Motives and Obstacles of International Students Studying in Indian University
Motives and Obstacles of International Students Studying in Indian University
ABSTRACT:- The objective of this study is to explore the factor motives and obstacles of international
students studying in Indian universities. One university is of a central university in Delhi, while the second
university is of a state university in Pune, Maharashtra, India. To answer seven research questions is: What are
the motives and obstacles of international students? Do international students male and female differences in his
or her motives and obstacles? Do international students in city and capital different in their motives and
obstacles? Do scholarship, family support, government grant and private found of international students’
payment different in their motives and obstacles? And How do international students overcome these obstacles?
Survey method was administered to 100 international students from the Delhi University and Pune University.
Results found that the international students were motive in applying academic knowledge, English
environment to India higher education and the obstacles of international students were international student fee
carried from the university students and safety in India. As well as academic knowledge and English
environment also were two significant keys to help international students overcome these obstacles.
Keywords:- study abroad, international students, Indian university, motives, and obstacles.
                                        I.       INTRODUCTION:
          As the world around us becomes increasingly globalized, colleges and universities are challenged with
the task of preparing graduates for work and life in an environment that is more interconnected than ever before,
Lisa (2012). The world, it also is getting smaller by borderless of education by navigating across various
cultures, communicate by same language but a different nation, and interact with a variety of people, culture,
religion, politics, tradition carrying people around the world come together nearer than ever. Over the next 70
years, participation in study abroad programs were seen to be moderately inconsistent due to the two World
Wars, the Vietnam War and the Cold War, Travis Roy (2014).
          Hence, improving the international competencies of university students is becoming an important goal
for both nations and universities, Manyu Li (2013). On the country level, national security and globalization
trends are “driving nations to place more importance on developing and recruiting human capital or brain power
through international education initiatives” (Knight, 2004). Currently, going to study abroad is seen as a trend
most of developing countries student who is not only to show the borderless education for the purpose of
enjoying a better- quality training but also become the main source that generates revenue for the university.
Absolutely, student ’ll find out that exact immersing in the host education system of oversea countries is a nice
way to have real experiences of student time.
         According to Indian Students Mobility Report (2016), there was a 12% rise in the flow of students
from India to the US and Canada in 2014, which grew to 17.8% in 2015- WES(2017). Ministry Of External
Affairs (2018), the number of Indian students studying abroad is growing at a faster pace than ever before,
eleven top and emerging destination countries – including the United States, Canada, Australia, Saudi Arabia,
United Ara Emirates, New Zealand, Bahrain, China, United Kingdom and Germany. Beside Indian students are
going to studying abroad, India has also warmly welcome numeral international students from a different
country in the world to study in because it, a country, has been a major position of studying base on thousands
of years until to now where is definitely a destination country of student choice to study oversea.
         According to MHRD Final report (2018), there are approximately 20,000 colleges, 42 central
universities, 275 State universities, 130 Deemed Universities and 93 Institutes of National importance in the
Indian higher education system. Undoubtedly, India is a destination of students on studying abroad making the
decision. In nearby eight years, but the number of international students comes to study in India has increased
60000
                                                                                      47575
                                                                          45424                   46144
    50000                                                     42293
                                                  39517
    40000
                                      34774
                          33151
30000 27531
    2000
       0
    10000
                                No. Foreign students         Linear (No. Foreign students)
            2010-2011 2011-2012 2012-2013 2013-2014 2014-2015 2015-2016 2016-2017 2017-2018
          Addition, in this study, aimed at investigating motivation factors that influence on a choice of a foreign
university which leads international students to choose Indian university as an education destination as well as
their obstacles when studying here.
Theoretical Background:-
          Importantly, push and pull theory Mazzarol and Soutar (2002) examine three distinct stages of
international students’ decision-making process when selecting a final study destination. In the first stage,
students must decide to study internationally, rather than locally. This can be influenced by push factors within
the home country. After a student has decided to study abroad, the second stage is to choose a host country. At this
point, pull factors of country destination become important to make one host country relatively more attractive
than others. Then, the third stage is the selection of a host institution. A variety of additional pull factors make a
particular institution more attractive than its competitors. These findings also were concerned and reviewed by
Laddawan Jianvittayakit (2012).
