=Paper= {{Paper |id=Vol-2045/Bilisim_paper_31 |storemode=property |title= E-Devlet Hizmetlerine Gecis Icin Gereksinim Belirtimleri: Irak Egitim Bakanligi, Mesleki Egitim Genel Mudurlugu bunyesindeki Meslek Okullari Uzerine bir Vaka Calismasi (Requirements Specification for Service Transition to E-Government Services: Case study in Vocational Schools of General Directorate of Vocational Education/ Ministry of Education in Iraq) |pdfUrl=https://ceur-ws.org/Vol-2045/31_Bilisim_2017_paper_21.pdf |volume=Vol-2045 |authors=Marwah Talib,Atila Bostan,Baris Ozkan }} == E-Devlet Hizmetlerine Gecis Icin Gereksinim Belirtimleri: Irak Egitim Bakanligi, Mesleki Egitim Genel Mudurlugu bunyesindeki Meslek Okullari Uzerine bir Vaka Calismasi (Requirements Specification for Service Transition to E-Government Services: Case study in Vocational Schools of General Directorate of Vocational Education/ Ministry of Education in Iraq)== https://ceur-ws.org/Vol-2045/31_Bilisim_2017_paper_21.pdf
 Requirements Specification for Service Transiton to E-
Government Services: Case Study in Vocational Schools
of General Directorate of Vocational Education / Ministry
                  of Education in Iraq


           Marwah Mushtaq Talib                                                  Atila Bostan
    M.S, Computer Engineering Department,                         Department of Computer Engineering, Atilim
              Atilim University                                                   University
              Ankara, Turkey                                                    Ankara, Turkey
     E-mail: marwa.mushtaq@gmail.com                                      Atila.bostan@atilim.edu.tr

                                                Baris Ozkan
                      Department of Information System Engineering, Atilim University
                                              Ankara, Turkey
                                         baris.ozkan@atilim.edu.tr


