The ICT Literacy Skills of Secondary Education Teachers in Greece
Vyron Ignatios Michalakis, Michail Vaitis and Aikaterini Klonari
Department of Geography, University of the Aegean, University Hill, 81100, Mytilene, Lesvos, Greece
Keywords: ICT Literacy, Secondary Education Teachers, Mobile Learning, Greece.
Abstract: This article discusses the ICT literacy of secondary education teachers in Greece. Regardless of their specialty,
a representable sample of 700 in-service teachers from 283 secondary education schools throughout Greece,
participated in our questionnaire survey that was conducted from December 2017 until June 2018. The
teachers were questioned about their familiarity with personal computer and smartphone use, whether they
use ICT devices in the classroom, while also reporting any obstacles they face in order to implement ICT in
the educational process. The data collected enabled us to review the teachers’ ICT literacy. The ICT literacy
definition we endorse is the one offered by ETS (Educational Testing Service) (2007); “ICT literacy is using
digital technology, communications tools, and/or networks to access, manage, integrate, evaluate, and create
information in order to function in a knowledge society”. The findings of the research showed that the majority
of Greek teachers are skilled ICT users, embracing their implementation in their teaching interventions,
although ICT related Greek policies are contradictory.
1 INTRODUCTION
The importance of digital literacy is well
acknowledged around the world as progressively
more countries adopt ICT (Information and
Communications Technology) policies in education
(UNESCO, 2011). The infusion of ICTs in schools,
that mostly took place in the early 90s, failed in its
early stages to revolutionize education (Cuban, L.,
2000, 2001), as in most cases technology was adapted
to traditional school structures, classroom
organization and existing teaching practices (Dakich,
E., 2015). As of now educators have realized that in
order to impact student learning, ICT must be
integrated by teachers that are digitally literate and
understand how to integrate it into the curriculum.
According to the European Commission (2013)
“teachers’ confidence in using ICT can be as crucial
as their technical competence, because confidence
levels can have potential influence on the frequency
with which teachers use ICT-based activities in the
classroom”.
In this article, we survey a representative sample
of 700 secondary education teachers in Greece, in
order to evaluate the Greek education system’s ability
to adopt ICT, based mainly on teachers’ ICT literacy.
Numerous frameworks have been published about the
proper definition and meaning of digital and ICT
literacy. Ng, (2012), considering all existing
definitions, stated that digital literacy has three
dimensions, depending on the exact skills required;
technical, cognitive and socio-emotional. The
technical dimension involves possessing the technical
and operational skills to use ICT for learning and in
everyday activities, the cognitive dimension as the
ability to think critically in the search, evaluate and
create cycle of handling digital information, and the
socio-emotional as being able to use the internet
responsibly for communicating, socializing and
learning. Many researchers list digital literacy as one
of the 21st century skills (Vavik and Salomon., 2015)
(Voogt et al., 2013) (Trilling and Fadel, 2009) but
Trilling & Fadel also described ICT literacy as a part
of digital literacy. Specifically, they grouped the 21st
century skills into three main areas; Learning and
innovation skills, digital literacy skills and career and
life skills. They later divided the digital literacy skills
in information literacy, media literacy and ICT
literacy. The following ICT literacy definition was
offered in 2007 by ETS (Educational Testing
Service); “ICT literacy is using digital technology,
communications tools, and/or networks to access,
manage, integrate, evaluate, and create information in
order to function in a knowledge society “.
Summarizing, digital literacy is a more broadband
term than ICT literacy, and includes the skills
376
Michalakis, V., Vaitis, M. and Klonari, A.
The ICT Literacy Skills of Secondary Education Teachers in Greece.
DOI: 10.5220/0007728703760383
In Proceedings of the 11th International Conference on Computer Supported Education (CSEDU 2019), pages 376-383
ISBN: 978-989-758-367-4
Copyright
c
2019 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
required to be able to critically evaluate and impart
information, retrieved using ICT.