       Research Question:-
The study was guided by the following research questions:
         Nyaupane, Gyan P., Paris, Cody Morris and Teye, Victor (2010), were to examines the role of
motivations, travel experience, social ties and destination in the pre-trip attitude of study abroad students. The
sample for this study was a group of University of international students participated in programs at the South
Pacific or Europe. The results revealed that Social motivation emerged as the most important factor that
influences attitude toward the destinations before the trip while academic motivations and social ties also
influenced students’ destination selection for the study aboard program.
          Buesing, Wendy M (2004). Two hypotheses were tested: 1) American students are more likely
motivated to study abroad by cultural motives such as sightseeing and gaining awareness about a different
culture, and 2) International students are more likely motivated to study abroad by academic motives such as
taking classes that are not offered in his or her country. Seventy students completed a questionnaire survey.
The result was reported American students rated adventure seeking another culture as the most motivating
factors for studying abroad and family of origin were rated least motivating to them. Likewise, international
students ranked a desire to develop a sense of identity and to gain or achieve a greater sense of independence as
the most motivating factor to study as well as a family of origin were significant motivating of them. It was also
found that American students were more satisfied with the overall experience of studying abroad than international
students.
          Travis Roy(2014), with research topic: Student Perception and the Value of Studying Abroad, to
explore benefits of study abroad and to identify students’ (a) level of available programs; (b) value of the
program; and (c) its obstacles. Case study and cross-sectional design are produced by interview and
questionnaires. The findings were reported that students are seen to get more value on the personal and cultural
benefits acquired through study abroad than academic needs, and financial concern was a significant obstacle on
each of individual student. Anderson, Philip H. and Lawton, Leigh (2015). The goal of their study was to assess
the relationship between why students chose to study abroad, their choice of a program, and their intercultural
competence by employed a pre-post assessment of international students participating. The result showed that
students with higher levels of cultural competence tended to have higher motivation scores than other world
enlightenment, personal growth and career development factors.
         Lisa Loberg (2012), exploring factors that lead to participation in study abroad, the study purposed was
to address between high levels of student interest and low levels of participation by exploring factors that lead to
student participation by using a mixed methods triangulation design. Findings indicated that faculty support and
curriculum/academic integration are the important factors that lead to IS participation in study abroad.
Multidisciplinary Journal                       www.ajmrd.com                                            Page | 17
                               Motives And Obstacles Of International Students Studying In Indian University
              Population:-
      With the good conditions for the study of two regions above, Savitribai Phule Pune University And Delhi
      University are two universities, with five college student sampling, for taking population. The proposed study
      comprised a target population of international students studying in Savitribai Phule Pune University, and Delhi
      University, India.
             Sampling:-
              To questionnaire, each of them taking 10 respondents, plus the international students study in Delhi
    University included Delhi University North campus and 4 colleges belong to it, one will take 10 respondents,
    total this survey for international students is making 100 respondents (see table 1).
        SAVITRIBAI PHULE PUNE                         DELHI UNIVERSITY                    Sample of       Sample of
Sr.     UNIVERSITY                                    (Haryana State)                     Questionnaires  interview
No      (Maharashtra State)
 1        Savitribai Phule Pune        University    Delhi University                           20 IS            4 InS
          Campus,        Aundh,         Pune,        North Campus, Faculty of Art,              10 TU
          Maharashtra 411007                         Delhi, 110007
      Table 1: Sampling:-
      The IS participant characteristics detail will show below (see table 2):
                          Category                     Response( n=100)
                          Gender                       Female (n=62; 62%)
                                                       Male ( n=38; 38%)
                          Age                          18-30 (n=55; 85.9%)
                                                       30-40 (n=8; 12.5%)
                                                       More than 40 (n=1; 1.6%)
                          Region                       City (n= 32; 50%)
                                                       Capital (n= 32; 50%)
                          Major                        Business/ Economics (n =25; 39.1%)
                                                       Humanities (n= 9; 14.1%)
                                                       Social Sciences (n = 7; 10.9%)
                                                       Engineering (n= 2; 3.1%)
                                                       Health Sciences (n= 2; 3.1%)
      Multidisciplinary Journal                     www.ajmrd.com                                            Page | 18
                         Motives And Obstacles Of International Students Studying In Indian University
Descriptive statistics were determined for the independent and dependent variables in the conceptual model, as
well as the study participants. These statistics provide an overall characterization and distribution of the data.
These statistics include frequencies, means, standard deviations and ranges for the data, to know which factor
more effected than others.
