- Open Access
- Total Downloads : 773
- Authors : Faruque A. Haolader, Kasagga Usama
- Paper ID : IJERTV1IS9426
- Volume & Issue : Volume 01, Issue 09 (November 2012)
- Published (First Online): 29-11-2012
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
ICT Competence Of TVET Trainee-Teachers: A Case Study In Islamic University Of Technology
Faruque A. Haolader1 And Kasagga Usama2
Department of Technical and Vocational Education
Islamic University of Technology (IUT), Organization of Islamic Cooperation (OIC) Dhaka, Bangladesh
Abstract
The importance of ICT in empowering teachers and learners, and enhancing teaching and students achievement has been highlighted in several studies. ICT integration in the developing nations needs to be addressed so as to ensure total integration of ICT in the school curriculum. This study examines the level of basic ICT competence of technical and vocational education training (TVET) trainee-teachers from different OIC countries. The differences in basic ICT competence of the trainee teachers having different educational background were also examined. The data was collected through a competence test and it was analysed using percentages, means, and t-test statistics. It has been found that the majority of the TVET trainee teachers were competent in the field of ICT. However, trainee-teachers coming from Computer Science and Engineering (CSE) background did relatively better than the trainee- teachers from Mechanical and Chemical Engineering (MCE) and Electrical and Electronic Engineering (EEE) groups. The ICT competences of the MCE and EEE groups were found similar.
Keywords TVET trainee-teachers; ICT Competence; TVE
-
Introduction
Information and communications technologies (ICT) are a diverse set of technological tools and resources used to communicate, and to create, disseminate, store, and manage information. Communication and information are at the very heart of the educational process, consequently ICT- use in education has a long history. ICT has played an educational role in formal and non-formal
settings, in programs provided by governmental agencies, public and private educational institutions, for-profit corporations and non-profit groups, and secular and religious communities.
The use of information and communication technology (ICT) is becoming an integral part of education in many parts of the globe (Sala, 2004; Kuntoro& Al-Hawamdeh, 2003; Leidner&Jarvenpaa, 1993). Bangladesh is not left behind as ICT gradually finds its way into the educational systems (Ajayi, n.d.; Darkwa & Mazibuko, 2000; Brown, 2002; Darkwa&Eskow, 2000) despite chronic limitations brought about by economic disadvantages (Adesola, 1991).
The potentials of information and communication technology (ICT) to facilitate students learning, improve teaching and enhance institutional administration had been established in literature (Kazu & Yavulzalp, 2008; Kirschner & Woperies, 2003). The use of information and communication technology as a tool for enhancing students learning, teachers instruction, and as catalyst for improving access to quality education in formal and non-formal settings has become a necessity.
The fundamental strategies of higher education institutions outline the need to form citizens able to participate responsibly in all the fields of social life, and act productively and creatively in the development of their functions. In addition, they encourage the curricular design centred in learning and based on competencies; including proficiency in ICTs, as one of the alternatives that allows achieving the objective of education and pertinence in relation to the transformations occurring in the world.
Huerta, Perez and Castellanos (2000), consider that the globalised world requires an increase in the productivity of social actors. They have also highlighted the need for mechanisms that allow changing the educational process with respect to the organization, contents and teaching methods in order to connect education more effectively with the real work, to acquire qualified staff capable of responding to the needs of production, technological innovation, the management of ICTs and competition in global markets.
The development of competencies is proposed as an approach that is closer to the needs of the labour market (Ben Youssef and Dahmani, 2008). It can be said that competent persons, in any given profession, are those who perform well the role that is expected from them. This definition corresponds with Ibarras (Estévez et al., 2003: 5), who defines competencies as a set of abilities, skills, knowledge, and attitudes needed for optimal performance in a given occupation or productive role. Linking this concept to ICT competencies, it can be said that the latter are a group of skills, knowledge and attitudes that are applied to the use of information and communication systems, including the equipment involved, and specifically, according to Godoy (2006), the ability to make Web designs, manage presentations, databases, graphics software, spreadsheets, online bibliographic databases, web browsers, e-mail and chat applications, and word processors, among others. ICT skill is one of the employability skills recommended by UNESCO (UNESCO-UNEVOC, 2011; Dlamini, P., 2011).
