Microsoft Word - Aluko.docx


 ISSN: 2311-1550 

 
2022, Vol. 9, No. 3, pp. 420-435 

 
This work is licensed under a Creative Commons Attribution ShareAlike 4.0 International License. 

 
 

 

Enhancing the Digital Literacy Experience of Teachers to Bolster 
Learning in the 21st Century 

Folake Ruth Aluko and Mary Ooko 

University of Pretoria 

Abstract: The interconnected constructs of education in the 21st century cannot be divorced from teacher 
training. This article reports on the digital literacy experience of teachers amidst the worldwide 
recommendations of using distance learning and open educational applications to address education 
during the COVID-19 pandemic lockdown. Altogether, 840 participants were purposively selected from 
urban, semi-urban, and rural areas in South Africa; 217 completed an online qualitative survey, while 23 
took part in three virtual focus-group discussions. Van Dijk’s Resources and Appropriation Theory 
guided the study. Data analysis involved descriptive statistics and thematic analysis. The findings 
revealed the gaps between what is expected of teachers and their own realities, besides teachers’ 
eagerness to be involved in digital literacy. Recommendations include the need to continually align the 
teacher education curriculum with the country’s skills need and to provide teachers with the required 
support. Associated directions for further research are suggested. 

Keywords: early years education, 21st-century skills, digital literacy, teacher education curriculum, 
resources and appropriation theory. 

Introduction 
The emergence of advanced “information and communication technologies (ICTs)”, a term also used 
interchangeably with “technical devices” in this article, has accentuated the difference between the 
skills needed by learners in the 21st century in terms of professional life, citizenship and self-
actualisation from those that were needed in the 20th century (Tican & Deniz, 2018). In a Brooking 
report, Madden and Kanos (2020), indicate that few Africans are acquiring the competencies they need 
for 21st-century occupations. Therefore, in many countries, government and educational institutions 
are providing support to modernise the technical equipment of schools and to develop learning 
materials for teachers at diverse levels of progress (Marci-Boehncke & Vogel, 2018). 

African schools have their own challenges, and the current COVID-19 pandemic has further exposed 
these. As of March 30, 2020, over 87% of the world’s student population — 1.5 billion children and 
youth — have been affected by school closures in more than 180 countries (United Nations 
Educational, Scientific and Cultural Organization [UNESCO], 2020). According to the UNESCO 
report, recovery will be more difficult for most African countries due to serious economic and 
technological challenges — an assertion also confirmed by similar studies on the continent (Krönke & 
Olan’g, 2020; Madden & Kanos, 2020; United Nations, 2019). Due to the seriousness of the COVID-19 
pandemic in South Africa, various lockdowns were imposed on the country with devastating effect on 
education. The periods saw an introduction of rotational attendance, irregular school closures and 
days off for specific grades with a loss of a full academic year (UNICEF, 2021). The report in addition 



 

 421 

asserts that about 750,000 children, especially those living in informal and rural settings, due to 
poverty, are out of school. As a result of the pandemic, recommendations worldwide were to use the 
distance learning mode and open educational applications to address teaching and learning during 
this period. Although these recommendations have highlighted the enormous inequality challenges 
facing South Africa’s education system, they could be the catalyst for action to address them 
(McDonald, 2020). 

Digital divides are complex and constantly evolving, and they refer to differences in access to ICTs 
(for instance, personal computers and mobile phones) and purposeful use of them (as determined by 
outcomes) by individuals, or by social or political units (Skaletsky et al., 2017). Factors that have an 
impact on who has access to technology, what kind of technology people have access to, and who can 
use technology include age, educational level, income level and behaviour (Umugiraneza et al., 2018). 
Others are policy guidelines, school support, and investment in ICT in the schools (Mustapha et al., 
2020). Skaletsky et al. (2017) argue that difficulties with ICT access have an impact on the society 
involved and cause them to suffer unequal benefits and unequal participation, thus leading to social 
injustice. 

In the 21st century, ICTs are invariably linked to education; therefore, teachers are expected to be 
familiar with the various pedagogical approaches to appropriately use them in promoting the 
development of their learners’ 21st-century skills (Valtonen et al., 2017). However, this is not possible 
if teachers have been neither adequately prepared nor assisted to take up this role. There is a gap 
between the curriculum of teacher education, societal needs and the world of work, which is a 
problem that is not exclusive to South Africa (Zeichner, 2014). The implication of this is that higher 
education institutions will continue to churn out graduates whose skills are not relevant to the needs 
of the society, with no return on investment for the government and the public in general. 

Studies in Africa have revealed that the majority of teachers lack essential technological knowledge 
and need extensive professional development to apply technology in teaching (Aluko, 2019). This is 
also very true in the South African context, where this study was conducted (Torres & Giddie, 2020). 
To access appropriate ICTs and improve digital competence, there is the need for digital literacy, 
which is widely understood as an inter-related set of skills that are vital for success in the digital age 
(List, 2019). Teachers’ lack of ICT knowledge and skills is a key barrier to effective teaching, as 
teachers need to be conversant with digital media cultures that are vital for learners. They must also 
be able to use technology pedagogically in ways that are appropriate to the subject(s) being taught 
(Amhag et al., 2019; Torres & Giddie, 2020). 