One sample test was used to which variable of motives and obstacles effected to international students.
         An independent t-test was used to determine whether males and females, city and capital, scholarship
and self- finance students differ in their motives and obstacles.
Multiple analyses is calculated for check box question, to know the percentage of each of variable for how
international students overcome the obstacles.
                                             IV.      FINDINGS:
Analysis and interpretation of data objective 1.
The first research question was “What is motives and obstacles of international students?”
Observation:-
         Based on the descriptive statistics, the mean for academic knowledge factor (M = 3.93, SD = .326) and
English environment factor (M=3.90, SD=.628) were the highest and the mean for culture and religion factor
was the lowest (M = 3.40, SD = .651).
Interpretation:-
         The IS believed the academic knowledge and English environment factors as most important by the
motives, the culture and religion factor as the least important.
Observation:-
         Within the seven variables for the factor Social Experiences, the mean scores for gain self- confidence
(M = 3.70, SD = .732) was highest and the mean scores for Be more Independent (M = 3.48, SD = .810) was
lowest. The means for others were similar.
Interpretation:-
          Participants believed gain self- confidence as most important. The factor gains self-confided motivated
the international students to come studying in Indian University.
         Descriptive statistics of frequency for the social experiences variables classified as none(1%), very
little(5%), average(20%) and significant(74%), to show that number of IS believed that social experiences have
significant to motive them ( see Figure ).
Observation:-
Within the five variables for the factor Program Option, the mean scores for Available different major (M =
3.94, SD = .312) was highest and the mean scores for Campus (M = 3.85, SD = .458) was lowest. The means
for others were also high from 3.90- 3.93.
Interpretation:-
IS believed available different major as most important to affect their decided.
Figure show the descriptive statistics of frequency for the program option variables classified as none (0%),
very little(0%), average(9%), significant(89%), and very significant (2%). The program option was taken 98%
significant to IS for making choices
Observation:-
         Within the five variables for the factor Academic Knowledge, the mean scores for Fulfil major
requirements (M = 3.47, SD = .521) was highest and the mean scores for Increase my critical thinking skills (M
= 3.16, SD = .613) was lowest.
Interpretation:-
         IS believed available Fulfill major requirements factor as most important of academic knowledge
subject their decided.
Figure show the descriptive statistics of frequency for the academic knowledge variables classified as none
(0%), very little (3%), average (61%), significant(36%), and very significant (0%). To IS academic knowledge
is not much important factor to be strong effected of them.
                                             Item 4: Low Cost Living
                          Subject                     Mean        Median         Mode          SD
           1. Outside accommodation                 3.46          3.00            3          .744
           2.Hostel for international               3.69          4.00            4          .677
             Students
           3.Food                                   3.80          4.00            4          .620
           4.Others change                          3.77          4.00            4          .601
           5.Transport                              3.63          4.00            4          .720
                   Table 4.5: Descriptive Statistics for Five Variables Of Low Cost Living
Observation:-
Within the five variables for the factor Low Cost Living, the mean scores for Food (M = 3.80, SD = .620) was
highest and the mean scores for Outside accommodation (M = 3.46, SD = .744) was lowest.
Interpretation:-
IS believed variable Food as most important condition of low-cost living when studying in India. To transport
condition, they are not concern so much.
         Figure show the descriptive statistics of frequency for the low cost living factor classified as very
little(6%), average(20%), significant(68%), and very significant (6%). IS believed that low cost living also a
important condition to choose when living in India.
Observation:-
Within three variables for the factor Indian Culture, the mean scores for to know about Indian arts (M = 3.49,
SD = .718) was highest and the mean scores for. To appreciate multiple Indian religions (M = 3.30, SD = .628)
was lowest.
Interpretation:
Almost factor Indian cultures are not much influenced factor to IS.
Figure show the descriptive statistics of frequency for the culture and religion factor classified as very little
(9%), average(42%), significant(49%). IS believed that culture and religion is affected to them but not much.
Observation:-
Within four variables for the factor English Environment, the mean scores for English teaching (M = 3.88, SD =
.742) was highest and the mean scores for No change to use mother language (M = 3.64, SD = .732) was
lowest.
Interpretation:-
Factor English environment are important motive factor to IS.
