a survey of internet ulitization among lecturers of colleges of education in borno state nigeria
TRANSCRIPT
A SURVEY OF INTERNET ULITIZATION AMONG LECTURERS OF
COLLEGES OF EDUCATION IN BORNO STATE NIGERIA
By
Gana, Mustapha Bukar
Alkali, Mustapha
Gambo, Mustapha Modu
ABSTRACT
The study investigated Internet utilization among lecturers of Colleges of
Education in Borno State. In doing so, seven research questions guided the
work. Similarly, seven hypotheses were tested. The findings of the study
indicated that the lecturers made intensive use of the Internet for finding
information for instructional materials, for research and email for
correspondence.
INTRODUCTION
Computer technology has been an important part of our society. It
provides users with applications that can simplify several tasks. The glaring
potential of computer for education is enormous and experts in the field
have long recognized this (Stonier and Conlin, 1985). Lecturers can also
use this medium to facilitate their work. Computer related technology can
help lecturers perform many other work related tasks including record
keeping and professional development.
Similarly, the Internet plays a crucial role in the access of information
resources, sources of information and other opportunities available via the
Internet are increasing exponentially. This comes with the study increase in
Internet use for education and research (Edwards and Bruce, 2000). The
appearance of the Internet in higher education has no doubt enhanced
learning, teaching and research. Most universities and other tertiary
institutions throughout the world have established their presence on the
Internet thereby making it possible for researchers to access past and
current research publications (Jagboro, 2003) whether such is applicable in
Colleges of Education in Borno State, is yet to be empirically investigated.
Based on this, the researchers are interested in studying Internet utilization
among lecturers of Colleges of Education in Borno State.
STATEMENT OF THE PROBLEM
The Internet and its services have boosted the level of information,
knowledge and opportunities available to Nigerian academics (Osunade,
Phillips, and Ojo, 2007). However, despite the added benefits of the
Internet to learning, teaching and research, a number of problems plague
Internet connectivity and usage in Nigerian Universities and other tertiary
institutions (Jagboro, 2003). In view of this the researchers are interested
in investigating Internet utilization among lecturers of Colleges of
Education in Borno State.
PURPOSE OF THE STUDY
The purpose of the study is to investigate Internet utilization among
lecturers of Colleges of Education in Borno State.
Specifically, the study seeks to investigate:
1. The extent of utilization of the Internet for research
2. The extent of utilization of the Internet as a source of information
3. The extent of utilization of the Internet for E-mail
4. The extent of utilization of the Internet for professional development
5. The extent of utilization of the Internet for entertainment
6. To determine the source of Internet access
7. To ascertain the use of Internet search engines
SIGNIFICANCE OF THE STUDY
The significance of the present study lies in the findings it would
provide to lecturers. It will provide information on Internet utilization.
The study is significant not only to lecturers but also to all students
who aspire to conduct research in the field of computer and Internet
technologies.
For a greater number of people to benefit from the findings of the
study, efforts will be made to publish it in reputable journals and as well
post it on the Internet.
SCOPE OF THE STUDY
The study will focus on investigating utilization of Internet among
lecturers of Colleges of Education in Borno State. These colleges are Umar
Ibn Ibrahim El-Kanemi College of Education, Science and Technology
Bama, Kashim Ibrahim College of Education Maiduguri and College of
Education Waka-Biu.
The study will investigate extent of utilization of Internet for
research, as a source of information, for email, for professional
development, for entertainment, sources of Internet access and Internet
search engines used.
RESEARCH QUESTIONS
Seven research questions will guide the study:
1. What is the extent of utilization of the Internet for research among
the lecturers?
2. What is the extent of utilization of the Internet as a source of
information among the lecturers?
3. What is the extent of utilization of the Internet for e-mail among the
lecturers?
4. What is the extent of utilization of the Internet for professional
development among the lecturers?
5. What is the extent of utilization of the Internet for entertainment
among the lecturers?
6. What is the source of Internet access among the lecturers?
7. Which Internet search engines do the lecturers use?
HYPOTHESIS
Seven null hypotheses will guide the study:
1. There is no significant difference in the mean ratings of the extent of
utilization of the Internet for research among the lecturers due to
gender.
2. There is no significant difference in the mean ratings of the extent of
utilization of the Internet as a source of information among the
lecturers due to gender.
3. There is no significant difference in the mean ratings of the extent of
Internet utilization for e-mail correspondence among the lecturers
due to gender.