The current study examines to what extent educators were able to cope with teaching and learning 
during the COVID-19 pandemic. The main research question that guided our study was, Given the 
worldwide recommendation of using the distance learning mode and open educational applications to address 
teaching and learning during the COVID-19 pandemic lockdown, how were teachers in our context able to 
continue with teaching? The emphasis was on the digital literacy experience of teachers enrolled as 
distance education students in three geographical areas (rural, semi-urban and urban). The Resources 
and Appropriation Theory adopted for the study assisted the researchers to probe factors beyond 
physical access that affected educators’ use of technology for teaching (Van Dijk, 2005, 2017). 

 



 

 422 

Theoretical Background 
The authors adopted Van Dijk’s Resources and Appropriation theory (Van Dijk, 2005, 2017). The term 
digital divide, which originated in the mid-1990s (Casado-Muñoz et al., 2015), has been widely 
investigated from the lens of individualism, which is only descriptive in nature (Wellman & 
Berkowitz, 1988). Unfortunately, according to Van Dijk (2013), this kind of view only “measures the 
properties and attitudes of individual respondents’ without necessarily giving reasons for the results. 
Therefore, the theorist situated his work in the ‘relational or network’ notion of inequality, which pays 
attention to the ‘positions of individuals and the relationships between them” (29). According to Van 
Dijk (2017), definite inequalities in society produce an “unequal distribution of resources that causes 
unequal access to digital technologies”(3), and this “brings about unequal participation in society”. 
Based on these core arguments, Van Dijk identified four successive phases of access that are briefly 
described below: 

1. Motivation: to appropriate a technology, one should first be motivated to use it. 

2. Physical and material access: when sufficient motivation is developed, one should be able to 
acquire physical access (e.g., to a computer, internet) and material resources (e.g., battery — an 
example of computer components). However, these will not automatically lead to its use. 

3. (Mastering of) digital skills: the acquirer needs to develop the needed skills to make 
appropriate use of the technology. 

4. Usage: this can be measured by the frequency of usage (Van Dijk, 2013), however, to transform 
instruction, this would depend on the purpose for which it is used.  

The phases are recurrent because they are repeated wholly or partly with new technology or 
innovation (Tusiime et al., 2019). 

Two of the criticisms levelled against the theory are that it might be less applicable in a society that 
has greater equality in socioeconomic status and resources, and that the full amount of information to 
operationalise the model is difficult to obtain for large samples (Pick & Sarkar, 2016). However, both 
criticisms are not applicable to this study because our context is largely divided regarding access to 
ICT and its usage, and our sample is not large. 

In addition, we  found Van Dijk’s Resources and Appropriation theory relevant to our study because 
it goes beyond the individual notion of inequality to focus on the relational notion of inequality. The 
latter has assisted us to further examine factors that are beyond individuals regarding access to 
technology and its usage, especially in relation to the focus of our study — teachers’ inability to meet 
up to society’s expectation during the pandemic lockdowns.  

Methods 
Research Design 

We adopted the explanatory sequential mixed-methods research design involving the use of a survey 
and focus-group discussion in order to involve more students and to strengthen the findings 
(Creswell, 2014). In addition to our gaining a deeper understanding of teachers’ digital literacy 
experience, our choice of design was necessitated by the strenuous technological conditions under 



 

 423 

which our distance education students were studying, worsened by the pandemic. We had envisaged 
the latter would have impact on the rate of response to the online survey.  

Population and Sample 

The strategy of non-probability, convenience and purposive sampling was used (Etikan et al., 2016). 
The sampling was convenient and purposeful because the participants were easily accessible to the 
researchers and were relevant to the study.  Distance education programmes at the unit of study are 
for the upgrading of teachers’ qualifications. A full programme is divided into Blocks (1-4) made up of 
a six-month cycle. Therefore, the population consisted of 2,970 educators (the total number of enrolled 
students), while the sample was 840 Block 1 students enrolled for the Bachelor of Education (BEd) 
Honours (Hons) Teacher Education and Professional Development (TEPD) distance education 
programme at a university in South Africa. Block 1 students refer to newly enrolled students, who we 
expected to be more familiar with technology usage for teaching and learning than students from the 
earlier blocks.  

Context 

The participants were from three geographical areas tagged rural, semi-urban and urban. Rural refers 
to schools in the countryside; semi urban implies schools in somewhat, but not wholly, urban areas, 
and urban refers to schools in the city (Urban Dictionary 2020). According to Atkinson (2014), the 
categorisation of the South African society is complex, especially due to its historical past. This has 
also impacted current educational landscapes regarding who has access to educational resources and 
technological gadgets (Torres & Giddie, 2020). Therefore, our categorisation was based on physical 
features (such as access to ICT infrastructure and electricity), especially with reference to our study 
and for analysis purposes. 

Of the 840 sampled Block 1 students, 217 (25.83%) participated in the survey. These were comprised of 
rural (n = 128, 58.99%); urban (n = 45, 20.74%); and semi-urban (n = 44, 20.28%). 