Table 4.8: Descriptive Statistics for Five Variables Of Course Offering and Marketing:-
Observation:-
Within five variables for the factor Course Offering and Marketing , the mean scores for Given scholarship from
India government (M = 3.69, SD = .787) and University websites (M=3.68, SD=.777) were highest and the
mean scores for Student review advises (M = 3.55, SD = .880) was lowest.
Interpretation:
Given scholarship from India government are important motive factor to attack IS to study in India.
Figure show the descriptive statistics of frequency for the course offering, marketing factor classified as none
(3%), very little(5%), average(16%), significant(75%) and very significant (1%). IS believed that course
offering, marketing in India University and Indian Government are motived them coming India.
Observation:-
Based on the descriptive statistics, the mean for Financed concern factor (M = 3.78, SD = .579) and Language
barriers factor (M=3.76, SD=.588) were the highest and the mean for Emotional adjustment factor was the
lowest (M = 3.50, SD = .732).
Interpretation:-
The IS believed Financed concern factor and Language barriers factors as most significant obstacle factors to
them when studying in India, and Emotional adjustment factor was the less significant obstacle than others.
Interpretation:-
Factor International student fee is important obstacle factor which IS believed that it is their almost obstacle.
Figure show the descriptive statistics of frequency for the financed concern factor classified as none (1%), very
little (4%), average(12%), significant(82%) and very significant (1%). IS believed that financed concern also an
important obstacle of then when coming to India.
Observation:-
Within four variables for the factor Language Barriers, the mean scores for Teachers do not using English in
lectures (M = 3.66, SD = .607) was highest and the mean scores for Limited English study (M = 3.62, SD =
.648) was lowest. Two other factors are same mean scores(M=3.63).
Interpretation:-
IS believed that factor Teachers do not using English in lectures is important obstacle factor when they attend
the class.
Figure show the descriptive statistics of frequency for the Language Barriers factor classified as very little (5%),
average (17%), significant (75%) and very significant (3%). IS believed that Language Barriers was taken 75%
significant obstacle when coming to India.
Observation:-
Within six variables for the factor Personal Safe, the mean scores for Feeling unsafe when travelling (M = 3.66,
SD = .607) was highest and the mean scores for Feeling unconfident living in hostel (M = 3.62, SD = .648) was
lowest. Mean scores of other factors are from 3.54 to 3.34.
Interpretation:-
IS belived that one safe factor obstacle of them is travelling outside their region.
Figure show the descriptive statistics of frequency for the Personal Safe factor classified as very little (10%),
average (24%), significant(66%). IS believed that Personal Safe was one thing they are concern when coming in
India.
                                         Item 4: Emotional Adjustment
                          Subject                            Mean Median              Mode       SD
    1.Difficult to live away from the family                  3.27    3.00               4       .827
    2.Difficult to live away crush                            3.51 4.00                  4       .772
    3. Adapted Indian time                                    3.44 4.00                  4       .756
    4. Cuisine                                                3.46 4.00                  4       .717
    5.Hostel/university facilities problem                    3.33 3.00                  4       .726
    6.Different culture                                       3.23    3.00               3       .679
   Table 4.13: Descriptive Statistics for Five Variables Of Emotional Adjustment (Crush = Boyfriend/
                                                Girlfriend)
Observation:-
         Within six variables for the factor Emotional Adjustment, the mean scores for Difficult to leave crush
(M = 3.51, SD = .772) and Indian time (M = 3.44, SD = .756) were highest and the mean scores for Different
culture (M = 3.23, SD = .679) was lowest.
Interpretation:-
          Difficult to leave boyfriend/ girlfriend and Indian Time styles were two variables according to IS be
their obstacles belong to emotional adjustment.
         Figure show the descriptive statistics of frequency for the Emotional Adjustment factor classified as
none (1%), very little (11%), average (25%), significant (63%). Living far away the crush was one significant
obstacle factor of IS, and adapt to time delay styles also was one their obstacle of the time living in India.
Observation:-
Within four variables for the factor Program Quality, the mean scores for Syllabus (M = 3.66, SD = .623) was
highest and the mean scores for Timetable problem (M = 3.55, SD = .730) was lowest.
Interpretation:-
Subject syllabus quality concern was a thing which IS mentioned about their obstacles.
Figure show the descriptive statistics of frequency for the Emotional Adjustment factor classified as none(1%),
very little(33%), average(59%), significant(7%). Program Quality Concern was not so much a factor of IS when
studying in India University.