4. There is no significant difference in the mean ratings of the extent of
utilization of the Internet for professional development among the
lecturers due to gender.
5. There is no significant difference in the mean ratings of the extent of
Internet utilization for entertainment among the lecturers due to
gender.
6. There is no significant difference in the mean ratings of sources for
Internet access due to gender.
7. There is no significant difference in the mean ratings of the use of
Internet search engines among the lecturers due to gender.
REVIEW OF RELATED LITERATURE
Computer related technology can help lecturers perform many work-
related tasks including record keeping and professional developments.
Computer related technologies are of two types. These according to
Sampson et’ al (1997) is non-Internet based computer related technology
and Internet based computer related technology.
Similarly, the Internet is one of the most important technological
developments of 20th century. The Internet is conceived as computer based
global information system (Microsoft, 2008). It is composed of many
interconnected computer networks which makes it a rich, multi-layered,
complex, ever changing textual environment. It provides several
opportunities for the academia. It is a means of information dissemination
and a medium for collaboration between individuals and their computers
without regard to geographic limitation of space (Leiner et al, 2000, Singh,
2002).
The Internet plays a crucial role in the access of information
resources and other opportunities available via the Internet are increasing
exponentially. This comes with the study increase in Internet use for
education and research (Edwards and Bruce, 2002). Also, with the growth
of information on the Internet and the development of more sophisticated
searching tools, there is now the more likely possibility of finding
information and answers to real questions. However, within the morass of
networked data are both valuable nuggets and incredible amount of junks
(Tillman 2003).
The appearance of the Internet in higher education has no doubt
enhanced learning teaching and research. Most universities and other
tertiary institutions throughout the world have established their presence
on the Internet thereby making it possible for researchers to access past
and current research publications. Several journals, magazines,
newspapers, books and archives provide important avenue for research
and publication. Likewise, there are many classic literary and philosophical
books available for teaching in electronic form. The fast growth of
information technology and the Internet has changed traditional methods
of research, storage and retrieval of information and scholarly
communication (Jagboro, 2003).
In Nigeria, the use of the Internet by academics has been studied by
many researchers including (Ehikhamenor, 2003, Aduwa,Ogiegben, 2005),
Adigbeji and Toyo, 2006, Ureigbo et al, 2006) and Osunade, Phillips and
Ojo, 2007) among others. In a survey of academic staff of selected
disciplines in ten (10) Nigerian Universities Ehikhamenor (2005) identified
that scientists are still heavily dependent on printed information sources,
especially journals, indexes and abstracts. The study reported that 64.4%
of the lecturers have a computer at their disposal while 50.4% have access
to, and are using the Internet. Besides email, very little use is made of
other Internet resources.
In another study conducted by Aduwa-Ogiegbaen (2005) at the
University of Benin showed that the Internet was most widely used as a
resource towards writing journals articles, publication, searching for
relevant instructional materials and assessing reference materials. The
study did not find any significant differences between male and female
Internet usage.
Similarly, Adigbeji and Toyo (2006) indicated that at the Delta State
University Abraka, faculty members were encouraged to use the Internet
by the university policy on academic qualifications and publications. The
faculty members surveyed stated that they find the Internet useful, access
it mainly in cybercafé, and use it primarily to search for information and
communication via e-mail. In the same vein, an impact evaluation of
Internet usage among students and staff carried out by Ureigho et al
(2006) at the Delta State, Polytechnic, indicated that online chatting ranked
first, e-mail second and search for materials was third.
Lastly, in another study conducted by Osunade, Phillips and Ojo
(2007) at the University of Ibadan among one hundred (100) academic
staff (66 male and 34 female) from colleges of education, polytechnics,
universities and others, in the south western states of kwara, Ogun, Ondo,
Osun, Lagos and Ekiti. The results showed that academics used the
Internet in support of their professional ventures. Most usage was limited
to checking email and searching for information. They accessed the
Internet mostly in Cybercafés (74%) and 64% of the academics have their
own computers and/or laptops.
The review showed that all of the reported studies on the use of the
Internet by academics were carried out in the southern part of the country.
In other words, there is limited research in the Northern part of the
country. A gap invariably exists. This study therefore attempts to fill this
gap.
RESEARCH METHODOLOGY
The study will be conducted using a survey research design.
AREA OF THE STUDY
This study will be carried out in Borno State of Nigeria.