                                                                  ministry, its main objective is to educate and graduate
                                                                  students in the professional and vocational fields. Despite
Özet- E-devlet terimi vatandaşlarına daha iyi hizmet              the benefits of e-government paradigm, still there is no
sağlamak amacıyla devlet birimleri tarafından bilgi               clear vision for how to adopt it in the education sector.
teknolojilerinin kullanımı olarak tanımlanabilir. Diğer           This work presents which and how e-services should be
devletler gibi Irak devleti de e-devlet hizmetlerinden            developed and deployed in Iraqi vocational schools by
faydalanmak istemektedir. Temel amacı profesyonel                 analyzing the requirements and preferences of the service
meslek alanlarında mezunlar vermek olan mesleki eğitim            contributors and consumers. We have identified eight
okulları, Eğitim Bakanlığına bağlı en büyük                       stakeholders in vocational schools and developed eight
organizasyonlardan birisi olan Mesleki Eğitim Genel               different questionnaires for each. Data were collected and
Müdürlüğü bünyesinde faaliyet göstermektedir. E-devlet            analyzed and the results were reported in this paper.
paradigmasının faydalarına rağmen, bu yaklaşımın eğitim
sektörüne nasıl uyarlanacağı konusunda net bir ön görü
mevcut değildir. Bu çalışma hizmet katılımcıları ve               Keywords—E-Government; E-Schools; Vocational
kullanıcılarının ihtiyaç ve tercihlerini analiz ederek Irak       Schools
meslek okullarında e-hizmetlerin geliştirilme ve
yaygınlaştırılması konusunda bir yöntem sunmaktadır. Biz
bu çalışmada, meslek okullarındaki hizmetler için sekiz
farklı katılımcı sınıfı belirleyerek, her bir sınıf için farklı   INTRODUCTION
anket uygulamları geliştirdik. Toplanan veriler üzerinde          Nowadays, Information and communication technologies
yapılan analiz çalışmasının sonuçları bu bildiride                (ICT) are playing a major role in our daily lives [1]. Many
sunulmuştur.                                                      governments are moving to use ICT to deliver their
                                                                  services to citizens and business. E – Government concept
Anahtar Kelimeler-- E-Devler; E-Okul; Meslek Okulları             is considered as one of ICT applications which is adopted
Abstract— E-government concept can be defined as the              by the government [2]. E-government means obtaining
use of information technology by government agencies to           government services throughout electronic means in order
deliver services to the citizens in a better way. Iraqi           to access to government information and perform
government like other governments tried to benefit from e-        government transactions any where any time [3]. It is
government services. Vocational schools are one of the            considered as a mean to efficiently and effectively
formations affiliated to the Ministry of Education in Iraq        improve the performance and the transparency of the
and specifically to the General Directorate of Vocational         government. Iraqi government has taken serious moves to
Education which is one of the largest directorates in this        adopt e-government project. These projects has a great
                                                                  importance in the elimination of administrative routine,
simplification of procedures in government transactions, as    institute in education sector, provide financial resources to
well as the elimination of long queues of citizens in          promote the e-government project, provide electricity for
government departments and reduce the corruption and           the whole country, proper framework should be
extortion.                                                     established to apply e-governance project and strength ICT
 Education sector is considered one of the largest in the      in the education system in Bangladesh.
country; Ministry of Education is one of the vital
                                                               Another study examines the factors affecting the adoption
ministries serving a large segment of the Iraqi society.
                                                               of e-government education sites by teachers in primary
Ministry of Education has 30 general directorates each one
                                                               and secondary schools in Greece [5].The study implied
of them is responsible for delivering certain type of
                                                               that the government should take into consideration the
services. General Directorate of Vocational Education is
                                                               needs of the user, enhance the services provided and
one of the biggest directorates; its main objective is to
                                                               provide adequate training to deal with e-government
educate and train students in craft and professional fields
                                                               applications.
like electronic, mechanic, computer, agriculture, water
                                                               In China, transforming working style and improving the
purification, maintenance of elevators, nursing and trading.
                                                               quality and efficiency of the work, has made universities
Despite the benefits of e-government paradigm, still there
                                                               and colleges move to the construct of e-government
is no clear vision for how to adopt it in the education
                                                               applications [6].The study implied that the evaluation on
sector in Iraq. This research is intended to present which
                                                               educational e-government should focus on the
and how e-services should be developed and deployed in
                                                               “performance” not on the “output”. To ensure having high
Iraqi vocational schools by analyzing the requirements and
                                                               performance, verification and evaluation methods with
preferences of the service contributors and consumers. The
                                                               qualitative index must be applied. The results showed that
contribution of this study is to propose a modular e-
                                                               “information infrastructure” has the heaviest weight and
services development design with module prioritization
                                                               must be implemented at the first, while “safety” is
and plausible transition path to e-environment for
                                                               considered as the least important item.
vocational schools in Iraq. Until recently, all
                                                               Mohammed M. and et al. [7] addressed the issue of the
administrative work is conducted on paper, when students
                                                               centralization of the higher education in Iraq. Each
want to register, get the exam number, set a transcript
                                                               university is isolated from the others and they
request … etc. they have to come to school to do the
                                                               communicate with the Ministry of Higher Education only.
paper work , The procedure is not different for teachers as
                                                               To avoid this limitation, architecture presented to integrate
well, when they want to request for a specific service they
                                                               universities’ databases in one warehouse with E-
have to come to the school and fill related forms.
                                                               government information technology in order to increase
This research is intended to represent a plan for smooth       the efficiency of information sharing among university