Twenty-three participants took part in the focus group discussion (rural: n = 7; semi-urban: n = 9; 
urban: n = 7). 

Instruments 

The survey contained 10 questions made up of closed and open-ended questions (text-entry) that had 
been developed in Qualtrics. These were divided into two sections: biographical information (two 
question items) and digital experience (eight question items). The latter covered questions on technical 
devices and access; usage frequency; integration of technology into lessons; benefits (to both teaching 
and learners); preparation for usage (relevant module at university and in-service training — INSET); 
areas where teachers need support; and recommendation or non-recommendation of the use of 
technical devices to others for teaching and learning. 

The guide for the focus-group discussion was developed based on the data we gathered from the 
survey. Our aim was to generate more in-depth knowledge on the sections than we had obtained from 
the survey. 

The development of both instruments was informed by the adopted theory and relevant literature. 

 



 

 424 

Procedure 

Survey 

Each of the 840 sampled Block 1 students received a short message service (SMS) to prepare them for 
the data collection. The content is provided in Table 1. 

Table 1: SMS content sent to sampled participants 
Dear student, distance education research helps us to serve you better. Thank you for completing this survey. 
UP. 

The SMS was followed by the survey, to which 217 students responded. 

Focus-Group Discussion 

In preparation for the focus-group discussion, the researchers first sent an SMS to the 217 respondents. 
The purpose was to: alert them to the planned focus-group discussion; request their voluntary 
participation; and to request their geographical area, a contact number and their student registration 
number. A total of 70 students responded but we purposively invited the first 11 students who 
submitted all the requested information per geographical area. The virtual discussions were zero-
rated for the participants and they took place at different time slots on different days. 

Data Analysis 

Qualtrics analysed the closed question items (five) in the survey using descriptive statistics. We 
exported the open-ended data and read all the responses of the participants to each of the open-ended 
questions in order to group the data. We re-read them and categorised the responses into themes. 

The analysis of the discussion data involved the transcription of the focus-group discussion 
recordings, coupled with familiarising ourselves with the data by reading it over several times. This 
led to the development of codes, from which we generated themes, and we subsequently reviewed 
and named the themes (Creswell, 2014). Table 2 depicts the themes and sub-themes generated from 
the data. The theory adopted for the study assisted us in interpreting the data. 

 

 

 

 

 

 

 

 

 

 

 



 

 425 

Table 2: Themes and sub-themes that emerged from the data analysis. 

Theme Sub-theme 
Technical devices and access Access to technical devices and source 

Kinds of technical devices and usage frequency 
Integration of technical devices and benefits 
Technical support 
Reason for non-access or limited access 

Preparation for ICT usage Preparation during teacher training 
Coping with no training 
Digital experience 

Virtual teaching during lockdown and 
support 

Virtual teaching during lockdown 
Technical support during lockdown 

Teachers’ willingness to use technical 
devices 

Willingness 

Areas in which teachers need 
assistance 

Support 

Advice to stakeholders Teachers and management 
Teacher training institutions 
Government 

Ethical Issues 

The unit that manages distance education obtained ethical clearance from the faculty to conduct 
research with enrolled students as participants. The information is included in the application form 
and in the students’ Administration Booklet. The discussions were recorded with the participants’ 
permission. They were reminded of their right to anonymity and the voluntary withdrawal nature of 
the discussion. 

Results 
Findings from both sets of data are presented in a corroborative way that supports the findings from 
both instruments. 

Theme 1: Technical Devices and Access 

Access to Technical Devices and Source 

The feedback on teachers’ access to technical devices shows that most of the participants were 
struggling. While few in the urban areas were privileged to be working in private schools, others who 
did not fall into this category lamented the inadequate devices that were available for teachers and 
learners. Most bemoaned the slow process of change, partly due to rigidity on staff’s part and lack of 
funds. 

In most cases, participants from both the rural and semi-urban areas used their own technical devices, 
such as laptops and mobile phones. Most participants indicated their schools were wi-fi connected; 
however, some — from both rural and urban areas — did not have access to the internet. 

 

 



 

 426 

Kinds of Technical Devices Used and Usage Frequency 

Findings from the survey showed our participants had access to more than one technical device — 
mostly mobile phones and computers (n = 89, 22.31%). Some reported having internet connectivity (n 
= 49, 12.28%), a projector (n = 40, 10.03%), an interactive whiteboard (n = 30, 7.52%), or an iPad (n = 2, 
0.50%). Other technologies mentioned by participants included a blackboard, a laptop, a whiteboard 
and television. Only 80 (20.05%) participants indicated they had access to electricity that was needed 
to power almost all these devices. When the power went off, schools (apart from some private schools) 
had no other back-up, except to revert to the ‘chalk-and-talk’ method of teaching or the use of a 
whiteboard. The feedback that was received showed that most of the participants were struggling. 

About a third (n = 44, 30.56%) indicated that they ‘always’ used technology for teaching; 21 (14.58%) 
‘often’; 54 (37.50%) ‘sometimes’; 9 (6.25%) ‘seldom’, and 16 (11.11%) ‘never’ used technology. In 
summary, this implies that although some participants did not use technical devices for teaching, the 
majority used such devices regularly. 