ICT training programs for teachers in Greece are
divided into two levels. The A-lever training
curriculum is about acquiring basic knowledge and
skills in the use of ICTs in education. The curriculum
covers introductory concepts of computer science and
basic usage of personal computer, use of word
processor, spreadsheets and presentation software as
well as connection and communication over the
internet. It also deals with the acquisition of some
basic knowledge for the adoption of ICTs in the
educational process by using educational software
products (
Greek Ministry of Education, Pedagogical
Institute, 2005)
. The A-level training program was later
followed by the more advanced B-level ICT teacher
training that addressed basic specialty teachers;
Philology – Language, Mathematics, Physical
Sciences, Informatics, Primary education and
Kindergarten teachers. Today the B-level program
has been totally redesigned and is composed by two
(sub-)levels of knowledge and skills: a. “Introductory
training for the utilization of ICT in school” (B1-
Level ICT teacher training, 36 teaching hours) and b.
“Advanced training for the utilization and application
of ICT in the teaching practice” (B2-Level ICT
teacher training, 42 teaching hours and additional 18
hours for preparing “in-class practice”). The
combination of these two levels equals to the
acquisition of knowledge and skills corresponding to
the integrated training for the utilization and
application of ICT in the teaching process (B-level
ICT teacher training) (
Computer Technology Institute
and Press “Diophantus” CTI, 2016). The B1 as well as
the B2 level programs are also divided in clusters,
depending on the specialty of the teacher. The first
A-level ICT training program for teachers In Greece,
took place between 2001 to 2005 with 83,315
participant teachers and a total budget of 89,661,162
€ (
Greek Ministry of Education, Pedagogical Institute,
2005).
Today, the ICT teacher training program is still
very famous among teachers. Indicatively the last B1-
level program that started in May 2017 and is
scheduled to end in February 2019 has already 24,281
participating teachers.
Based on the above our main hypothesis was that
Greek teachers would be very familiar with using
computers as well as the internet, although it was
unclear as to what extend they use the computer for
educational purposes. Furthermore, a relatively new
parameter that is often ignored when talking about
ICTs in education, are the smart mobile devices
(smartphones and tablets) that are nowadays the most
common means to conduct mobile learning activities.
As far as mobile phones are concerned, we also
expected that teachers would be very familiar with
them and various smartphone applications, as nearly
every mobile phone sold today is “smart”. In order to
examine their pc and smartphone-related skills, as
well as whether mobile devices have penetrated the
Greek schools and to what extent, we used a
questionnaire that consisted of two main parts, one
personal computer and one mobile device-related.
2 METHOD
2.1 The Questionnaire
In order to collect the research data, we created a pilot
questionnaire that was distributed to secondary
education teachers located in the island of Lesvos,
Greece. That questionnaire did not only contain
closed-ended questions but also some open-ended
ones. For instance, teachers were asked to describe
the reasons why they would not use an educational
smartphone application in the context of an
educational activity. The most popular answers were
later transferred in the questionnaire that was finally
used for this research (see appendix), that only
consists of closed-ended questions. The questionnaire
consisted of four parts. The first part contained the
participants’ descriptive data, the second part was
titled “familiarity with personal computers” and
contained seven questions, the third part was titled
“familiarity with smartphones and tablets” and
contained five questions. The fourth and last part of
the questionnaire was titled “Geocaching” and will
not be examined in this article, as we mainly focus on
the ICT literacy of the participants.
2.2 The Participants
Based on the total population of 68,139 secondary
education teachers in Greece and 75 directorates of
secondary education throughout the country, we
targeted a less than 2% error margin. In order to
achieve that we used a 7.55% percentage on the
overall population that resulted in a total of 544
required sample of teachers. We also ensured that our
sample would be representative by calculating the
exact number of responses required by every region.
The questionnaire was sent to hundreds of secondary
education school all over Greece. As a result, the total
number of participants reached 700 from 283
secondary education schools from every region of
Greece (Figure 1).
The ICT Literacy Skills of Secondary Education Teachers in Greece
377
Figure 1: The location of every school that participated in
the survey.
The collected data about the participant teachers
(their age and specialty, as well as information about
their school; whether it is a gymnasium, lyceum or
vocational lyceum and its location) are presented in
Table 1.
Table 1: Survey Demographics.
