaching methods.
Distance learners are part-time students who interact
with the lecturers from a geographical location
outside the university and who use digital tools which
include course syllabus, project paper and
assignments as well as slides presentations, shared via
a web tool or other social media (Hakan and Güler,
2012).
Currently, many public institutions of higher
learning are offering distance educational
opportunities to prospective students, especially to
working adults, owners of businesses and those who
are self-employed. The increasing number of courses
and the numerous areas of study offered through the
distance education mode have attracted the attention
and demand of many categories of students each year
(Md Harizan, Hilmi and Atan, 2015). In addition, the
changing lifestyle over the past 10 years, especially in
terms of financial resources, time and geographic
issues among learners, have made it a necessity for a
thorough investigation of socio-demographic factors
among students who have demanded for distance
learning to be recognised as pertinent (Compora,
2003).
In Malaysia, pursuing a degree through the
distance education mode is a popular choice
especially among busy working adults because of
their learning style, time, convenience, and flexibility
as opposed to on-campus education methods (Md
Harizan et al., 2017) . These terms also have been
regularly mentioned in many other studies (Compora,
2003; Latanich, Hudson Gai, and Nonis Sarath, 2001;
Murphy, 2007; Qureshi, Morton and Antosz, 2002;
Sun, Tsai, Finger, Chen and Yeh, 2008; Torres, And
and Eberle, 2010). This has made this mode of study
very attractive because it facilitates, improves
efficiency and provides time autonomy in terms of
control over the pace, study during one’s own time
and timing of studies (Latanich et al. 2001; Qureshi et
al. 2002; Selim, 2007; Sun et al. 2008; Torres et al.
2010). Based on the current trends in the area of
distance learning, it can be explained that the level of
higher education in this country has improved by
leaps and bounds and this necessitates a
comprehensive study regarding the socio-
demographic factors of distance learners who may
contribute to the current scenario.
664
Md Harizan, S. and Tahir, M.
Socio-demographic Characteristics of Distance Learners in Malaysian Universities.
DOI: 10.5220/0008892106640669
In Proceedings of the 7th International Conference on Multidisciplinary Research (ICMR 2018) - , pages 664-669
ISBN: 978-989-758-437-4
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
Therefore, it is necessary to conduct a study which
investigates the socio-demographic characteristics of
distance learners in Malaysia, which include age,
gender, marital status, ethnicity and monthly salary
range.
2 DISTANCE EDUCATION IN
BRIEF
The terms of distance education and distance learning
have been widely used in academic circles and have
some definitions that assist in giving a succinct
explanation of this mode of study. According to
Moore, Dickson-Deane and Galyen (Moore,
Dickson-Deane and Galyen, 2011), distance
education is a method of providing facilities or access
to learning for students who are geographically
distant from institutions of higher learning. In
addition, distance education consists of flexible
delivery techniques, such as online technologies, to
cater for the differing needs of distance learners
(Dorrian and Wache, 2009). Furthermore, according
to Md Harizan, Hilmi and Atan (Md Harizan, Hilmi
and Atan, 2017), distance learners can benefit from
distance education tools such as online systems as
they are able to access the course resources quickly
while joining the course of tertiary education. The use
of social media also has an impact on this mode of
study which assists many students from all
backgrounds.
As we know, advances in the use of distance
technology (Chiam and Loo, 2015; Fátima and
Cerezo, 2014; Hakan and Güler, 2012; Karadeniz,
2009; Ng and Confessore, 2011) and changes of
delivery modes from off-line to on-line interactive
web-based courses have made a difference to the
education system, as well as changes to the profile,
needs and expectations of distance learners (Latanich
et al. 2001). George (George, 2014) and Salleh et al
(Salleh et al. 2015) have explained the background
changes of distance learners who have diverse
backgrounds in terms of experience, age, socio-
cultural factors, previous educational levels attained,
occupations, as well as learning styles. In applying for
distance education courses, it can be noted that
students from various educational backgrounds have
the desire to pursue their studies because of time
autonomy and the need to upgrade their academic or
educational qualifications due to promotional and job
enrichment requirements. This is happened as in
today's educational system, opportunities are open to
anyone with desires and qualifications regardless of
socio-demographic characteristics. Although socio-
demographic factors have changed in tandem with
current economic developments, this change should
also be taken into consideration by institutions
offering distance learning. Thus, policy makers
should also do so when considering their background
characteristics, problems in their studies, attitudes,
needs, interest, motivation, expectation, study habits
and other commitments throughout the course of
study (Salleh et al. 2015).