In theme of program options, there was no significant difference in scores for males (M = 3.95, SD = .353) and
females (M = 3.91, SD =.291 conditions: t (98) = .567, p = .572, two-tailed).
In theme of academic knowledge, there was no significant difference in scores for males (M = 3.29, SD = .563)
and females (M = 3.39, SD = .493 conditions: t (98) = -9.37, p = .351, two-tailed).
In theme of low-cost living, there was no significant difference in scores males (M = 3.71, SD = .731) and
females (M = 3.77, SD = .565 conditions; t (98) = -.437, p = .663, two-tailed).
In theme of Indian culture, there was significant difference in scores males (M = 3.41, SD = .708) and
In theme of English environment, there was no significant difference in scores males (M = 3.91, SD = .668) and
females (M = 3.89, SD =.579 conditions: t (98) = .192, p = .848, two-tailed).
In theme of course offering and marketing, there was no significant difference in scores males (M = 3.70, SD =
.737) and females (M = 3.73, SD = .758 conditions: t (98) = -.205, p = .838, two-tailed). See Table 3 for the
mean and standard deviation in subject areas for male and females in motive variables.
              Table 4.15: The Mean and Standard Deviation For Gender In Motives Subject.
                 Motives                Gender    N            M                 SD
Interpretation:-
In brief, the factor of motives, there was only significant difference in scores males and female in Indian culture
variable.
In theme of language barriers, there was no significant difference in scores males (M = 3.84, SD = .532) and
females (M = 3.66, SD = .645 conditions: t (98) = 1.531, p = .129, two-tailed).
In theme of personal safe, there was no significant difference in scores males (M = 3.61, SD = .593) and
females (M = 3.50, SD =
.762 conditions: t (98) = .791, p = .431, two-tailed).
In theme of emotional adjustment, there was no significant difference in scores males (M = 3.57, SD = .628)
and females (M = 3.43, SD = .846 conditions: t (98) = 947, p = .346, two-tailed).
In theme of program quality concern, there was no significant difference in scores males (M = 3.75, SD = .548)
and females (M = 3.68, SD = .674 conditions: t (98) = .558, p = .578, two-tailed). See Table 3 for the mean and
standard deviation in subject areas for male and females in obstacles variables.
Table 4.16: The Mean And Standard Deviation For Gender Obstacle Variables.
                           Obstacles               Gender          N             M            SD
                1.Financed concern                    M            56           3.83          0.49
                                                      F            44           3.70          0.67
                2.Language barriers                   M            56           3.84          0.71
                                                      F            44           3.66          0.64
                3.Personal safe                       M            56           3.61          0.59
                                                      F            44           3.50          0.76
                4.Emotional adjustment                M            56           3.57          0.62
                                                      F            44           3.43          0.84
                5.Program quality                     M            56           3.75          0.54
                                                      F            44           3.68          0.67
Interpretation:-
In the factor of obstacles, there was no significant difference in scores males and female.
An independent-samples t-test was conducted to compare the motives and obstacles for region city and capital of
IS. First, the scores for seven items of motives are examined, then five items of obstacles. All analyses passed
the assumption of homogeneity of variance, as measured by Levene’s Test.
In theme of program options, there was no significant difference in scores for city (M = 3.94, SD = .373) and
females (M = 3.92, SD = .274 conditions; t (98) = .306, p = .761, two-tailed).
In theme of academic knowledge, there was no significant difference in scores for city (M = 3.28, SD = .536)
and capital (M = 3.38, SD = .530 conditions; t (98) = -9.38, p = .351, two-tailed).
In theme of low cost living, there was no significant difference in scores for city (M = 3.70, SD = .707) and
capital (M = 3.78, SD = .616 conditions; t (98) = -.603, p = .548, two-tailed).
In theme of culture and religion, there was no significant difference in scores for city (M = 3.50, SD = .678) and
capital (M = 3.30, SD = .614 conditions; t (98) = 1.546, p = .125, two-tailed).
In theme of English environment, there was no significant difference in scores for city (M = 3.88, SD = .718)
and capital (M = 3.92, SD = .528 conditions; t (98) = -.317, p = .752, two-tailed).
In theme of course offering and marketing, there was no significant difference in scores for city (M = 3.70, SD
= .763) and capital (M= 3.72, SD = .730 conditions; t (98) = -.134, p = .894, two-tailed). See Table 3 for the
mean and standard deviation in subject areas for city and capital in motive variables.