School
Gymnasium Lycium
Vocational lycium
51.79% 32.71% 15.49%
Specialty
Mathemati-
cal and
Physical
Sciences
Languages
and
Philologi-
cal
Sciences
Informa-
tion and
Computer
Sciences
Engienner-
ing
Sciences
Other
Courses
28.19% 33.77% 18.36% 4.11% 15.57%
Age
23-35 36-50 51+
5.31% 57.53% 37.16%
2.3 Data Analysis
Every question was treated as a single categorical or
ordinal variable, depending on the type of question
and possible responses. For categorical responses,
frequencies and percentages were calculated and the
responses were cross-tabulated to check for statistical
significance with the Chi-square test. For ordinal
variables, descriptive statistics and Spearman linear
correlations were calculated. Before the analysis of
data, we checked the responses for internal
consistency with the use of cross-tabulations between
pre-determined sets of questions that would reveal if
the respondents were consistent in their responses and
therefore if the particular sets of responses would be
used in the overall analysis. These consistency
questions included checking if the responses that
referred to frequency of use of devises – software
were consistent with later responses. SPSS 23 was
used for the analysis.
3 FINDINGS
The following descriptive statistics are presented
either by text, charts or tables and provide an
overview on how much teachers use ICT either for
personal or educational use.
3.1 Descriptive Statistics – Personal
Computers
Out of 700 teachers only 1.1% (8 teachers) answered
that their school does not provide access to a personal
computer, while 99.3% of those enjoying pc access
also have access to the internet. In their personal life
most of the teachers use a computer and the internet
daily. When asked whether they use it for education
purposes (lesson preparation or in-class use), only
2.4% answered “never”. In order to discern the exact
web applications that they use as well as the skills
required, the participants replied on how often they
use certain popular education-related web
applications (Table 2). In comparison with more
popular, globally recognized applications such as
google forms, dropbox etc. the one that Greek
secondary education teachers use the most is
Photodentro (
Greek Ministry of Education, Pedagogical
Institute, 2005
). Photodentro is the Greek National
Learning Object Repository (LOR), and hosts
publicly available reusable learning objects such as
educational videos and software, user generated
content (UGC) and open educational practices
(OEPs).
Although not as popular as Photodentro, “e-me”
is a digital educational platform for pupils and
teachers (Megalou et al., 2015). E-me was created in
order to become the personal working environment
for every pupil and teacher, safe place for
collaboration, communication, sharing of files and
utilization of digital content, a space for the social
networking of pupils and teachers, framework for the
integration and operation of external apps and a space
where the work of pupils, teachers and schools can be
CSEDU 2019 - 11th International Conference on Computer Supported Education
378
Table 2: Web Application Usage Frequency.
Never
%
Rarely
%
Freque
ntl
y
%
Daily
%
Total
%
Forums
(N=480)
41,5 32,5 22,3 3,8 100
E-class
(N=521) 33,2 30,5 31,1 5,2 100
Dropbox
(N=516)
27,1 36,2 30,4 6,2 100
Google drive
(N=563)
16,7 23,1 46,4 14 100
Google forms
(N=497) 34,6 30,4 31,2 3,8 100
Geocaching
(N=442)
90,3 7,7 1,8 0,2 100
GoldHunt
(N=438)
96,1 3,2 0,7 100
Mobilogue
(N=438) 95 4,3 0,7 100
Google Earth
(N=538)
20,6 47,8 29,7 1,9 100
e-me (N=434) 87,6 8,5 3,2 0,7 100
Photodentro
(N=625)
10,7 29,4 54,4 5,4 100
Geogebra
(N=478)
72 13,8 13,2 1 100
made public and showcased (e-me Digital
Educational Platform, 2018)
Although, based only on the above table one can
get an image of what specific tasks are the teachers
able to perform, on a separate question, participants
were asked what specific tasks they feel more familiar
with. The teachers present themselves as very
familiar various tasks, such as registration and login
in various platforms/websites, emails and file
uploading, and less but still on a satisfactory level,
with map usage and cloud operations (Table 3).
Table 3: Web Application Related Skills.