3 METHODOLOGY
The study involves the review of the literature articles
regarding socio-demographics profile of distance
learners in Malaysia based on past studies. The profile
is categorised into gender, age, marital status,
ethnicity, and salary range per month. To collect
primary studies, the exploratory search process
included digital libraries as well as manual search of
journals and conference proceedings. These search
databases consist of the published studies in distance
education and distance learners research.
In order to perform automatic search on the
selected libraries, the search string used was:
(“distance learning” OR “distance education”) AND
(“socio-demographic” OR “demographic”) AND
“Malaysia”. The results generated research articles
covering the period from year 2002 to 2017. The
selection process was done based on thorough reading
of the collected articles so that the most relevant
studies was selected in order to address the research
questions. The inclusion criteria is papers with a focus
on demographic profiles of distance learners or
distance education students while the exclusion
criteria is papers published before year 2001, not
written in English language, non-peer reviewed
articles such as working papers and magazines and
papers not related to socio-demographic profile of
distance learners or distance education students.
4 CURRENT SCENARIOS IN
MALAYSIAN DISTANCE
EDUCATION
Distance education in Malaysia is a very popular
mode of study among adults especially those who
have permanent jobs. Despite the availability of a
plethora of studies investigating various scopes of
study and important aspects related to distance
education, less emphasis has been placed on socio-
Socio-demographic Characteristics of Distance Learners in Malaysian Universities
665
demographic profiles of distance education students.
In particular, studies on socio-demographic are
significant within Malaysian distance education
context. Therefore, in order to develop a framework
or model of the distance education system, socio-
demographic studies are important to improve the
existing education systems in order to meet current
needs. The aim is to explore the socio-demographic
of distance learners based on their age, gender,
marital status, ethnicity and salary range per month.
In fact, socio-demographic factors have also affected
the use of technology or tools employed in distance
education as reviewed by Ng and Tan (Ng and Tan,
2017), which may have some effects in terms of the
accessibility to the system, preferred communication
technology and course content.
The School of Distance Education (SDE),
Universiti Sains Malaysia is the pioneer of the off-
campus programme since it was established in 1971.
Since 1996, it has become one of the renowned
centres of study in Malaysia. Most of the lecturers in
SDE have the PhD qualification and are involved in
managing courses for each academic session. SDE
utilizes a blended learning approach, which takes into
account pedagogical and cost-effective ways, in line
with the rapid growth in information and
communication technology (ICT). It can be noted that
the internet has become the driveway for all distance
learners to access all the information, online learning
aids as well as discussion groups (Islam, Abdul
Rahim, Chee Liang and Momtaz, 2011). In addition
to the SDE in USM, other public and private
universities such as Open University Malaysia
(OUM), Universiti Teknologi Malaysia (UTM),
Universiti Putra Malaysia (UPM) and Wawasan Open
University (Md Harizan, Hilmi, & Atan, 2015) are
also offering distance learning programme in various
fields of study. University Technology Mara (UiTM)
Shah Alam which is the oldest and largest public
institution of higher learning in Malaysia also offers
distance learning programmes with the aim of
providing opportunities for the working population in
Malaysia to further their study as the key to socio-
economic development (Hashim, Ahmad and
Abdullah, 2010).
5 RESULTS AND FINDINGS ON
THE DEMOGRAPHICS OF THE
STUDENTS
This paper illustrates the demographic conditions of
students who are studying through the distance
learning mode in Malaysia based on recent studies.
Sixteen articles were finally collected and analysed.