and cost effective transition to e-services in Iraqi           departments and with other universities.
vocational schools which is one of the important
components in Iraqi e-government development plan.                B.   E-Schools
                                                               E-School is an important type of e-government
                                                               applications. It depends on information and
LITERATURE REVIEW                                              communication technologies (ICT) to deliver services for
   A.   Studies and Scientific Researches in                   students and teachers as well as to promote the concept of
        Educational Sector                                     e-learning. The goals of e-schools are: to promote
                                                               students’ skills in ICT, enhance the abilities of teachers in
Given the growing importance of using e-government,            the use of ICT in teaching and improve school’s
there are many attempts to adopt it, especially in the         management [8].
education sector. Many studies in this area address the
necessary aspects for the success of this project or           Dimitrios z. and et al [9] argued that in order to develop e-
presenting e-government’s frameworks and models. Some          school digital information management services, ICT
of these attempts are for higher education, some of which      infrastructure must be provided to ensure the high level of
are for primary and secondary education.                       electronic services and easy access to the Internet. The
A study conducted in Bangladesh to verify how e-               electronic system in e-schools offers many facilities that
government is applied in the education sector [4]. Both        increase the efficiency of the administrative process.
qualitative and quantitative research approach was             Registration of students, management of grades,
conducted in this study. After analyzing the data, they        management of absences, and management of human
came up with some recommendations which are: training          resources are examples of some administrative services
for ICT should be arranged regularly, rural schools should     provided electronically. Students can also benefit from e-
be familiar with using E-governance not only using             school facilities through access to updated information,
computers, there should be an IT specialist for each           effective communication and access to resources such as
                                                               lesson information and lessons assessment.
  There are many examples for the adoption of e-schools             C.   Research Hypotheses
in some countries, for example, e-school in Turkey [10],       Eight hypotheses were conducted to extract information
Palestine [11], Qatar [12], Singapore [13] and Kuwait [14].    from the respondents. Each hypothesis is specific for
   Although previous study pointed out how to verify e-        certain group of stakeholders.
government in education sector, up to our knowledge there
is no study related to vocational schools specify the          1.   Vocational Department Employees:
requirements from each stakeholder’s prospective. Our               H1: Website is the most preferred technology to
study would represent service transition to e-government            communicate with vocational schools.
services in vocational schools.                                2.   Principal:
                                                                    H2: How much important is having a website for
                                                                    school administration
RESEARCH METHODOLOGY
                                                               3.   Administrative Assistant:
                                                                    H3: Employees’ number affects the preference of
    A.   Target Population, Research Instrument and                 automating official mail.
         Sample Size                                           4.   Technical Assistant:
In order to specify target population, we had to determine          H4: Students number influence the preference of
stakeholders in vocational schools and the role of each one         automating the list of exercise materials required for
of them. After studying the structure of vocational schools,
                                                                    practical courses
we came up with eight different stakeholders (Vocational
Department,      Principal,     Administrative    Assistant,   5.   Students’ Affair Assistant:
Technical Assistant, Students’ Affair Assistant, Teachers,          H5: How much important is the automation of
Students and Students Families).                                    authentication of the certificates
In order to collect data from respondents, eight different     6.   Teachers:
questionnaires were conducted and delivered to the                  H6: How much important is the automation of human
samples of targeted population. Each contains                       resources services
demographic questions and survey questions; the                7.   Students:
distribution of questions is shown in Table1.                       H7: Gender impacts the preference of automating
                                                                    students’ registration.
Although we prefer more than (50) samples for each             8.   Students’ Families:
stakeholder, Some samples were less than fifty because the          H8: Student Families prefer the automation of Exam
period of data collection was on the days of the final              Results more than the other services
examinations and therefore not all vocational schools were
available for samples collecting. Sample size is shown in
                                                                    D.   Data Analyses and Statistical Tools
Table 1.
                                                               The Statistical Package for Social Sciences (SPSS) version
    B.   Questionnaire Validation                              22 is used to analyze data and represent the results in a
In order to minimize errors, several steps have been taken     graphical form.
to assure the validity and reliability of the questionnaire,   As statistical analyzing tools, Least Square Regression was
we will review them in detail as the following:                used to show the strength and the significance of the
                                                               relationship between two variables. Besides that, Median
    •       The questionnaire was presented to three
                                                               and Comparative % to set forth frequencies and percentage
         experts to ensure the correctness of the English
                                                               and Chi- Square to test some hypotheses as intended.
         language used in writing the questionnaire
    •    The questionnaire then translated to Arabic           FINDINGS AND RESULTS
         version and was subjected to 3 experts to review      We have distributed 320 surveys to the participants, 50
         Arabic – English versions matching.                   for vocational department, 30 for the principals, 30 for
    •    Before collecting data, pilot testing was done to     Administrative Assistant, 30 for Technical Assistant, 30
         assure content clarity. Questionnaire was tested      for Students’ Affair Assistant, 50 for teachers, 100 for
         by delivering it for five samples from each group.    students and 50 for students’ families. Some of the
         According to the results of pilot testing, some       responses were excluded because they were invalid. The
         necessary alterations were done to the                number of valid responses is illustrated in Table2 and
         questionnaire to make it more clearly for the         Table3.
         respondents.
             TABLE1: Sample Size and number of demographic and                              Table3: Demographic information for teachers, students,
                             survey questions                                               students’ families and vocational department.