POPULATION OF THE STUDY
The population of this study consists of all the academic staff of
Colleges of Education in Borno State, Nigeria. There are Four hundred and
ninety (490) lecturers currently engaged in teaching in these institutions.
SAMPLE AND SAMPLING TECHNIQUE
The sample of the study consists of One Hundred and Ninety-Six
(196) lecturers (consisting of 40% of the population). According to Nwana
(1981), if a population reaches one hundred or more, then, 40% of the
population should be selected.
Similarly, stratified sampling technique will be employed in drawing
40% of the population.
INSTRUMENT OF THE STUDY
The instrument of the study to be used in this study for collecting
data is the questionnaire titled Internet Utilization Questionnaire for
Colleges of Education Lecturers (IUQCEL) developed by the researchers.
VALIDATION OF INSTRUMENT
The initial draft of the instrument was subjected to face and
construct validation by giving it out to two experts, one each in
measurement and evaluation, and computer science in Umar Ibn Ibrahim
College of Education, Science and Technology Bama.
TRIAL TESTING
A trial testing was carried out using ten (10) lecturers of College of
Education Hong, as part of the validation exercise. College of Education
Hong was used because it has similar background with Colleges under
study.
RELIABILITY OF THE INSTRUMENT
The internal consistency of the instrument was established using
Cronbach’s Alpha ( ) with the data collected from the trial testing. A
reliability coefficient of 0.79 was obtained.
METHOD OF DATA COLLECTION
The data for the study will be collected through the direct
administration of the instrument by the researchers.
METHOD OF DATA ANALYSIS
The data will be analyzed using mean scores to answer the research
questions. The hypothesis will be tested using chi-square at P<0.05 level.
RESULTS AND DISCUSSIONS
The findings of the study are presented in the tables below according
to research questions and hypothesis.
Research Question 1
What is the extent of utilization of Internet for research among
lecturers of Colleges of Education in Borno State, Nigeria?
Data answering this research question are contained in table 1.
Table 1 (Section A) Extent of Utilization of Internet for research
S/N Variables (item) X1
(n=64) X2
(n=89) X3
(n=44) XG
(197) SD Decision
1 For my research
work, I make
use of Internet
3.50 3.40 3.43 3.44 1.4949 Accepted
2 I make use of
educational
sites for my
research
3.38 3.30 3.43 3.37 0.4777 Accepted
3 I consult online
journals in my
research
3.25 3.30 3.43 3.33 0.4611 Accepted
4 Online library 3.13 3.50 3.14 3.26 0.5402 Accepted
research greatly
assist in my
research
5 Online
databases are
useful for my
research
2.75 2.90 3.57 2.91 0.9456 Rejected
X1 = Mean score for UIIECEST, Bama, X2 = Mean score for KICIOE,
Maiduguri, X3 = Mean score for WAKA, Biu, XG = Grand mean.
Table 1 shows the respondents’ grand mean score for each item of
this section (extent of utilization of Internet for research) namely: Item 1
(ẊG = 3.44), item 2 (ẊG = 3.37), item 3 (ẊG = 3.33), Item 4 (ẊG = 3.26)
and item 5 (ẊG =2.91)
Items 1, 2, 3, 4, are above the criterion grand mean score (ẊG =
3.00) set for the study, that is, the table suggested that the respondents
agreed item 1, 2, 3, and 4 strongly, meanwhile the respondents disagreed
item 5.
Research Question 2
What is the extent of utilization of the Internet as a source of
information among lecturers of Colleges of Education in Borno State,
Nigeria?
Data answering this research question are contained in table 2.
Table 2 (Section B) Extent of utilization of Internet as source of
information
S/N Variables (item) X1
(n=64) X2
(n=89) X3
(n=44) XG
(197) SD Decision
or
Remark
6 While looking
for information,
I resort to the
Internet
3.38 3.10 2.43 2.97 0.8885 Rejected
7 Through the
Internet I
acquire relevant
information that
is helpful to my
work
3.63 3.50 3.57 3.57 0.4916 Accepted
8 I make use of
the Internet for
vital
information
3.38 3.80 3.29 3.49 0.4493 Accepted
relating to my
class work
9 I make use of
different
educational
websites as
source of my
information
3.25 3.00 3.43 3.23 0.5990 Accepted
10 I use different
search engines
while browsing
for information
3.00 3.10 3.43 3.18 0.7285 Accepted
X1 = Mean score for UIIECEST, Bama, X2 = Mean score for KICIOE,
Maiduguri, X3 = Mean score for WAKA, Biu, XG = Grand mean.