Integration of Technology and Benefits 

Some participants indicated they made extra copies of notes to save time so that there would be 
enough time for teaching and learning; they used projectors and downloaded videos from YouTube 
for most of their lessons. Only a few in the urban areas made videos, sent voice notes to students, and 
created electronic assignments. This group found the use of technology beneficial because it increased 
their teaching efficiency, exposed them to different teaching methods, and improved communication 
between them and their learners. Learners also benefited greatly because they could get immediate 
feedback, collaborate with their peers and work at their own pace. Technology was indeed found to 
cater for diverse learning styles. 

Those participants who did not use technical devices in their teaching lamented learners’ lack of 
access to resources and their lack of data. 

Technical Support 

Participants from the three areas (urban, semi-urban and rural) had some form of technical support, 
although many complained that it was inadequate. Examples of such support are an ICT Department 
at school, an ICT circuit cluster formed in a rural area, service providers and assistance from a 
publishing house. 

Reasons for Non-access or Limited Access 

Reasons for non-access or limited access to technical devices cited by participants from both rural and 
semi-rural areas included limited network coverage, lack of budget and sponsorship, school 
managers’ resistance, and technophobia. Commenting on the side-effects of these challenges, a 
participant bemoaned,  

We are not preparing learners for the Fourth Industrial Revolution. They don’t know how to use 
(technology) in a way that will help them educationally or prepare them for university. This is 
like they are competing with learners that are at different level with them. I think it’s a barrier for 
them … (Focus Group Discussion Rural 1 — FGDR1).  

This quote brings to the fore the inequalities in society. 



 

 427 

Table 3 reflects further some examples of participants’ responses to Theme 1. 

Examples of Participants’ Responses to Theme 1 
Table 3: Participants’ Responses Illustrating Theme 1 

Number Sub-theme Data Source Response 
1.1 Access to technical 

devices and source 
Discussion (urban) “I have a laptop, there is a projector and the 

learners have their desktop computers.” 

Discussion (semi-
urban) 

“I think at my school, we have less than 20 
tablets (to) more than 1,900 learners.” 

1.3 Integration of 
technology and 
benefits 

Survey (urban) “It gives me more information on my teaching 
and makes teaching complex life processes 
easier.” 

Survey (semi-urban) “I would like to use Google forms, Kahoot, etc 
… but the learners have trouble accessing data 
or the correct devices.” 

1.4 Technical support Discussion (urban) “… we do not have any ICT support, so we 
have to go out of our way to help (one 
another).” 

1.5 Reasons for non-
access/limited access 

Discussion (semi-
urban) 

“… no budget; previous laptops were stolen; no 
sponsors.” 

Theme 2: Preparation for ICT Usage 
Teachers’ Preparation the Use of Technology During Preparation Period as a Student-Teacher 

Over half of the respondents (n = 73, 53.28%)  indicated they did not receive any ICT training, 
although one participant indicated this might be due to the period when a teacher studied. Those who 
did receive training cited a few ICT modules they completed at university, for example, technology-
integrated learning, basic computer literacy, ICT for educators, and how to use smart boards and 
smart apps. 

Coping with No Prior Training 

The majority of the 133 respondents (n = 99, 74.44%)  indicated that they had not received any in-
service training related to ICT usage. Two of those who had, cited a publishing house and a training 
arranged by the department (which has been discontinued), while the rest were self-taught. While 
private schools in many instances were reported to train newly employed staff, some of the 
participants unfortunately complained about the quality of the training. Nonetheless, none of the 
participants indicated that they had received training on how to use technology to teach in their 
learning areas. 

Digital Experience 

Many of the participants felt their digital experience was average, with only one participant indicating 
he was comfortable. He did, nevertheless, lament the burden of being almost the only one among 
many. Some of the participants indicated that many teachers can neither use technical devices for their 
own gain nor for teaching; while one suggested that some teachers cannot even “type a simple 
document” (FGDS3 — Semi-urban 3). 



 

 428 

Table 4 reflects participants’ responses illustrating Theme 2. 

Table 4: Participants’ Responses Illustrating Theme 2 

Number Sub-theme Data Source Response 
2.1 Teachers’ preparation for 

the use of technology 
during training period 

Discussion 
(rural) 

“I did classes at varsity and we used to submit 
many assignments online.” 

Discussion 
(urban) 

“Unfortunately, on my side … I did not receive any 
training.” 

2.2 Coping with no prior 
training 

Discussion 
(semi-rural) 

“… many teachers don’t have laptops; you are only 
told of training in the morning and you may not 
have your laptop on you. Only the facilitators have 
the technology … they give us manual.” 

2.3 Digital experience Discussion 
(semi-urban) 

“People are not able to submit something because 
they don’t have access to a laptop. It’s very difficult 
to print because there is only one computer at the 
office.” 