   Stakeholders              Sample            Demographic             Survey
                                Size           Questions               Questions            Property                                        Teacher              Student             Student        Vocation
   Vocational                50                4                       2                                                                                                              Family               Dept.
      Department
      employee




                                                                                                                                            Count




                                                                                                                                                                Count




                                                                                                                                                                                    Count




                                                                                                                                                                                                        Count
   Principal                 30                5                       5




                                                                                                                                                        %




                                                                                                                                                                            %




                                                                                                                                                                                                %




                                                                                                                                                                                                                    %
   Administrative            30                5                       7
     Assistant                                                                                                                          43          100     85          100     43          100     44          100
                                                                                            Answers
   Technical                 30                5                       3
      Assistant                                                                                                                         26          55.3    46          54.1    -           -       8           18.2
                                                                                                                              M
   Students’                 30                5                       5




                                                                                            Gender
      Affair                                                                                                                     F      17          36.2    39          45.9    -           -       36          81.8
      Assistant
   Teachers                  50                5                       4                                                     1-5        6           14      -           -       -           -       5           11.4

   Students                  100               3                       3



                                                                                            Work Years
                                                                                                                             6-10       12          27.9    -           -       -           -       9           20.5
   Students’                 50                1                       3
      Families                                                                                                               11-        9           20.9    -           -       -           -       12          27.3
                                                                                                                             15
                                                                                                                             >15
                                                                                                                             W          16          37.2    -           -       -           -       18          40.9
Table2:     Demographic     information     for   Principal,
Administrative Assistant, technical Assistant and Students’
                                                                                                                              1st       -           -       24          28.2    -           -       -           -
Affair Assistant
Property             Principle          Admin.                 Tech.        Student
                                                                                            Grade Level




                                                                                                                             2nd        -           -       28          32.9    -           -       -           -
                                            Asst.              Asst.            Asst.

                                                                                                                             3rd        -           -       33          38.8    -           -       -           -
                     Count




                                       Count




                                                          Count




                                                                           Count
                              %




                                                   %




                                                                   %




                                                                                    %




                                                                                                                                        24          55.8    -           -       -           -       -           -
                                                                                                                              5-50
                                                                                            # of Students in Each Semester




Answers              27       100      28          100    26       100     27       100
                                                                                                                                        14          32.6    -           -       -           -       -           -
                                                                                                                              51-100




               M     19      70.4      21          75     18       69.2    20       74.1
Gender




                 F    8      29.6       7          25      8       30.8     7       25.9                                                4           9.3     -           -       -           -       -           -
                                                                                                                              101-150




               1-5    2       7.4       5          17.9    1       3.8      7       25.9

                                                                                                                                        1           2.3     -           -       -           -       -           -
Work Years




                                                                                                                              >150




              6-10    6      22.2       9          32.1    8       30.8     6       22.2


               11-    8      29.6      14          50      9       34.6     7       25.9                                         1      -           -       -           -       33          76.7    -           -
               15
                                                                                            # of Student in Family




               >15   11      40.7       0           0      8       30.8     0           0
             W




                                                                                                                                 2      -           -       -           -       8           18.6    -           -




                                                                                                                                 3      -           -       -           -       2           4.7     -           -
     Demographic information are shown in Table2 and                                       insignificant. Therefore, the hypothesis is rejected. The
Table3, were Table2 related to Principal, Administrative                                   results conducted in this study do not present enough
Assistant, technical Assistant and Students’ Affair                                        evidences for the significance of the relation between
Assistant, while Table3 related to teachers, students,                                     employees’ number and the preference to automate
students’ families and vocational department.                                              official mail.
After analyzing the hypotheses we came up with the
following results:
                                                                                               Table6: Least Square Regression test results for
                                                                                                               hypothesis H3
H1: According to Table4, significance values for the
whole technologies are less than 0.05 including for the
                                                                                                Depend          In depend          Std.
web site technology and this means website is the most                                                                                      R       Sig.
preferred technology for communication. Therefore, the                                          Variable         Variable         Error
hypothesis is accepted.
                                                                                               Official        Employees’         0.633   0.156   0.428
      Table4: Chi-square test results for Hypothesis H1                                        mail            number
                                                           WhatsApp
                                        Phone call




                                                                      Facebook
       Website




                                                                                           H4: As clear in table 7, the level of significance is greater
                                                                                 Twitter
                 Email


                                SMS




                                                                                           than 0.05 and means the relation is insignificant, thus the
                                                                                           hypothesis is rejected. It cannot be indicated students’
                                                                                           number has an influence on the preference of automating
                                                                                           the list of exercise materials required for practical
Chi   8.551      30.694       27.429   40.240              71.653     55.280     62.837    courses.
df    3          4            6        7                   7          6          7
Sig   0.036      0.000        0.000    0.000               0.000      0.000      0.000
                                                                                               Table7: Least Square Regression test results for
                                                                                                                 hypothesis H4


H2: Table5 indicates that the significance value for                                           Depend          In depend          Std.
                                                                                                                                           R       Sig.
importance of the web site for the school administration is                                   Variable          Variable          Error
less than 0.05; this means the relation of the answers is
statistically significant. As a result, the hypothesis is                                     exercise        students’       0.576       0.217   0.288
accepted. It could be concluded that the presence of a                                        materials       number
website is important for respondents as the answers have
shown