Table 2 shows the respondents mean score of this section (extent of
utilization of Internet as source of information) and the grand mean scores
of all items in this section showed the grand mean scores are above the
criterion mean (ẊG = 3.00) set for this study. Except item 1 whose grand
mean score is (XG = 2.97) which is below the criterion mean set for this
study.
Research Question 3
What is the extent of utilization of the Internet for e-mail among the
lecturers of Colleges of Education in Borno State, Nigeria?
Data answering this research question are contained in the table below:
Table 3 (Section C) Extent of utilization of Internet for E-mail
correspondence
S/N Variables (item) X1
(n=64) X2
(n=89) X3
(n=44) XG SD Decision
11 I use the Internet
for e-mail
2.63 3.20 3.14 3.32 0.6033 Accepted
12 I use the Internet
for
correspondence
with my
colleagues via e-
2.75 3.20 3.14 3.03 0.5266 Accepted
13 I make use of the
Internet with my
students via e-
2.00 2.70 3.29 2.66 0.6134 Rejected
14 I make use of the
Internet for
correspondence
with professional
3.00 3.00 3.00 3.00 0.5639 Accepted
bodies
X1 = Mean score for UIIECEST, Bama, X2 = Mean score for KICIOE,
Maiduguri, X3 = Mean score for WAKA, Biu, XG = Grand mean.
In table 3, the respondents’ grand mean scores are presented individually
for each item: (XG = 3.32), (XG = 3.03), (XG = 2.26), (XG = 3.00)
respectively. From the presentation only item 3 is below the criterion mean
set for this study, items 1, 2 and 4 are all above the criterion mean set for
the study (XG = 3.00). Items 1, 2 and 4 are accepted by the respondents,
item 3 is rejected by the respondents.
Research Question 4
What is the extent of utilization of the Internet for professional
development among lecturers of Colleges of Education in Borno State,
Nigeria?
Data answering this research question are contained in table 4.
Table 4 (Section D) Extent of utilization of Internet for professional
development
S/N Variables (item)
X1
(n=64) X2
(n=89) X3
(n=44) XG
(n=197) SD Decision
15 The Internet
contributes to
my
3.75 3.70 3.00 3.48 0.4753 Accepted
professional
development
16 I submit
articles for
online
publications
via the
Internet
2.75 3.10 2.86 2.90 0.6699 Rejected
17 I make use of
Internet for
electric
discussions
with other
professionals
2.50 2.60 3.29 2.80 0.7357 Rejected
18 I chat with
my
colleagues in
other
institutions
through the
Internet
2.38 2.90 3.29 2.86 0.5453 Rejected
19 For my
registration
with
professional
2.63 3.00 3.29 2.97 0.5934 Rejected
organizations,
I make use of
Internet
20 I make
consultations
with
colleagues
through the
Internet via
bulletin board
2.63 2.90 2.86 2.80 0.6356 Rejected
X1 = Mean score for UIIECEST, Bama, X2 = Mean score for KICIOE,
Maiduguri, X3 = Mean score for WAKA, Biu, XG = Grand mean.
Table 4 shows the grand mean scores of respondents to each item in
this section, item 15 is the only item in this section with grand mean score
(ẊG = 3.48) which is above the mean score (Ẋ =3.00) set for this study.
Hence, it is the only item agreed by the respondents as revealed by the
table.
Items 16, 17, 18, 19, 20 with grand mean scores (ẊG =2.75, 2.50,
2.38, 2.63 and 2.63) are all below the mean score (ẊG =3.00) set for this
study and hence the table suggests that the items 16, 17, 18, 19 and 20
are all disagreed by the respondents.
Research Question 5
What is the extent of utilization of the Internet for entertainment
among lecturers of Colleges of Education in Borno State, Nigeria?
Data answering research question 5 are contained in the table that follows:
Table 5 (Section E) Extent of utilization of Internet for entertainment
S/N Variables
(item)
X1
(n=64) X2
(n=89) X3
(n=44) XG
(n=197) SD Decision
21 I download
music
through the
Internet
2.50 3.50 2.43 2.81 0.6981 Rejected
22 I make use of
the Internet
for playing
game
2.25 3.20 3.14 2.86 0.9329 Rejected
23 I use Internet
for
downloading
movies
2.38 3.50 2.86 2.91 0.730 Rejected
24 I browse the
Internet for
sports
information
2.63 2.60 2.57 2.60 0.8996 Rejected
X1 = Mean score for UIIECEST, Bama, X2 = Mean score for KICIOE,
Maiduguri, X3 = Mean score for WAKA, Biu, XG = Grand mean.