Theme 3: Virtual Teaching 
Virtual Teaching during Lockdown 

According to most participants, no virtual teaching took place during the lockdown. Although prior to 
this period, few were using WhatsApp to communicate with learners’ parents (especially those from 
private schools), they and those who tried the app for the first time were all unsuccessful in respect of 
online teaching. The reasons included very few learners participating, lack of parents’ interest, lack of 
money for data and smart phones, lack of network coverage, and because most parents were 
uneducated. Only two participants from private schools in the urban area indicated that they had 
used Zoom, Google Meet and Google Classroom to teach. 

Technical Support During Lockdown 

Almost none of the participants received technical support during the lockdown, except for one. In 
that particular case, the principal was experienced and was on all the school’s WhatsApp groups. 

Table 5 illustrates examples of participants’ responses to Theme 3. 

Table 5: Participants’ Responses Illustrating Theme 3 

Number Sub-theme Data Source Response 
3.1 Virtual teaching during 

lockdown 
Discussion 
(semi-rural) 

“In my own school, nothing has been happening – it 
is the old way of teaching and learning.” 

3.2 Technical support during 
lockdown 

Discussion 
(urban) 

“We need ICT support because I am the only one 
with ICT knowledge and it becomes a burden to 
assist everyone, including learners.” 

Theme 4: Teachers’ Willingness to Use Technical Devices 
During the focus-group discussions, all the participants from the three geographical areas indicated 
their willingness to use technical devices, and in the survey the majority of the 131 respondents (n = 
127, 96.95%)  also answered in the affirmative. The various reasons they cited for this can be summed 
up as ‘the value the devices bring to teaching and learning’. They approved of the non-interruption of 



 

 429 

classes and felt that teachers cannot afford to be left behind in the 21st century, despite the difficulties 
it presents to them. Two participants indicated that there was not much resistance from teachers 
regarding the use of technical devices but cited “overcrowded classes and lack of resources” (FGDR1), 
as well as “teachers’ older age” (FGDR3) as reasons why the minority (n = 4, 3.05%) might be 
unwilling to embrace technology. 

Areas in which Teachers Need Assistance 

Participants indicated they would need support in the following areas: how to use a computer; 
technology to improve pedagogical skills in different subjects; available technologies/apps for 
teaching; being able to conduct online tests for leaners; collaboration; and platforms where they would 
be able to do online teaching with learners having access to internet. Other areas of desired support 
included how to conduct research, since not all information in technology may be relevant; reading 
online books, and online security. 

Advice to Stakeholders by Participants 

Advice to Teachers 

Some participants recommend that teachers embrace technology and familiarise themselves so as not 
to become frustrated. Technology use has great value and it is relevant to the learners. Nonetheless, 
school management also needs to support teachers because management sometimes does not budget 
for technology. 

Advice to Teacher Training Institutions 

A participant captured this recommendation well in the following comment: “Embed technologies 
into the training on the subjects, teachers will be teaching at schools” (FGDR1). 

Advice to the Government 

Teachers need support from government to enable them to familiarise themselves with technical 
devices, especially in view of the requirements of the Fourth Industrial Revolution (4IR). The 
government should furthermore pair with institutions by offering yearly programmes to train newly 
appointed teachers in technology use. They should also provide training to those who have been in 
service for a longer time and do not know how to use computer technology, to make sure everyone is 
on par. 

Regarding connectivity, the government should enter into an agreement with providers (for instance, 
Mobile Telephone Network [MTN]) to make sure schools are connected to the internet, because data is 
expensive. The department should also consider having a zero-rated website. 

Schools need infrastructure, especially during a crisis like the current COVID-19 pandemic, and 
therefore also adequate security to protect technical devices, because they are often stolen. 

 

 

 

 



 

 430 

Table 6 reflects examples of participants’ responses to Theme 6. 

Table 6: Participants’ Responses Illustrating Theme 6 

Number Sub-theme Data Source Response 
6.1 Teachers Discussion 

(urban) 
“It is advisable teachers attend courses.” 

6.2 Teacher training 
institutions 

Discussion 
(rural) 

“… teachers need subject-specific technology training.” 

6.3 Government Discussion 
(semi-urban) 

“Government should provide us with devices like in the 
private schools … find sponsors to donate laptops and 
tablet for learners.” 

Discussion 
According to Van Dijk (2013), the roots of motivational access are mostly mental and psychological in 
nature — rather than social or cultural. In our study, all the participants indicated their interest in 
using technical devices for teaching. This is despite the diverse challenges faced, especially by those 
from rural and semi-urban areas. Their eagerness and motivation could be related to the practical 
value and benefits of computer usage and internet access as identified by the participants. 
Nonetheless, there appeared to be some pockets of resistance among teachers, as indicated by the 
participants who are described as “have nots” and “want nots” by Van Dijk (2013, 35). Motivation 
underlies a person’s behaviour and there is empirical evidence that this is linked to performance (Lai, 
2011). Our findings have shown that the reasons for non-motivation of teachers are not 
insurmountable; seemingly, teachers can be motivated to use technical devices, provided that the right 
conditions are created. Studies such as the one done by Van Dijk (2013) show that there is sparse 
research on people’s motivation to have access to technology. 