                                                                                           H5: As shown in Table 8, the significance value is greater
      Table5: Chi-square test results for Hypothesis H2
                                                                                           than 0.05, which means the relation of the answers is
                                                                                           statistically insignificant. Therefore, we cannot conclude it
                                       Hypothesis H2                                       is important to automate the authentication of certificates.
                 Chi-Square                          26.364
                         df                            4                                          Table8: Chi-square table for Hypothesis H5

                         Sig.                        0.000
                                                                                                                          Hypothesis H5

                                                                                                     Chi-Square           2.444
                                                                                                     df                   4
H3: As table 6 clarifies, the level of significance is                                               Sig.                 0.655
greater than 0.05, which means the relation is
H6: For this hypothesis, significance value is less than              Table11: Chi-square test results for Hypothesis H8
0.05, as Table 9 shows; this indicates the relation of the
answers is statistically significant. Therefore, automating
human resources services is considered important from




                                                                                                                            information
                                                                                                            Leave request
teachers’ prospective




                                                                                              Exam result
                                                                                 attendance




                                                                                                                             Contact
     Table9: Chi-square test results for Hypothesis H6

                                                                Chi-Square      8.047         14.558        8.628           0.605
                                Hypothesis H6                   df              4             4             4               4

                Chi-Square            31.535                    Sig             0.090         0.006         0.459           0.963

                    df                  4
                   Sig.               0.000

                                                                CONCLUSION
                                                                The main concern of this study is to present a plan for
H7: Table 10 clarifies that the level of significance is        smooth and cost effective transition to e-services in Iraqi
greater than 0.05 and means the relation is insignificant;      vocational schools. We have developed and implemented
thus, hypothesis is rejected. It cannot be concluded gender     eight different questionnaires for each stakeholder in
impacts the preference of automating registration process       vocational school system. Moreover, hypotheses were
for student’s section.                                          conducted to extract information from the respondents.
                                                                After analyzing the hypotheses, the findings reported that
                                                                vocational department’s employees prefer website
   Table10: Least Square Regression test results for            technology to communicate with vocational schools.
                          hypothesis H7                         Similarly, school administration results showed that it is
                                                                important to have websites for vocational schools. The
                                                                results also showed there is no relation between
     Depend               In depend    Std.                     employees’ number and automating official mail, the same
                                                 R       Sig.   thing for students’ number and automating the list for
     Variable             Variable    Error
                                                                exercise materials and gender with automating students’
    Automate                                                    registration process. Automating human resources services
                           Gender     0.819     0.076   0.488   is configured importance according to the participants,
   Registration
                                                                while automating authentication of certificates is
                                                                considered not important. Finally, for students’ families
                                                                section, getting exam results in an automated form is the
                                                                most preferred service to be automated.
H8: As shown in Table11, significant values for the               For future work, more hypotheses can be conducted to
whole technologies are more than 0.05 except for exam           extracts more information from the participants to
results, which means the answers for exam result is             represent modular design to create e-government services
statistically valid. Thus, the hypothesis is accepted. Exam     for vocational schools.
results is the most preferred service to be automated for
students’ families
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M. (2014). The influence of infrastructure,             from Land Forces War Collage in
training, content and communication on the              1986. He finished his Ms studies
success of NEPAD’S pilot e-Schools in                   on computer engineering in
Kenya. Information Development, 30(3), 235-             Middle East Technical University
246.                                                    (METU) in 1997 and his Phd
                                                        studies        on        educational
                                                        technologies in Gazi University in
[9] Zissis, D., Papadopoulou, A. E., & Lekkas, D.
                                                        2007. Following his retirement
(2008). Enhancing Security in the Integration of
                                                        from government in 2009, he took
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                                                        his part as an assistant proffesor in
In WEBIST (2) (pp. 495-502).
                                                        Computer Engineerinf Department
                                                        of Atılım University in 2009. He
[10] Atici, B., & Küçükarslan, N. G. (2010).            has        more        than       50
Perceptions of Teachers and Administrators              national/international journal and
Regarding              the             E-School         conference publications
Applications. Transylvanian       Review     of
Administrative Sciences, 6(30), 5-15.
Asst.Prof.Dr. Barış Özkan received
  the bachelor’s degree in Industrial
  Engineering from Middle East
  Technical University in 2000. He
  finished his Ms studies on Software
  Management in 2005 and PhD on
  Information Systems in 2012 in
  Middle East Technical University
  (METU).