The main objective of this study was to investigate the competence of TVET trainee teachers in the field of information and communication technology (ICT). Therefore, this study examined: (1) the level of competence of trainee-teachers in using the ICT.
(2) The influence of educational background on TVET trainee-teachers competence in ICT.
The study was guided by the following questions:
(1) Whether TVET trainee-teachers have the basic competencies in field of basic ICT. (2) If there is any difference in the level of ICT competence of the trainee-teachers with background of computer science and engineering, electrical and mechanical engineering.
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Scope and Methodology
This study measured ICT competence of TVET trainee-teachers from different OIC countries including Comoros, Uganda, Nigeria, Afghanistan, Yemen, Senegal, Gambia, Somalia, Pakistan and Bangladesh. The Trainee-Teachers are pursuing Bachelor of Science in Technical Education (B.Sc.TE) at the Department of Technical and Vocational Education of Islamic University of Technology. The number of teachers (participants) was 36. Among these participants: 10 have electrical engineering background, 10 mechanical engineering and 16 computer science and engineering background. There were no female trainee teachers. The data was analyzed quantitatively.
Test Instrument
The aim of the test was to find out the level of basic ICT competence of TVET trainee teachers. The test instrument used for this research was developed by the authors. However, some test- items were taken from standardized test designed by the Qualifications and Curriculum Authority in London and some were self-designed. It consists of 30 Multiple-Choice Items. The test measured five categories of ICT competences of the trainee teachers. The duration of the test was 30mins. Category A included six questions on Basic computer operation and issues it measured the competences such as data protection, I/O devices, data storage, PC operation and basic commands. Category B contained 6 questions and focused on Use of office application software. it measured the competences such as editing and formatting word document, basic understanding of office applications, etc. Category C contained 7 questions and focused on use of internet resources. It measured the competences such as health and safety issues, basics of Internet, e-communication skills etc. Category D contained 6 questions and focused on use of Peripheral ICT equipment. It measured the competences such as different pats of computer, printer, scanners, cameras etc. Category E contained 5 questions and focused on Graphical software. It measured the competences such as photo editing, digital image capturing, image formats etc.
To validate the test, it was presented to experts/ teachers. They reviewed the items. These teachers/ experts have a long teaching and/or industry
experience in the field of ICT. They have assessed the test questions on the basis of a five-point leickert type scale. They were asked if the content of these questions were relevant to basic ICT Skills. Furthermore, this questionnaire asked: the degree of complexity and comprehensibility.
The results of this assessment are shown in Figure 1 to 3.
Figure 1: ICT-relevancy of the tasks assessed by experts/teachers
Figure 2: The degree of comprehensibility of the task assessed by experts/teachers
Figure 3: The degree of complexity of the task assessed by experts/teachers
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Findings:
Competency level of TVET trainee-teachers
The quantitative data was analyzed statistically using mean, standard deviation, bench mark to present the details about the competence of trainee- teachers in the field of ICT. Furthermore, T-test and ANOVA was used to find the answer of the research questions. Bench mark was defined as: (Very competent = more than or equal to 85%, competent = 84% -70%, average = 69% -55% and not competent= below 55%) (IUT CALENDAR, 2011), pp 43).
The competence test results show that TVET trainee teachers have an average level of competency as compared to the Bench Mark given above. The average points achieved by trainee teachers were found above 55%. The Table 1 and Figure 4 show the statistics and the histogram of the scores, respectively.
Mean |
N |
SD |
Min |
Max |
67.228 |
36 |
12.43 |
33.3 |
90 |
Table 1: Statistics of trainee teacher achievement in competency test
Figure 4: The histogram of score obtained by TVET trainee-teachers.