Our study confirms other research findings, namely, that lack of access or limited access to physical 
and material resources is a huge challenge to the use of technical devices by teachers (Tusiime et al., 
2019). Apart from a small number of participants from private schools, most participants in our study 
indicated that their schools lack the necessary technical devices and associated technical support. Our 
findings are in consonance with those of Soomro et al. (2020), who found in a recent study that public 
institutions often have poorer physical access to ICT devices and services, and that schools that are 
behind are slower to adopt digital technologies for teaching and learning. Access to computers and 
the internet is important, because those without access not only lag behind but are also in danger of 
being excluded, which is considered the “legitimate final effect of unequal access” (Van Dijk, 2013, 46). 

Our study also found that most of the participants use their personal laptops and smartphones for 
teaching. Although this lack of physical access is related to “a distribution of resources” as indicated 
by Van Dijk (2005, 2013, 38), our findings are not connected to ‘income inequalities’. Rather, the lack 
has more to do with non-provision by the government and other stakeholders. Casado-Muñoz et al. 
(2015) posit that the inaccessibility of ICTs has resulted in significant inequities in respect of who can 
access, use and benefit from them. 

 



 

 431 

Although research shows that educational background and age are the most significant factors that 
indicate technological skills, our findings are more consistent with those of Tusiime et al. (2019), 
which show a mismatch between formal education and digital skills access — in stark dissonance with 
Van Dijk’s assertion. Due to other prevalent factors as discussed earlier, the level of education of the 
teachers in our study could not necessarily be equated to the required experience in using technical 
devices. Participants in our study were ‘hungry’ for training, confirming similar studies from our 
context (Ogegbo & Aina, 2020; Torres & Giddie, 2020). Although an average number of participants in 
our study had received training in ICT during their study years, such training was very formal and 
did not prepare them for using technology to develop their pedagogical skills. This corresponds with 
what Tusiime et al. (2019) found, namely that teachers’ ICT training gained through formal 
approaches is generally broad and not specific to the teaching areas of teachers. Teachers, therefore, 
need adequate training on the effective integration of technology into their classroom teaching — two 
major areas that still need further research (Becking & Grady, 2019). Although, as found in our study, 
teachers could learn through self-teaching and from peers, Van Dijk (2005,) stresses the need to find a 
balance between these approaches. 

Scholars such as Tusiime et al. (2019) argue that the best way to develop teachers’ digital competence 
is by assisting them to understand the relationships between technology, pedagogy and content, and 
to apply such knowledge in a productive way. Based on our findings, we concur and emphasise that 
training is needed in subject-specific areas. Our findings also highlight the need for collaboration 
among teachers in areas where technical devices are sparse (Andema et al., 2013). Participants in our 
study, especially from semi-urban and rural areas, cited clusters being formed by teachers to boost the 
use of technical devices for teaching and learning. 

Usage is the by-product of the whole process of appropriation (Van Dijk, 2013) because “effective and 
satisfactory use of digital media cannot occur without sufficient motivation, access and skills” (Van 
Dijk & Van Deursen, 2014, 44). All the participants in our study were interested in using technical 
devices but the truth is that teachers cannot develop the necessary skills if they do not regularly use 
them (Benali et al., 2018). If teachers are well motivated to use technical devices, and if they have both 
physical and material access that could aid the development of their digital skills, then usage will 
follow naturally (Ooko, 2016; Van Dijk & Van Deursen, 2014; Valtonen et al., 2017). 

Conclusions 
Our subjective interpretation of the collected data — as the researchers involved — could be regarded 
as a limitation to the study. Another limitation was the missed voices of other stakeholders (such as 
ICT firms or providers and policy makers). This study was conducted in the middle of pandemic 
lockdowns, which made us focus more on teachers that we could immediately sample. As part of its 
ongoing research plans, the unit of study is busy with research involving other stakeholders on the 
same phenomenon.   

Recommendations include the following: 

• Policy makers should develop a set of standards for teacher educators’ competencies that can 
be aspired to, if not already in place. This is because our findings buttress the fact that 
struggling trainers cannot adequately assist trainees. 



 

 432 

• There is the need for government to re-visit the quality of the training they provide to teachers 
in order to make them more relevant. 

• The government and teacher training institutions need to close the gap between curriculum 
and societal needs, especially in relation to embedding technology in subject-specific areas. 

• Tertiary institutions should provide in-service training for teacher educators and they need to 
strike a balance between their three core services: teaching, research and community service. 

• Teachers need to develop their own 21st-century skills before they can prepare their learners. 
• Teachers need to know not only the theory about pedagogical skills and tools that are 

available; they also need the technical expertise, especially in their subject-specific areas. 
• Tertiary institutions, in collaboration with government, should provide more in-service 

training opportunities, and such training should be more effective. 
• Teachers and learners not only need more technical devices; they also need on-the-ground 

technical support at schools. 
• Policy support programmes should be implemented to assist government in fulfilling its 

promises. 