Skills
Never %
Rarely %
Freequently %
Daily %
Total %
Register/login
(Ν=693)
3,6 13,9 41,1 41,4 100
Maps (Ν=689) 9,1 25,7 43,3 21,9 100
File uploading
(Ν=688)
6 19,6 38,1 36,3 100
Cloud apps (Ν=665) 23 24,4 26,8 25,9 100
email (Ν=694) 1,6 3 29,8 65,6 100
3.2 Descriptive Statistics – Smart
Mobile Devices
The third part of the questionnaire focused on
teachers’ familiarity with smart mobile devices such
as smartphones and tablets. Furthermore, we survey
whether smartphones have found their way through
Greek secondary schools, the educators’ views about
their use in the educational process and the obstacles
that prevent them from implementing mobile learning
technics. Educational applications for smartphones
thrive nowadays (Michalakis et al., 2017), (Kohen-
Vacs, D., et al., 2012), as the multifaceted benefits of
mobile learning are now acknowledged by the
educational community (Mehta R, 2016), (Taylor,
J.K., et al., 2010).
62.75% of teachers use a smartphone or a tablet
daily while a 18,77% frequently. At the same time
8.45% of the participants reported that they never use
smart mobile devices.
Figure 2: Smart Mobile Device Usage in School.
As to what kind of mobile applications teachers
feel more familiar with, a worth mentioning result is
that 24.5% report fully accustomed with mobile
educational application while 43.3% are “quite
familiar”. Also, the small percentage of teachers that
are not accustomed to educational apps at all, 10.3%,
is an encouraging sign regarding the future of mobile
learning.
Regardless of the familiarity of teachers with
educational applications, do they use mobile devices
for their teaching needs? The pie chart presented in
Figure 2, suggests not, as 47.85% of the participants
have never used educational mobile application, and
at the same time 34.01% only rarely.
Interestingly, contrary to that pie chart, 81.56% of
participants reported that they would use a mobile
The ICT Literacy Skills of Secondary Education Teachers in Greece
379
educational application in the context of an
educational activity. Furthermore, an impressive
18.44% would use a mobile application more than 10
times per semester, and 30.12% 3 to 10 times per
semester (Figure 3). An explanation for that contrast,
between real and hypothetical implementation of
mobile learning technics can be seen in Figure 3,
where 66.3% of the teachers report prohibition of
mobile devices in schools as the most common reason
why they would not implement mobile learning.
Figure 3: Intention and Obstacles for Mobile Learning
Implementation.
The prohibition of mobile devices in Greek schools is
a topic that will be discussed later in this article, as
possible existence of such prohibition is against the
Greek National Digital Educational Policy, that
promotes ICT in primary and secondary education
(Megalou and Kaklamanis, 2014). At the same time,
possible ignorance of the teachers on the subject
would reveal a simple but also fundamental
malfunction of the country’s education system.
3.3 Statistically Significant Findings
The following findings are the results of an extensive
cross tabulation analysis of the collected data.
Statistically significant are considered only the
findings with a calculated chi-square pi value lower
than 0.05. The two main axes that we will examine
are ICT experience and age.
One of the research findings is that frequent and
experienced everyday computer or smart mobile
device users are also more frequent and more willing
computer or smartphone users for educational
purposes. The analyzes that led us to the above are the
following;
More frequent everyday PC use – more
educational use of PCs;
More frequent internet use – more educational
use of PCs. pi = 0.0002;
More frequent everyday smart mobile device
use – more educational use of PCs. pi =
0.0000027;
More frequent everyday PC use – more willing
to use educational mobile apps in school. pi =
0.002;
More frequent everyday smart mobile device
use – more willing to use educational mobile
apps in school. pi = 3*10
-10
(Table 4);
More frequent everyday smart mobile device
use – more frequent educational use of smart
mobile devices. pi = 25*10
-17
;
More familiar with various mobile applications
– more willing to use educational mobile apps
in school. In all cases pi < 0.05;
More familiar with various mobile applications
– more frequent educational use if smart mobile
devices. In all cases pi < 0.05;
Less frequent everyday PC use – less interested
in mobile learning. pi = 0.004;
Less everyday smart mobile device use – less
interested in mobile learning. pi = 0.044;
The last two observations also confirm the above
finding from an opposite perspective; Non or not
frequent PC or smart mobile device users, are not
interested in applying mobile learning techniques in
their teaching interventions. The above statistically
significant findings confirm that teachers need to be
fully accustomed with the tools they use and therefore
reassuring the need for constant ICT training that
includes mobile technology related courses.