In this study we also investigated that if any difference in ICT competence of the trainee teachers having different educational background. The histograms of the marks obtained by these three groups of trainee-teachers are shown in Figure 5 to 7.
The data of these three groups were analyzed using the ANOVA test. It is seen, as in Table 2, that the three groups (CSE, EEE and MCE) differ with F value = 4.115 and the significance level p is 0.025.
Table 2: The differences among three groups of trainee- teachers having different educational background.
Sum of Squares |
df |
Mean Square |
F |
Sig. p |
|
Between Groups |
1080.228 |
2 |
540.114 |
4.115 |
0.025 <0.05 |
Within Groups |
4331.579 |
33 |
131.260 |
||
Total |
5411.807 |
35 |
Figure 5: The histogram of score obtained by trainee- teachers having Computers Science and Engineering background.
Figure 7: The histogram of trainee-teachers having Electrical engineering background.
Figure 6: The histogram of trainee-teachers having Mechanical Engineering background.
The findings shows that trainee-teachers competence in ICT differs significantly, compared to the p-value + 0.05. However, it may happen that not all three groups differ from each other. There may be trainee-groups whose performances are more or less similar.
The Student Newman-Keuls test, also labeled as
post-hoc analysis, was applied in order to make a posteriori pair-wise comparison. The results of this test are given in Table 3.
Table 3: Homogeneous subsets of different backgrounds in TVE
Student-Newman-Keuis |
||
Subset of backgrounds |
||
Background |
N |
1 |
MCE |
10 |
61.690 |
EEE |
10 |
63.000 |
CSE |
16 |
73.325 |
Sig. p |
0.05 |
In Table 3 all the three groups of trainees with different backgrounds belong to subset 1. It shows that these three groups do not differ among themselves so significantly, because it lies only on the p-value = 0.05.
Therefore, the results of the two tests (the ANOVA and the Student Newman-Keuls test) conducted above contradict each other. But, based on our own observation, particularly the statistics from Figure 5 to 7, we can say that the performance of MCE- Group and EEE-Group are similar, and the performance of CSE-Group is relatively better compared to other two groups.
TVET trainee-teachers ICT competency in different task categories.
To further examine trainee teachers ICT competence the test items in five different categories as mentioned earlier, the test in table 4 scores are presented (categories-wise) of ANOVA shows that Fcal = 1.737and Fcri = 2.68 as Fcal was less than Fcri. The Sig. = 0.162greater than 0.05, which means that the differences between the task categories have no significant.
Table 4: Statistics of TVET trainee-teachers competencies on different task categories.
Categories |
Mean in % |
Std. Deviation |
Basic computer operation and issues |
71.719 |
20.2665 |
Use of office application software |
73.581 |
21.2306 |
Use of Internet Resources |
73.786 |
16.9123 |
Peripheral ICT Equipment |
65.556 |
16.9780 |
Graphical software |
51.369 |
21.5784 |
Total |
67.202 |
21.0652 |
Table 5: Comparison of trainee teachers competency on different task categories: results of ANOVA.
Df |
Mean square |
F |
Sig. |
3 |
611.249 |
1.737 |
0.162 |
The Student Newman-Keuls test, also labeled as
post-hoc analysis, was applied in order to make a posteriori pair-wise comparison. This test reveals the differences between categories. The results of this test are given in Table 6.
In Table 6 Category Graphical software tools
within Subset 1 attained a category average of only
51.37 points (the lowest category average), whereas, other Categories which belong to subset 2 do not differ among themselves so much (p-value 0.281).
Table 6: Homogeneous subsets of different categories.
Student-Newman-Keuls
Category |
N |
Subset for alpha = 0.05 |
|
1 |
2 |
||
Graphical design |
36 |
51.369 |
|
Use of Peripheral ICT Equipment |
36 |
65.556 |
|
Basic computer operation and issues |
36 |
71.719 |
|
Use of office application software |
73.581 |
||
Use of Internet Resources |
73.786 |
||
Sig. |
1.000 |
0.281 |