In conclusion, our research supports Van Dijk’s theory that studies on the digital divide need to move 
beyond the individualistic, descriptive level to an interpersonal notion of inequality that pays 
attention to the positions of individuals in society and the relationships that exist between them. This 
is because our findings helped us to juxtapose the challenges involving teachers’ physical access to the 
technical devices needed for teaching with the reasons behind these challenges. Therefore, much 
research is needed on the relational notion of inequality. In addition, studies with larger sample sizes 
across different institutions could make findings more generalisable. In addition, because Van Dijk’s 
theory (that was adopted for this study) is an emerging one, a larger number of in-depth studies into 
each of his four forms of access will be needed, especially in developing contexts.  

Our data collection process (especially the discussions) was a highly emotional process for us, and it is 
well summarised in this response from one of the participants: 

The government is talking about the 4IR but teachers need workshops about how to teach 
different subjects using different technologies. We are still in the traditional way of writing on the 
board and submitting; students go to Varsity and they need to submit assignments online. I 
suffered the same fate and I paid dearly for it. 

Disclosure Statement: No potential conflict of interest was reported by the authors. 

References 
Aluko, F. R. (2019). Multilingualism as a resource for teaching and learning: Maximizing prevalent affordances 

to overcome persistent challenges. In F. M. Omidire (Ed.), Multilingualism in challenging education settings: 
Supporting learning and development (pp. 36-47). Cengage.  

Amhag, L., Hellström, L., & Stigmar, M. (2019). Teacher educators’ use of digital tools and needs for digital 
competence in higher education. Journal of Digital Learning in Teacher Education, 35(4), 203-220. 
https://doi.org./10.1080/21532974.2019.1646169 



 

 433 

Andema, S., Kendrick, M., & Norton, B. (2013). Digital literacy in Ugandan teacher education: Insights from a 
case study. Reading & Writing, 4(1), Article 27. https://doi.org/10.4102/rw.v4i1.27 

Atkinson, D., 2014. Rural-urban linkages: South Africa case study. Working Paper Series No. 125. Working Group: 
Development with Territorial Cohesion. Territorial Cohesion for Development Program. Rimisp, Santiago, 
Chile. https://www.rimisp.org/wp-
content/files_mf/1422297966R_ULinkages_SouthAfrica_countrycasestudy_Final_edited.pdf 

Becking, S. K., & Grady, M. (2019). Implications of the Digital Divide for technology integration in schools: A 
white paper. Contemporary Issues in Educational Leadership, 1, Article 5. 
https://doi.org/10.32873/unl.dc.ciel.1011 

Benali, M., Kaddouri, M., & Azzimani, T. (2018). Digital competence of Moroccan teachers of English. 
International Journal of Education and Development using Information and Communication Technology, 14(2), 99-
120. https://www.learntechlib.org/p/184691/ 

Borthwick, A. C., & Hansen, R. (2017). Digital literacy in teacher education: Are teacher educators competent? 
Journal of Digital Learning in Teacher Education, 33(2), 46-48. https://doi.org/10.1080/21532974.2017.1291249 

Casado-Muñoz, R., Lezcano, F., & Rodríguez-Conde, M.-J. (2015). Envejecimiento activo y acceso a las 
tecnologías: Un studio empírico evolutivo [Active ageing and access to technology: An evolving empirical 
study]. Comunicar, 23(45), 37-46. https://doi.org./10.3916/C45-2015-04 

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage. 
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. 

American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11 
Krönke, M., & Olan’g, L. (2020). Democratic dividend: The road to quality education in Africa. Afrobarometer, 

Policy Paper No. 63. https://policycommons.net/artifacts/1450624/democratic-dividend/2082423/ 
Krumsvik, R. J. (2014). Teacher educators’ digital competence. Scandinavian Journal of Educational Research, 58(3), 

269-280. https://doi.org/10.1080/00313831.2012.726273 
Lai, E. R. (2011). Motivation: A literature review research report. http://www.pearsonassessments.com/research 
List, A. (2019). Defining digital literacy development: An examination of preservice teachers’ beliefs. Computers 

& Education, 138, 146-158 https://doi.org/10.1016/j.compedu.2019.03.009 
Madden, P. & Kanos, D. (2020). Figures of the week: Digital skills and the future of work in Africa. Brookings, 

Wednesday, July 22, 2020. https://www.brookings.edu/blog/africa-in-focus/2020/07/22/figures-of-the-week-
digital-skills-and-the-future-of-work-in-africa/ 

Marci-Boehncke, G., & Vogel, T. (2018). Digital literacy and inclusion: The impact of theory and practice in 
teachers’ education. In L. Gómez Chova, A. López Martínez, & I. Candel Torres (Eds.), INTED 2018 
Conference Proceedings (pp. 6872-6879). IATED Academy. https://doi.org/10.21125/inted.2018.1618 

McDonald, Z. (2020, May 21). COVID-19 exposes the underbelly of South Africa’s education system. The 
Conversation. https://theconversation.com 

Mustapha, A., Mohammed, A., Egigogo, A. R., Kutiriko, A. A. , & Dokoro, A. H. (2020). Factors affecting the 
utilization and adoption of technology in education. In (Ed.), The role of technology in education. IntechOpen. 
https://doi.org/10.5772/intechopen.85712   