In fact, most of these distance education students are
female students (Amoozegar, Daud, Mahmud and
Jalil, 2017; Chiam and Loo, 2015; Md Harizan et al.
2017) which is formed by 43.75% of the total articles
reviewed. Previous studies also show that most of
them are between 30 and 39 years old formed by
37.5% of the total articles reviewed (Chiam and Loo,
2015; Ismail, Gunasegaran, Koh and Idrus, 2010; Md
Harizan et al. 2017; Raghavan and Kumar, 2008;
Rasid and Zin, 2012; Rosli, Ismail, M. Idrus and Abu
Ziden, 2010) and married (formed by 25.0% of the
total articles reviewed) (Chiam and Loo, 2015; Md
Harizan et al. 2017; Raghavan and Kumar, 2008;
Rasid and Zin, 2012). In terms of ethnicity, most
distance education students are Malay students
(formed by 43.75% of the total articles reviewed)
(Chiam and Loo, 2015; Islam et al. 2011; Md Harizan
et al. 2017; Raghavan and Kumar, 2008; Rasid and
Zin, 2012) followed by Chinese and Indians.
However, only a few studies have taken the salary
range among distance education students in Malaysia
into account. The study conducted by Md Harizan et
al (Md Harizan et al. 2017) shows that most of its
respondents (formed by 6.25% of the total articles
reviewed) having a monthly salary of approximately
RM2,501.00 and RM3,500.00 while studies by
Ghani, Said, and Nasir; Ismail et al; Raghavan and
Kumar (Ghani, Said, and Nasir, 2008; Ismail et al.
2010 and Raghavan and Kumar, 2008) have
discovered that distance learners were in the middle-
income category earning from RM1,501.00 to
RM2,500.00 per month (formed by 18.75% of the
total articles reviewed).
In the study of Islam et al (Islam et al. 2011), 100
questionnaires were distributed among a sample
population and it should be noted that the response
rate for this study was 80%. Based on the feedback
received, it is clear that that there were more female
students as they made up about 78.8% of total
respondents while only 21.2% of the respondents
were male students. According to this study, a
majority of the respondents were relatively young as
they were between the ages of 21 and 23 years, which
formed 58.8% of the total respondents. It should be
noted that 46.3% of the respondents were Malays who
made up nearly half of the total number of
respondents followed by Indians (37.5%) and
Chinese (16.3%).
In the findings of Md Harizan et al (Md Harizan
et al. 2017), 88.8% of the randomly selected
respondents for this study were single while in the
study of Chiam and Loo (Chiam and Loo, 2015), the
ICMR 2018 - International Conference on Multidisciplinary Research
666
researchers obtained a total of 320 respondents
between the ages of 28 and 72 years old with a mean
of 35 years old. Based on the study, the researchers
discovered that the respondents' gender distribution
was 36.9% for male students and 63.1% for female
students. The majority of respondents were Malay
(66.3%), followed by Chinese (19%), Indians
(11.3%), and others (3.4%). It was observed that
50.9% of the respondents were married while 42.54%
were single.
Another study of Md Harizan et al (Md Harizan
et al. 2017) which involved 226 respondents
representing a 56.5% response rate that is reasonable.
Based on the demographic information obtained,
most of the students were female (62.4%), married
(53.1%), and Malay (72.1%). It was also found that
the respondents consistedof adults aged between 25
and 34 years old (65.0%) and who had a monthly
salary range between RM2001.00 and RM3000.00
(38.9%). Raghavan and Kumar’s study involved a
large number of respondents with a total of 454 valid
responses or a 83% return rate from the total of 550
questionnaires sent to the selected distance learners at
the Open University Malaysia (Raghavan and Kumar,
2008). This study found that 55.5% of respondents
were female, compared to males (44.5%). Three
hundred and fifty-four students (78%) were young
adults below the age of 39 years old. The survey also
showed that 69.4% of respondents were Malay,
13.2% were Chinese, 8.1% were Indian and 9.3%
were ‘other’. Most of the students were married
(78.6%). The findings also revealed that a very high
percentage of students earned less than RM3,000.00
per month (94.8%).