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380
Table 4: Cross-tabulation Analysis; Smart Mobile Device Use and Intention to Conduct Mobile Learning Activities.
Would you use a mobile educational application in the context of an
educational activity
No
Yes, 1 to 3
times per
semester
Yes, 3 to 10
times per
semester
Yes, more than
10 times per
semester
Total
Do you use
smart phones
or tablets?
Never Count 34 11 8 6 59
Expected Count 14 16,4 17,7 10,9 59
Rarely Count 22 22 18 8 70
Expected Count 16,6 19,5 21 12,9 70
Frequently Count 34 46 28 22 130
Expected Count 30,8 36,2 39 24 130
Daily Count 74 114 154 92 434
Expected Count 102,7 120,9 130,3 80,2 434
Total
Count 164 193 208 128 693
Expected Count 164 193 208 128 693
Pearson Chi-Square Test: Value: 63,248a df: 9 pi: 3,2E-10
Table 5: Cross-tabulation Analysis; Teachers’ Age and Educational PC Use.
Do you use a PC for your teaching needs?
Never Rarely Frequently Daily Total
What is your
age?
23-35 Count 2 2 21 12 37
Expected Count 0,9 4 17,9 14,2 37
36-50 Count 5 37 188 169 399
Expected Count 9,8 43,1 193,5 152,7 399
51+ Count 10 36 128 85 259
Expected Count 6,3 27,9 125,6 99,1 259
Total
Count 17 75 337 266 695
Expected Count 17 75 337 266 695
Pearson Chi-Square Test: Value: 14,735a df: 6 pi: 0.022
Another interesting finding of our research
suggests that teachers between 36 to 50 years of age
are more frequent PC users for educational purposes,
pi = 0.022 (Table 5), although younger participants
are more frequent and experienced smartphone/tablet
users. At first, the above finding is surprising, but
given the high unemployment rate of young teachers
in Greece, and the handful of years required in order
to acquire teaching experience, teachers aged
between 36 to 50 are indeed readier to adopt alternate
teaching technics and material.
4 DISCUSSION & CONCLUSION
This research focuses on secondary education
teachers’ ICT literacy and not in-school ICT use. All,
(except one mobile learning activity related),
questions regarding educational use of ICT by
teachers do not provide data about ICT use during the
lesson but indicates how much teachers use ICT
either for lesson preparation or any other teaching
related purpose, regardless of the teaching method
they eventually apply.
Personal computer and internet use percentages
are high amongst Greek teachers, while almost all
schools provide pc and internet access. Meanwhile
during 2018 the Greek ministry of education supplied
many schools with new ICT equipment, indicating
that school equipment may not be as outdated as it
used to in previous years. Also, the vast majority of
teachers use personal computers for educational
purposes and the frequent use of photodentro LOR
indicates that the development of such quality
material is worth it, as teachers acknowledge its
significance.
The ICT Literacy Skills of Secondary Education Teachers in Greece
381
As far as smart mobile devices are concerned,
teachers are also frequent users, while most of them
also report fully accustomed with various tasks. In
comparison with personal computers, mobile devices
are not used for educational purposes yet, although
81.56% of the participants reported that they would
conduct a mobile learning activity multiple times per
semester. Comparing that percentage with the one
that indicates how many of the teachers actually use
a mobile device for educational purposes, 52.36%,
and taking into account the fact that that percentage
does not only represent mobile learning activities but
every education-related use, Greek teachers although
willing, they do not actually embrace mobile learning
in their teaching interventions. An explanation could
be looked for in the reasons why the rest 23.63%
reported that they would never conduct such an
activity (N=163). 66.3% reported that mobile devices
are prohibited in school. Furthermore, in a later
question of the same questionnaire, that is not
considered in this paper, all participants were asked
to report the main factors that should be taken into
account when conducting a mobile learning activity
(N=617). 37.1% of the participants reported the same
prohibition. A simple google search confirmed that
by the time the survey took place (December 2017
until June 2018) mobile phone use by secondary
school students was prohibited, with no exceptions.