Table 4.17: The Mean And Standard Deviation For Region In Motives Subject.
                               Motives                 Region        N          M            SD
                    1.Social experiences               city          50        3.56         .705
                                                      Capital        50        3.76         .517
                             Motives                  Region         N          M            SD
                    2.Program options                  city          50        3.94         .3.73
                                                      Capital        50        3.92         .274
                    3.Academic knowledge               city          50        3.28         .536
                                                      Capital        50        3.38         .530
                    4.Low cost living                  city          50        3.70         .707
                                                      Capital        50        3.78         .616
                    5.Culture and religion             city          50        3.50         .678
                                                      Capital        50        3.30         .614
                    6.English environment               City         50        3.88         .718
                                                      Capital        50        3.92         .528
                    7.Offer course, marketing          City          50        3.70         .763
                                                      Capital        50        3.72         .730
Interpretation:-
In brief, the factor of motives, there was no significant difference in scores city and capital.
In theme of language barriers, there was no significant difference in scores for city (M = 3.72, SD = .607) and
capital (M = 3.80, SD
= .571 conditions: t (98) = -.678, p = .499, two-tailed).
         In theme of personal safe, there was no significant difference in scores for city (M = 3.64, SD = .563)
and capital (M = 3.48, SD =.762 conditions: t (98) = 1.194, p = .235, two-tailed).
         In theme of emotional adjustment, there was significant difference in scores for city (M = 3.66, SD =
.593) and capital (M = 3.36, SD = .827 conditions: t (88.833) = 2.085, p = .040, two-tailed).
In theme of program quality concern, there was no significant difference in scores for city (M = 3.74, SD
= .487) and capital (M = 3.70, SD = .707 conditions: t (96.945) = .329, p = .743, two-tailed). See Table 3 for the
mean and standard deviation in subject areas for city and capital in obstacle variables.
               Table 4.18:The Mean and Standard Deviation for Gender In Obstacle Subject.
                           Motives              Region        N         M          SD
               1.         Fancied concern               City             50       3.88         .435
                                                       Capital           50       3.68         .683
               2.         Language barriers             City             50       3.72         .607
                                                       Capital           50       3.80         .571
               3.         Personal safe                 City             50       3.64         .563
                                                       Capital           50       3.48         .762
               4.         Emotional adjustment          City             50       3.66         .593
                                                       Capital           50       3.36         .827
               5.         Program quality               City             50       3.74         .487
                                                       Capital           50       3.70         .707
Observation:
Multidisciplinary Journal                        www.ajmrd.com                                         Page | 32
                          Motives And Obstacles Of International Students Studying In Indian University
In the factor of obstacles, there was one significant difference in scores city and capital of emotional adjustment
variable.
Interpretation:
IS living in city had different significant emotional adjustment with IS living in capital.
Program option: Participants were divided into four groups according to their payment conditions (Group 1:
scholarship; Group 2: family support; Group 3: government grant; Group 4: private found).
There was not a statistically significant difference in the Program option scores for the four payment conditions
group as determined by one-way ANOVA: F (3, 96) = 1.533, p = .211>.05. Group means and standard
deviations are presented in Table 2.
Academic knowledge: Participants were divided into four groups according to their payment conditions (Group 1:
scholarship; Group 2: family support; Group 3: government grant; Group 4: private found). It cannot calculate in
the academic knowledge scores for the four payment conditions group as determined by one-way ANOVA:
p=.000<0.5 (Levene Statistic), Robust tests of equality of means cannot be performed. Group means and
standard deviations are presented in Table 2.
Low cost living: Participants were divided into four groups according to their payment conditions (Group 1:
scholarship; Group 2: family support; Group 3: government grant; Group 4: private found). There was not a
statistically significant difference in the low cost living scores for the four payment conditions group as
determined by one-way ANOVA : p=.003<.05 (Levene’s Test), F(3, 25.76)=1.511, p=.235>.05( Robust Test).
Group means and standard deviations are presented in Table 2.
Indian Culture: Participants were divided into four groups according to their payment conditions (Group 1:
scholarship; Group 2: family support; Group 3: government grant; Group 4: private found). There was a
statistically significant difference in the social experiences scores for the four payment conditions group as
determined by one-way ANOVA : p=.001<.05 (Levene’s Test), F(3, 24.157)=3.939, p=.02<.05( Robust Test) .