The study of Amoozegar et al. (Amoozegar et al.
2017) involved 303 respondents who were enrolled in
distance learning programmes. It could be seen that
190 female students participated in this study (about
63%). Respondents between 18 to 25 years old
formed the highest category (54.8%), followed by
respondents between 26 to 35 years old (35.1%).
From the study it could be gleaned that only 31.3%
were married compared to 52.2% or 158 respondents
who were single. However, no findings were
discovered regarding the monthly income of distance
learning students. Ismail et al. (Ismail et al. 2010)
maintained that there was no missing data in the
survey among 105 respondents. Most of the students
were between the ages of 30 and 39 years old
(43.8%). The study found that the respondents in the
second highest age group were between the ages of
20 and 29 years old (41.9%). The study revealed that
most of them were Malay (57.1%) and Chinese
(25.7%). From the findings, it could be surmised that
26.7% of the distance education students earned
around RM1,500.00 to RM2,000.00 per month.
Overall, the data from the survey showed that 70.6%
of respondents had a salary below RM2,500.00 per
month.
The study of Rasid and Zin (Rasid and Zin, 2012)
focused on measuring some personality styles among
adult distance education students and their attitudes
towards examinations. The response rate was
satisfactory with 746 respondents or 49.7%,
compared to their previous postal questionnaire
surveys. There were more male students (402 or
53.6%) than female students. It was noted that 608
distance education students were married (81.5%). Of
the total respondents, 70.5% were Malays, followed
by Chinese (20.8%), Indians (6.8%) and other ethnic
groups (1.9%). The study did not include the monthly
income earned bythe students.
Ghani et al. (Ghani et al. 2008) undertook a study
which involved first year students who were enrolled
in social sciences courses as the sample population. A
total of 1,500 questionnaires were distributed to the
respondents through their respective lecturers. Only
980 responses were usable despite of 65% response
rate. From the survey, it was noted that approximately
33.4% of the respondents were between the ages of
26 and 30 years while 29.1% of the respondents were
between the ages of 20 and 25 years. Only 15.4% of
respondents were above 35 years old. It was observed
that most of the respondents earned between
RM1,001.00 and RM2,000.00 per month (39.7%),
30.1% of the respondents obtained between
RM2,001.00 and RM3,500.00 per month, while
12.4% of the respondents earned between
RM3,501.00 and RM5,000.00 per month. The data
obtained showed that 5.9% of the respondents earned
more than RM5,000.00 per month. However, there
was no data regarding gender in this study. In short,
table 1 below summarises previous findings from
recent studies involving the socio-demographic
profiles of distance learners:
Table 1: The majority of demographic details based on
previous studies.
Demographic
factors
Demographic
details
Previous studies
done in Mala
y
sia
Gender Male Md Harizan et al.
(
2017
)
Female Amoozegar et al.
(2017), Chiam and
Loo (2015), Islam
et al. (2011),
Ismail et al.
(2010), Md
Harizan et al.
Socio-demographic Characteristics of Distance Learners in Malaysian Universities
667
Demographic
factors
Demographic
details
Previous studies
done in Mala
y
sia
(2017), Raghavan
and Kumar (2008),
Rosli et al.
(
2010
)
Age 20-29 Amoozegar et al.,
(2017), Ghani et al.
(2008), Islam et al.
(2011), Md
Harizan et al.
(2017)
30-39 Chiam and Loo
(2015), Ismail et
al. (2010), Md
Harizan et al.
(2017), Raghavan
and Kumar (2008),
Rasid and Zin
(2012), Rosli et al.
(
2010
)
Marital status Single Amoozegar et al.
(2017), Islam et al.
(
2011
)
Married Chiam and Loo
(2015), Md
Harizan et al.
(2017), Raghavan
and Kumar (2008),
Rasid and Zin
(2012)
Ethnicity Malays Chiam and Loo
(2015), Islam et al.
(2011), Ismail et
al. (2010), Md
Harizan et al.
(2017), Raghavan
and Kumar
(2008), Rasid and
Zin (2012), Rosli
et al. (2010)
Salary range RM1,501-
RM2,500
Ghani et al. (2008),
Ismail et al.