Table 5 revealed that items, 21, 22, 23, and 24 with mean scores (Ẋ
= 2.50, 2.25, 2.38 and 2.63) respectively are all below the grand mean
score (ẊG =3.00) set for this study. The lecturers are in complete
disagreement with all the items of this section (utilization of Internet for
entertainment) as shown by their mean responds.
Research Question 6
What is the source of Internet access among the lecturers? Data
answering research question 6 are contained in table 6 below:
Table 6 (Section F) Source of Internet access
S/
N
Variables
(item)
X1
(n=64)
X2
(n=89)
X3
(n=44)
XG
(n=197) SD Decision
25 Internet café 3.13 3.10 3.00 3.08 1.292
6
Accepte
d
26 Handset/phon
e
3.25 3.10 2.86 3.07 1.014
2
Accepte
d
27 Wireless
laptop
3.13 2.20 1.86 2.40 1.223
6
Rejected
X1 = Mean score for UIIECEST, Bama, X2 = Mean score for KICIOE,
Maiduguri, X3 = Mean score for WAKA, Biu, XG = Grand mean.
Table 6 shows that items 25 and 26 with mean scores (ẊG = 3.12,
3.25 and) respectively in this section are above the cut up grand mean (ẊG
=3.00) set for this study. However, the grand mean score of item 27 (ẊG
=2.40) fails below the cut up grand mean score (ẊG =3.00).
Hence, items 25 and 26 (Internet café and handsets/phone) are both
accepted by the lecturers as their source of Internet access. Meanwhile,
they rejected item 27 (wireless laptop) as source of internet access.
Research Question 7
Which Internet search engine(s) do the lecturers use? Data answering
research question 7 are contained in table 7
Table 7 (Section G) Which Internet search engines do the lecturers use?
S/N Variables
(item)
X1
(n=64) X2
(n=89) X3
(n=44) XG
(n=197) SD Decision
28 Google 3.75 3.90 2.71 3.12 0.9199 Accepted
29 Yahoo 3.63 3.40 2.86 3.30 0.7976 Accepted
30 Wikipedia 2.63 1.90 2.00 2.18 1.5437 Rejected
31 Blog 1.88 0.50 1.00 1.13 1.1363 Rejected
32 Mailing list 1.88 0.40 1.71 1.33 1.1867 Rejected
X1 = Mean score for UIIECEST, Bama, X2 = Mean score for KICIOE,
Maiduguri, X3 = Mean score for WAKA, Biu, XG = Grand mean.
Table 7 shows the grand mean scores of the respondents to section G of
this study, and according to the table only two of the search engines
namely: Google and Yahoo are the most frequently used search engines by
the lecturers of Colleges of Education in Borno State, Nigeria.
They are under items 28 and 29 with mean score (ẊG =3.75 and 3.63)
respectively which are above the mean score (ẊG =3.00) set for this study.
Items 30, 31 and 32 with grand mean scores (ẊG =2.63, 1.88, and 1.88)
respectively are all below the mean score (ẊG =3.00) set for this study, that
is, they are not used by the lecturers of colleges of education in Borno
state as reliable search engines.
Hypothesis 1
There is no significant difference in the mean ratings of the extent of
utilization of the Internet for research among the lecturers due to gender.
Data verifying the hypothesis are contained in Table 8.
Table 8
Summary of chi-square analysis of no significant difference in the
mean ratings of the extent of utilization of the Internet for research among
the lecturers
Variables
Gender
N Mean X2-cal Df X2 critical Decision
Male 45 2.46 1.3540 64 7.8150 Accepted
Female 19 1.04
Table 8 shows X2-cal (chi-square calculated) value of test of
hypothesis of no significant difference in the mean ratings of the extent of
utilization of the Internet for research among lecturers due to gender
(X2(64) = 1.3540 < 7.8150, P<0.05)
X2-cal (1.3540) < X2-critical (7.8150) at probability level 0.05 and 3
degrees of freedom
The above result suggests that there is no significant difference in the
mean ratings of the extent of utilization of the Internet for research among
the lecturers of Colleges of Education in Borno State, Nigeria due to
gender. In other words the null hypothesis was accepted.