Group means and standard deviations are presented in Table 2.
English environment: Participants were divided into four groups according to their payment conditions (Group 1:
scholarship; Group 2: family support; Group 3: government grant; Group 4: private found). There was a
statistically significant difference in the social experiences scores for the four payment conditions group as
determined by one-way ANOVA : F (3, 96) =4.389, p = .006<.05. Group means and standard deviations are
presented in Table 2.
Course offering and marketing: Participants were divided into four groups according to their payment
conditions (Group 1: scholarship; Group 2: family support; Group 3: government grant; Group 4: private found).
There was not a statistically significant difference in the social experiences scores for the four payment
conditions group as determined by: p=.000<.05 (Levene’s Test), F (3, 20.748) = 1.627, p =.214 >.05 (Robust
Test). Group means and standard deviations are presented in Table 4.19.
Table 4.19: The Mean and Standard Deviation for Gender In Obstacle Subject.
         Subject                     Payment                    N            M                  SD
                              Scholarship                       38          3.71               .654
1.Social experiences          Family support                    43          3.56               .666
                              Government grants                  7          3.86               .378
                              Private found                     12          3.75               .452
                              Scholarship                       38          3.84               .370
2.Program options
                              Family support                    43          3.98               .344
                              Government grants                  7          4.00               .000
                              Private found                     12          4.00               .000
                              Scholarship                       38          3.42               .599
3.Academic knowledge
                              Family support                    43          3.33               .522
                                                                 7          3.00               .000
                              Government grants
                              Private found                     12          3.25               .452
                              Scholarship                       38          3.74               .601
4.Low cost living
                              Family support                    43          3.65               .783
                              Government grants                  7          3.86               .378
                              Private found                     12          4.00               .426
                              Scholarship                       38          3.58               .552
5.Culture and religion
                              Family support                    43          3.40               .728
                              Government grants                  7          3.14               .378
                              Private found                     12          3.00               .603
                              Scholarship                       38          3.97               .636
6.English environment
                              Family support                    43          4.02               .511
                              Government grants                  7          3.29               .756
                              Private found                     12          3.58               .669
                              Scholarship                       38          3.45               .976
7.Offer course, marketing
                              Family support                    43          3.81               .546
                              Government grants                  7          3.57               .787
                              Private found                     12          3.83               .389
                       Subject                         Payment                        N         M             SD
           4.Emotional adjustment             Scholarship                        38           3.61           .679
                                              Family support                     43           3.49           .703
                                              Government grants                  7            3.71           .756
                                              Private found                      12           3.17           .937
           5.Program quality                  Scholarship                        38           3.79           .538
                                              Family support                     43           3.72           .630
                                              Government grants                  7            3.43           .787
                                              Private found                      12           3.67           .651
Observation:
        In obstacle factors, five variables were presented be not statistically significant different in four groups
of payment.
Interpretation:
IS in group payment had not difference significant obstacles when studying in IU.
                                                     Frequencies
                                 Subject                               Responses                        Percent of
                                                                       N       Percent                  Cases
                           Social experiences                          22      9.7%                     22.0%
                           Optional courses                            24      10.6%                    24.0%
                           Academic knowledge                          44      19.4%                    44.0%
       Motives             Low cost living                             32      14.1%                    32.0%
                           Culture and religion                        27      11.9%                    27.0%
                           English environment                         43      18.9%                    43.0%
                           Scholarship and marketing                   35      15.4%                    35.0%
       Total                                                           227     100.0%                   227.0%
                                                   Frequencie
                                                   s                                  35.00
               Scholarship and                     15.40%
                    marketing                                                         %
                                                                                                43.00
                                                       18.90                                    %
          English
           Cultureenvironment
                   and religion                                    27.00
                                                       %           %
                                                                             32.00
                                               14.10                         %
                      Low cost              11.90%
                                               %                                                     44.00
                                                       19.40%                                        %
               living Academic
                                           10.60               24.00
          knowledge Optional               %
                                                               %
                 courses Social
                                          9.70%
                                 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% 40.00% 45.00%
                                                         22.00%
                   experiences50.00%
Observation:-
The table show seven variable categories motives factor with percentage for each of categories is social
experiences(n=22, 9.7% and 22% case), Program options(n=24, 10.6% and 24% case), Academic
knowledge(n=44, 19.4% and 44% case), Low cost living(n=32, 14.1% and 32% case), Culture and
religion(n=27, 11.9% and 27% case), English environment(n=43, 19.9% and 43% case), Offer course,
marketing(n=35, 15.4% and 35% case).Total percent is 100% and percent case is 227%.