In December 2006 the Greek ministry of education
prohibited the use of mobile phones in schools. In
exceptional cases students were allowed to carry their
turned-off phone in their bag. In September 2012 the
same prohibition was also applied to all similar
devices that could record images and sounds, such as
cameras. Since then, the first mobile-learning-
friendly ministerial decision was issued in August
2016 with the subject “Use of Mobile Phones and
Electronic Devices in School Units”. The document
prohibits students carrying mobile phones or “any
other electronic device or game that features an image
and sound processing system within the school space.
Equivalent equipment available to them by the school
they attend is used during the teaching process and
the educational process in general and only under
teacher’s supervision” (Computer Technology
Institute and Press “Diophantus” CTI, 2016). The
document also enables teachers to carry their own
devices for teaching purposes, and it also states that
uploading photos and videos, in which pupils are
depicted, on school websites should be avoided due
to personal data regulations. That circular although
allowing mobile phone use in schools for educational
purposes, was only referring to primary education,
thus retaining previous prohibitions to secondary
education schools, and leaving secondary education
teachers who wanted to apply mobile learning
vulnerable to the law. Eventually in June 22, 2018, an
almost identical circular was forwarded to all
education principles and all primary and secondary
education schools of the country, enabling for the
first-time secondary education teachers to implement
mobile learning technics. Even though such issues
should be addressed long before 2018, our findings
suggest that mobile learning has the potential to thrive
in Greece’s secondary education, for three reasons;
Teachers are willing. Especially if we consider
that the majority of the small percentage of teachers
that would not conduct a mobile learning activity,
reported so because of the until recently mobile phone
prohibition.
Teachers are familiar and skilled smart mobile
device users. As another one of findings suggest,
those are two important conditions that favor the
implementation of ICT in the classroom.
ICT teacher training programs and the general
effort put in the ICT field by the ministry of
education, such as photodentro and e-me are very
promising signs of an educational system that is
willing to adapt to the 21
st
century.
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APPENDIX
The questionnaire contained the following questions;
1) In what type of secondary school do you teach?
a) Gymnasium b) Lycium c) Vocational Lycium
2) Where is your school located?
3) What lesson do you teach?
4) What is your age?
a) 23-35 b) 36-50 c) 51+
5) Does the institution you teach, give you access to a
computer?
a) Yes, for teaching only b) Yes, for personal use
c) Yes, for administrative support d) No PC access
6) If yes, does it provide internet access?
a) Yes, for teaching only b) Yes, for personal use
c) Yes, for administrative support d) No PC access
7) Do you use personal computer outside the school for
personal use?
a) Never b) Rarely c) Frequently d) Daily
8) If yes, how often do you use the internet?
a) Never b) Rarely c) Frequently d) Daily
9) Do you use a computer for educational needs? (eg
teaching, lesson preparation etc.)
a) Never b) Rarely c) Frequently d) Daily
10) If yes, which of the following online applications do
you use and how often?
Fora, e-class, dropbox, Google drive, Google forms,
Geocaching, Goldhunt, Mobilogue, Google earth, e-
me, Photodentro, Geogebra / a) Never b) Rarely c)
Frequently d) Daily
11) How familiar are you with the following types of web
applications?
Applications requiring user registration and login,
Applications using maps, Applications for file
uploading, Cloud applications, Email applications / a)
Not at all b) A little c) A lot d) Fully
12) Do you use smartphones or tablets?
a) Never b) Rarely c) Frequently d) Daily
13) How familiar are you with the following types of
mobile applications?
Social media, News applications, Map applications,
Educational applications, Entertainment applications,
Applications using GPS features / a) Not at all b) A
little c) A lot d) Fully
14) Do you use any mobile application for educational
purposes?
a) Never b) Rarely c) Frequently d) Daily
15) Would you use a mobile educational application in the
context of an educational activity?
a) No b) Yes, 1 to 3 times per semester c) Yes, 3 to 10
times per semester d) Yes, more than 10 times per
semester
16) If not, for what reasons?
a) Practical - Technical Difficulties b) Mobile Phones
are Prohibited c) Poor Educational Outcomes d) I am
not Interested
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