Hypothesis 2
There is no significant difference in the mean ratings of the extent of
utilization of the Internet as a source of information among the lecturers
due to gender. Data verifying the hypothesis are contained in table 9
Table 9
Summary of chi-square analysis of No significant difference in the mean
ratings of the extent of utilization of the Internet as source of information
among the lecturers
Variables N Mean X2-cal Df X2 critical Decision
Gender
Male 45 2.340 0.8901 64 7.8150 Accepted
Female 19 0.988
Table 9 shows X2-cal value of test of hypothesis of no significant
difference in the mean ratings of the extent of utilization of the Internet as
source of information among lecturers due to gender.
(X2(64) = 0.8901 < 7.8150. P<0.05
X2-cal (0.8901) < X2-critical (7.8150) at probability level 0.05 and 3
degrees of freedom
From the above table, X2-cal (0.8901) is by far less than X2-critical
(7.8150). Hence there is no significant difference in the mean ratings of
the extent of Internet utilization as a source of information among lecturers
and the hypothesis is accepted.
Hypothesis 3
There is no significant difference in the mean ratings of the extent of
Internet utilization for e-mail correspondence among the lecturers due to
gender. Data verifying this hypothesis are contained in table 10 that
follows;
Table 10
Summary of chi-square analysis of No significant difference in the mean
ratings of the extent of Internet utilization e-mail correspondence among
the lecturers.
Variables
Gender
N Mean X2-cal Df X2 critical Decision
Male 45 1.8246 8.4229 64 7.8150 Rejected
Female 19 0.7704
Table 10 shows X2-cal value for test of hypothesis of no significant
difference in the mean ratings of the extent of utilization of Internet for e-
mail correspondence among lecturers due to gender.
(X2(64) = 8.4229 > 7.8150, P < 0.05)
X2cal (8.4229) > X2critical (7.8150) at probability level 0.05 and 3 degrees
of freedom
Table 10 reveals that the state null hypothesis: there is no significant
difference in the mean ratings of the extent of utilization of Internet for e–
mail among lecturers has been rejected for the fact that X2-cal (8.4229) is
greater than the critical value x2-critical (7.8750).
Hypothesis 4:
There is no significant difference in the mean ratings of the extent of
utilization of the Internet for professional development among the lecturers
due to gender. Data verifying the hypothesis are contained in table 11.
Table 11
Summary of chi-square analysis of No significant difference in the
mean ratings of the extent of utilization of Internet for professional
development among the lecturers
Variable
Gender
N Mean X2-cal Df X2-critical decision
Male 45 1.95 0.7928 64 7.8150 accepted
Female 19 0.82
Table 11 shows X2-cal value for test of hypothesis of no significant
difference in the mean ratings of Internet utilization for professional
development among the lecturers due to gender.
Table 11 shows X2-cal value of test of hypothesis of no significant
difference in the mean ratings of the extent of utilization of Internet for
professional development among lecturer due to gender.
(X2(64) = 0.7928 < 7.8150, P<0.05)
X2cal (0.7928) < X2-critical (7.8150) at probability of 0.05 and 3 degree of
freedom.
Table 11 shows that the calculated X2(0.7928) is much less than the critical
value of X2(7.850) at probability level 0.05 and 3 degree of freedom.
Hence, the null hypothesis is accepted.
Hypothesis 5
There is no significant difference in the mean ratings of extent of Internet
utilization for entertainment among the lecturers due to gender. Data
verifying this hypothesis are contained in table 12.
Table 12
Summary of chi-square analysis of no significant difference in the
mean ratings of the extent of Internet utilization for entertainment among
the lecturers
Variables
Gender
N Mean X2-cal Df X2 critical Decision
Male 45 1.66 3.2930 64 7.8150 Accepted
Female 19 0.70
Table 12 shows X2-cal value of test of hypothesis of no significant
difference in the mean ratings of Internet utilization for entertainment
among the lecturers due to gender.
(X2(64) = 3.2930 < 7.8150, P < 0.05) at 3 degrees of freedom, the
calculated X2(3.2930) is less than the critical value X2(7.8150), therefore
the hypothesis is accepted.
Hypothesis 6
There is no significant difference in the mean ratings source of
access to the Internet among the lecturers due to gender. Data verifying
the hypothesis are contained in table 13.