Interpretation:-
Scholarship and marketing (15.4%), English environment (18.9%), academic knowledge (19.4%) are three
factor more effected to motive IS overcoming these obstacle when studying in Indian University (see figure).
CONCLUSION:-
         The second objective of the research was: To find out international students male and female
different in his or her motives and obstacles. An independent-samples t-test was conducted to compare the
motives and obstacles levels for males and females of IS. The subject area of motives analysis, in theme of
culture and religion, there was significant difference in scores males (M = 3.41, SD = .708) and females (M =
3.39, SD = .579 conditions; t (98) = 1.85, p = .024, two-tailed). Additionally, there was no significant difference
in scores males and female in other motive factors. The subject area of obstacles analysis, The subject area of
obstacles analysis.
         The third objective of the research was: To find out international students in city and capital
different in their motives and obstacles. An independent-samples t-test was conducted to compare the motives
and obstacles for region city and capital of IS. The factor of motives, there was no significant difference in
scores city and capital. In the factor of obstacles, in theme of emotional adjustment, there was significant
difference in scores for city (M = 3.66, SD = .593) and capital (M = 3.36, SD = .827 conditions; t (88.833) =
2.085, p = .040, two-tailed). Other obstacle factors were no significant difference in scores city and capital.
        The fourth objective of the research was: To find out scholarship, family support, government
grant and private found of international students having different in their motives and obstacles. One-way
between four groups analysis of variance (ANOVA) was used to examined. In motive factors, IS in group
payment had difference significant motives in Indian culture; English environment factors. In obstacle factors, it
were presented be not statistically significant different in four groups of payment.
        The seven and last objective of the research was: To know international students studying in
Indian university how they overcome these obstacles.The SPSS of frequencies was conducted by multiple
respond statistic was produced Scholarship and marketing(15.4%), English environment (18.9%),academic
knowledge (19.4%) are three factor more effected to motive IS overcoming these obstacle when studying in
Indian University.
                                             MAJOR FINDINGS:-
[1].     The international students believed the factor of academic knowledge and English environment were
         most important by their motives.
[2].     The factor of gain self-confided motivated the international students to come studying in Indian
         University.
[3].     The international students believed different course levels were important factor of their motives.
[4].     The international students believed major requirements were significant factor of academic knowledge.
[5].     The international students believed factor low cost of food prizes is important condition when studying
         in India.
[6].     Factor English environment were the key motive factor to the international students.
[7].     Given scholarship from India government were important motive factor to attack the international
         students to study in India.
[8].     The international students believed financed concern factor and language barriers factors were most
         significant obstacle of them.
[9].     Factor of international student fee is important obstacle factor.
[10].    Factor of teachers do not use English in lectures is important obstacle.
[11].    Factor of safety was an obstacle.
[12].    Both factors of difficult to leave boyfriend/ girlfriend and Indian time styles were obstacles.
[13].    Subject syllabus quality concern was obstacles.
[14].    There was significant difference motive between males and female about Indian culture.
[15].    There were no significant difference obstacles between males and female.
[16].    There were no significant difference motives between student living in city and capital.
[17].    There was one significant difference obstacle between students living in city and capital about
         emotional adjustment.
[18].    It had difference significant motives in Indian culture factor; English environment factor between
         family support, private found, government grant and scholarship students.
[19].    It had not difference significant obstacle between family support, private found, government grant and
         scholarship students.
Recommendations:-
         International students is when living in India, teacher should see and touch variety amazing things in
students life, although it also has some difficult to adapt, any case it is a chance for you to treat for study and try
to solve to be more growth. Someone said that: “If you can live in India, it means you can live in any country
and anywhere in the world”. It is a fun quote, just keep going and don’t waste your time as well as your youth.
Contribution Knowledge:-
          In contribution, the present study identified several important motive factors affecting international
students’ intentions as academic knowledge and English environment as well as some obstacles of them were
safe and quality of courses. Specifically, it also offered some ideas and significant keys leading how
institutions, universities may improve and promote the Indian university programs.
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