(2010), Raghavan
and Kumar
(
2008
)
RM2,501-
RM3,500
Md Harizan et al.
(
2017
)
6 DISCUSSION & CONCLUSION
The findings presented recent studies’ demographic
composition of the distance education population in
Malaysia. The study did not represent the whole
population as it was concerned only with distance
learners, especially in the private universities which
offer many similar courses. From the existing
information, it is clear that studies showed significant
differences between the genders. The number of
female students seems to have been higher than that
of male students. There is a tendency of those above
the age of 30 to pursue distance learning; most of
them are married and have family commitments. In
terms of ethnicity, since most of the studies were
undertaken at public institutes, it is more likely that
Malays will form the majority among students,
followed by Chinese and Indians. Most of the
students are working adults and have an income of
less than RM2,500.00 per month.
With the increasing number of distance learning
students in the country, some important issues are to
be highlighted in line with the current economic
challenges and rising cost of living. Among other
issues that can be highlighted are the unemployment
issue, course fees, and economic pressures among
students who are married or having families and
facing difficulties in obtaining financial aid in order
to cover thecosts of study. It is hoped that this study
will give an overview of the composition of distance
education students in terms of socio-demographic
factors which may be useful for decision makers.
Future studies may also look into other background
factors of distance education students such as
personality, motivation and attitude in pursuing
studies as well as comparing socio-demographic
characteristics of distance education students in other
countries. It seems to be that the economic changes
over the past decade have affected the students and
the management of institutions of higher learning
may attempt to solve the problem by offering more
courses delivered through distance learning.
ACKNOWLEDGEMENTS
We would like to thank Universiti Sains Malaysia for
sponsoring the research under the grant no.
304/PJJAUH/6313202.
REFERENCES
Amoozegar, A., Daud, S. M., Mahmud, R., & Jalil, H. A.,
2017. Exploring Learner to Institutional Factors and
Learner Characteristics as a Success Factor in Distance
Learning, 4(6), pp. 647–656.
Chiam, C. C., & Loo, S., 2015. Using Random Parameter
Logit In Open And Distance Learning (ODL)
Institutions In Malaysia. Malaysian Online Journal of
Educational Technology, 3(4), pp. 46-54.
Compora, D., 2003. Current Trends in Distance Education :
An Administrative Model. Online Journal of Distance
Learning Administration, 6(2), pp. 1–16.
Dorrian, J., & Wache, D.,2009. Introduction of an Online
ICMR 2018 - International Conference on Multidisciplinary Research
668
Approach to Flexible Learning for on-Campus and
Distance Education Students: Lessons Learned and
Ways Forward. Nurse Education Today, 29(2), pp.
157–167.
Fátima, M. De, & Cerezo, R., 2014. The Impact Of The
Calibration Judgements On Approach To Learning In
Virtual Environments. Procedia - Social and
Behavioral Sciences, 141, pp. 265–270.
George, S. S., 2014. Study Habits and Demographic
Characteristic of Women Distance Learners: A
Comparative Study. International Women Online
Journal of Distance Education, 3(4), pp. 1–11.
Ghani, E. K., Said, J., & Nasir, N. M., 2008. Determinants
of Malaysian adult learners’ distance learning. US-
China Education Review, 5(5), pp. 17–26.
Hakan, A., & Güler, İ., 2012. Social and Comprehensive
Comparison of Traditional and Distance Learning
Master Programs. Procedia - Social and Behavioral
Sciences, 31, pp. 120–123.
Hashim, R., Ahmad, H., & Abdullah, C. Z., 2010.
Antecedents of ICT Attitudes of Distance Education
Students. Turkish Online Journal of Educational
Technology, 9(1), pp. 28–36.
Islam, M. A., Abdul Rahim, N. A., Chee Liang, T., &
Momtaz, H., 2011. Effect of Demographic Factors on
E-Learning Effectiveness in A Higher Learning
Institution in Malaysia. International Education
Studies, 4(1), pp. 112–121.