Table 13
Summary of chi-square analysis of No significant difference in the
mean ratings of source of access to the Internet among the lecturers
Variables
Gender
N Mean X2-cal Df X2 critical Decision
Male 45 2.23 2.7572 64 7.8150 Accepted
Female 19 0.94
Table 13 shows X2-cal value of test for hypothesis of no significant
difference in the mean ratings of source of access to the Internet utilization
among the lecturers due to gender.
[X2(64) = 2.7572 < 7.8250, p<0.05] at 3 degrees of freedom, the
calculated X2(2.7572) is less than the critical value X2(7.8150) and
therefore the hypothesis is accepted.
Hypothesis 7
There is no significant difference in the mean ratings of the extent of
utilization of the Internet search engines among the lecturers due to
gender. Data verifying this hypothesis are contained in table 14.
Table 14
Summary of chi-square analysis of no significant difference in the
mean ratings of the utilization of Internet search engines among the
lecturers due to gender.
Variables
Gender
N Mean X2-cal Df X2 critical Decision
Male 45 1.80 0.8775 64 7.8150 Accepted
Female 19 0.76
Table 14 shows X2-cal value for test of hypothesis of no significant
difference in the mean ratings of the utilization of Internet search engines
among the lecturers due to gender.
[X2(64) = 0.8775 < 7.8150, P<0.05] at 3 degree of freedom.
From the table above, the calculated value of X2(0.8775) is by far less than
the critical value of X2(7.8150) at 3 degrees of freedom and 0.05
probability level. Hence the hypothesis has been accepted as revealed by
the above table.
DISCUSSIONS
Based on the foregoing tables, the findings of section (A) revealed
that the respondents used the Internet for their research using educational
sites. Similarly the respondents consult online journals and online libraries
for their research. This is in line with Edwards and Bruce (2000) where
respondents used the Internet for research and education. However, the
respondents did not make use of online databases.
Findings of Section B revealed the respondents made use of the
Internet as a source of information. In doing so, they obtained relevant
and vital information which are helpful for their classwork. Such
information was accessed from different educational sites using different
search engines. This supports the work of Aduwa-Ogeigbari (2005) and
Ureigho et al (2006).
Section C showed that the respondents were using the Internet as a
source of e-mail for correspondence with colleagues and not with students
and they were using the Internet for correspondence with professional
bodies. This is not in support of the works of Ehikhamenor (2005) and
Adigbeji and Toyo (2006), where their respondents made use of email for
correspondence with colleagues and students.
Section D indicated that the respondents agreed that the Internet
contributed to their professional development. However, they were not
using the Internet for submitting articles for online publication(s), chatting
with colleagues, registration with professional bodies and making
consultation with colleagues. Likewise, the respondents did not consult
with colleagues through the Internet via bulletin boards.
Section E, here none of the respondents use the Internet as a source
for entertainment.
In section F, all respondents accessed the Internet through
cybercafé, handset/phone and not wireless laptop. This supports the work
of Osunade, Phillips and Ojo (2007) where 74% of their respondents
accessed the Internet in Cybercafé.
In section G, the respondents browsed the Internet using Google and
yahoo search engines. However, important site like Wikipedia, blogs and
mailing lists were not used by the respondents.
Based on the test for hypotheses made, the following conclusions
were derived:
The chi-square calculations showed that:
Hypothesis 1: there is no significant difference in the mean ratings of the
extent of utilization of the Internet for research among the lecturers due to
gender. In other words, hypothesis was accepted.
Hypothesis 2: there is no significant difference in the mean ratings of the
extent of utilization of Internet as a source of information due to gender
and was accepted.
Hypothesis 3: there is no significant difference in the mean ratings of the
extent of utilization of the Internet for e-mail correspondence due to
gender was rejected.
Hypothesis 4: there is no significant difference in the mean ratings of the
extent of utilization of the Internet for professional development due to
gender was accepted.
Hypothesis 5: there is no significant difference in the mean ratings of the
extent of utilization of the Internet for entertainment due to gender was
accepted.
Hypothesis 6: there is no significant difference in the mean ratings of
access of the Internet due to gender was accepted.
Hypothesis 7: there is no significant difference in the mean ratings of the
use of the Internet search engines due to gender was also accepted.
Summary, Conclusion and Recommendations
The purpose of the study was to investigate Internet utilization among
lecturers of Kashim Ibrahim College of Education, Maiduguri, Brno State.
To achieve this, seven research questions were posed and seven
hypotheses were also hypothesized. The study revealed that the lecturers
of the college utilized the Internet in various forms.
Conclusion
On the basis of the findings and discussions of the study, the following
conclusions were reached;
i) Lecturers of the college solely depended on Internet for their
research.
ii) The lecturers of the college made use of the Internet as source of
information.
iii) The lecturers did not use email for correspondence with
colleagues and students for their communications. However they
made use of email to communicate with professional bodies.
iv) The extent of Internet utilization for professional development in
the college was also low.
v) The lecturers of the college did not depend on the Internet for
entertainment.
vi) The main source(s) of access to the Internet were public cyber
cafes, wireless laptop(s) and cell phones.
vii) The lecturers of the college frequently used Google and yahoo
search engines more than other search engines. Important sites
such as Wikipedia, blogs and mailing lists were not used.
Recommendations
Utilization of Internet for educational purposes requires Internet
search skills. As such, there is therefore the need to incorporate
Internet search skills in the curriculum of Nigerian universities,
colleges of educations, polytechnics and other tertiary institutions.
Similarly, there is also the need to organize Internet search
skills for lecturers of tertiary institutions in the country.
REFERENCES
Adigbeji, O and Toyo, O. (2006), “The Impact of the Internet on Research:
the experience of Delta State University, Nigeria”, Library philosophy
and Practice, Vol. 8, No. 2
Aduwa-Ogiegbean, S. E and Iyamu, E. O. S. (2005) Using Information and
Communication Technology in Secondary Schools in Nigeria.
Educational Technology and Society 8(1), 104 - 112.
Comer, D.E (2008) “Internet”, Microsoft EncartaR 2008 (DVD) Redmond,
W.A Microsoft Corporation Edwards, S.L and Bruce, C.S (2002)
Reflective Internet Searching: An Action Research Model The
Learning Organization: An International Journal, 9(4), 180-188.
Ehikhamenor, F.A (2003), “The Information Society and the Nigerian Print
Media”, African Journal of Library, Archives, Available: retrieve
February 18, 2013, from http://www.unilorin.
edu.ng/index.php.fabia...
Friedman, T.L (2005), The World is Flat: A Brief History of the Twenty-first
Century. New York: Farrar, Straus and Giroux. Available:
http://www.jtc.columbusstate.edu/.../Hayden.htm
Jagboro, K.O. (2003), A Study of Internet Usage in Nigerian Universities. A
Case Study of Obafemi Awolowo University Ile-Ife, Nigeria. First
Monday, Volume 8, Number 2-3, February 2003. Available:
http://www.firstmonday.org/../954.
Leiner, V. G, Clark D. D, Kahn, L. K, Postel L.G. J. Kleinrock, L. Roberts L.
G, and Wolff S. (2000) “A Brief History of the Internet” Available:
http://www.isoc.org/Internet/history/brief.shtml.
Nwana, O.C. (1981), Introduction to Educational Research for Students and
Teachers. Ibadan, Heinemann Educational Books Ltd.
Osunade, O. Phillips, F., and Ojo, O. (2007) “Limitations of Knowledge
Sharing in Academia A Case from Nigeria”… Available: retrieved
February 18,2013 from http://www.journal.km4dev.org/.../161.
Sampson, J. P., Kolodingsky, R. W. & Greeno B. P. (1997) Counselling on
the information highway: Future possibilities and potential problems.
Journal of counselling and development, pp 75, 203 – 218.
Singh, A.M. (2002) ‘The Internet-strategy for optimum utilization in south
Africa,” South African Journal of Information, Volume 4, Issue 1,
(marhc)
Stonier, T. and Conlin, C. (2005) “The Three Cs: Children, Computers, and
Communication: Available: Retrieve February 18, 2013, from
http://www.getcited.org/pub/102456296.
Tillman, H.N (2003), March 28) Evaluating quality on the Net. Available:
Retrieved March 28, 2013, from
http://www.hopetillman.com/findqual.html.
Ureigho, R.J., Oroke, G.U and Ekruyota, G.O (2006) “The Impact of
Internet Usage: A Case Study of Delta State (Nigeria) Tertiary
Institutions”. Available: Retrieved February 18, 2013, from http://
www.academic,journals.org/sre/abstra...