Ismail, I., Gunasegaran, T., Koh, P. P., & Idrus, R. M.,
2010. Satisfaction of Distance Learners towards Mobile
Learning in the Universiti Sains Malaysia. Malaysian
Journal of Education Technology, 10(2), pp. 47–54.
Karadeniz, S., 2009. Flexible Design for the Future of
Distance Learning. Procedia - Social and Behavioral
Sciences, 1, pp. 358–363.
Latanich, G., Hudson Gail, I., & Nonis Sarath, A., 2001. A
Profile of Today’s Distance Learners: An Investigation
of Demographic and Individual Difference Variables of
Distance and Non-Distance Learners. Journal of
Marketing for Higher Education, 11(3), pp. 1.
Md Harizan, S. H., Hilmi, M.F., & Atan, H., 2017. Distance
Education as an Environmentally-Friendly Learning
Option? Empirical Evidence from Malaysia. Journal of
Humanities, Language, Culture and Business, 1(1), pp.
74–83.
Md Harizan, S. H., Hilmi, M. F., & Atan, H., 2015. Distance
Education as an Environmentally-Friendly Learning
Option. Journal of Global Business and Social
Entrepreneurship (GBSE), 1(2), pp. 1–7.
Md Harizan, S. H., Hilmi, M. F., & Atan, H., 2017.
Exploring Acceptance Towards Environmental
Sustainability of Distance Education in Malaysia.
Management of Sustainable Development, 8(2), pp. 17–
24.
Moore, J. L., Dickson-Deane, C., & Galyen, K., 2011. E-
Learning, Online Learning, and Distance Learning
Environments: Are they the same? Internet and Higher
Education, 14(2), pp. 129–135.
Murphy, E. C., 2007. Part-time Doctoral Research
Students: What the Research Says. London.
Ng, P. L., & Tan, A. K. G., 2017. Determinants of e-
Resource Usage by Open Distance Learning University
Students. Malaysian Journal of Library & Information
Science, 22(1), pp. 29–44.
Ng, S. F., & Confessore, G. J., 2011. Assessing the
Capacity for Success in Distance Learning in Malaysia.
Procedia - Social and Behavioral Sciences, 15, pp.
1742–1750.
Qureshi, E., Morton, L. L., & Antosz, E., 2002. An
Interesting Profile University Students who Take
Distance Education Courses Show Weaker Motivation
Than On Campus Students. Online Journal of Distance
Learning Administration, 5(4), pp. 1–10.
Raghavan, S., & Kumar, P. R., 2008. The Need for
Participation in Open and Dinstance Education: The
Open University Malaysia Experience, (October), pp.
77–89.
Rasid, A., & Zin, M., 2012. Adult Students’ Personalities
and Behaviours towards Examinations : A Study of
Universiti Sains Malaysia’s (USM) Distance Education
Students, 14(1), pp. 59–75.
Rosli, M., Ismail, I., M. Idrus, R., & Abu Ziden, A., 2010.
Adoption of Mobile Learning Among Distance
Education Students in Universiti Sains Malaysia.
International Journal of Interactive Mobile
Technologies (iJIM), 4(2), pp. 24–28.
Salleh, K. M., Khalid, N. H., Sulaiman, N. L., Mohamad,
M. M., & Sern, L. C., 2015. Competency of Adult
Learners in Learning: Application of the Iceberg
Competency Model. Procedia - Social and Behavioral
Sciences, 204 (November 2014), pp. 326–334.
Selim, H. M., 2007. Critical success factors for e-learning
acceptance: Confirmatory factor models. Computers
and Education, 49(2), pp. 396–413.
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D.,
2008. What drives a successful e-Learning? An
Empirical Investigation of the Critical Factors
Influencing Learner Satisfaction. Computers and
Education, 50
(4), pp. 1183–1202.
Torres, J., And, C., & Eberle, J., 2010. Student
Demographics and Success in Online Learning
Environments. Emporia State Research Studies, 46(1),
pp. 4–10.
Socio-demographic Characteristics of Distance Learners in Malaysian Universities
669