Ogegbo, A.A., & Aina, A. (2020). Early childhood development teachers’ perceptions on the use of technology in 
teaching young children. South African Journal of Childhood Education, 10(1), a880. 
https://doi.org/10.4102/sajce.v10i1.880 

Pick, J., & Sarkar, A. (2016). Theories of the digital divide: Critical comparison. In T. X. Bui & R. H. Sprague, Jr. 
Proceedings of the 49th Annual Hawaii International Conference on System Sciences (HICSS) (pp. 3888-3897). 
https://doi.org/10.1109/HICSS.2016.484 



 

 434 

Skaletsky, M, Pick, J. B., Sarkar, A., & Yates, D. J. (2017). Digital divides: Past, present, and future. In R. D. 
Galliers & M. K. Stein (Eds.), The Routledge companion to management information systems (pp. 416-443). 
Routledge. https://doi.org/10.4324/9781315619361-31 

Soomro, K. A., Kale, U., Curtis, R., Akcaoglu, M., & Bernstein, M. (2020). Digital divide among higher education 
faculty. International Journal of Educational Technology in Higher Education, 17, Article 21. 
https://doi.org/10.1186/s41239-020-0019 

Tican, C., & Deniz, S. (2018). Pre-service teachers’ opinions about the use of 21st century learner and 21st century 
teacher skills. European Journal of Educational Research, 8(1), 181-197. https://doi.org/10.12973/eu-jer.8.1.181 

Torres, K. M., & Giddie, L. (2020) Educator perceptions and use of technology in South African schools. Peabody 
Journal of Education, 95(2), 117-126. https://doi.org/10.1080/0161956X.2020.1745611.  

Tusiime, W. E., Johannesen, M., & Gudmundsdottir, G. (2019). Developing teachers’ digital competence: 
Approaches for art and design teacher educators in Uganda. International Journal of Education and 
Development using Information and Communication Technology, 15(1), 133-149. 
https://www.learntechlib.org/p/209738/ 

Umugiraneza, O., Bansilal, S., & North, D. (2018). Exploring teachers’ use of technology in teaching and learning 
mathematics in KwaZulu-Natal schools. Pythagoras, 39(1), Article 342. 
https://doi.org/10.4102/pythagoras.v39i1.342 

UNICEF. (2021). Learners in South Africa up to one school year behind where they should be. 
https://www.unicef.org/press-releases/learners-south-africa-one-school-year-behind-where-they-should-
be#:~:text=Rotational%20attendance%2C%20sporadic%20school%20closures,over%20the%20past%2016%2D
months.  

United Nations Educational, Scientific and Cultural Organization. (2020). Education: From school closure to 
recovery. https://en.unesco.org/covid19/educationresponse 

Valtonen, T., Sointu, E. T., Kukkonen, J., Häkkinen, P., Järvelä, S., Ahonen, A., Näykki, P., Pöysä-Tarhonen, J., & 
Mäkitalo-Siegl, K. (2017). Insights into Finnish first-year pre-service teachers’ perceptions of their 21st 
century skills. Education and Information Technologies, 22(5), 2055-2069. https://doi.org/10.1007/s10639-016-
9529-2 

Van Dijk, J. A. G. M. (2005). The deepening divide: Inequality in the information society. Sage. 
Van Dijk, J. A. G. M. (2013). A theory of the digital divide. In M. Ragnedda & G. W. Muschert (Eds.), The digital 

divide: The internet and social inequality in international perspective (pp. 29-51). Routledge. 
Van Dijk, J. A. G. M. (2017). Digital divide: Impact of access. In P. Rössler, C. A. Hoffner, & L. Zoonen (Eds.), The 

international encyclopaedia of media effects (pp. 1–11). https://doi.org/10.1002/9781118783764.wbieme0043 
Van Dijk, J. A. G. M., & Van Deursen, A. J. A. M. (2014). Digital skills: Unlocking the information society. Palgrave 

Macmillan. https://doi.org/10.1057/9781137437037_3 
Wellman, B., & Berkowitz, S. D. (Eds.). (1988). Social structures: A network approach. Cambridge University Press. 
Zeichner, K. (2014). The struggle for the soul of teaching and teacher education in the USA. Journal of Education 

for Teaching, 40(5), 551-568. https://doi.org/10.1080/02607476.2014.956544 

Authors: 

Dr F. R. Aluko is the researcher within the Unit for Distance Education at the University of Pretoria. She 
manages the quality of the institution’s Open Distance Learning programs. Ruth facilitates training and 
workshops, and is involved in the evaluation of ODL programs. Ruth is a co-editor of the books Assuring 
institutional quality in Open Distance Learning (ODL) in the developing contexts and Exploring dual and mixed 
mode provision of distance education. She currently serves on the Editorial Board of Africa Education Review, 



 

 435 

and she is the second-term President of the National Association of Distance Education in Southern Africa 
(NADEOSA). Her research focus areas include quality management of ODL programmes, mobile learning, 
access, social justice, program evaluation, student support, and teacher professional development. Ruth is a 
National Research Foundation (NRF) rated researcher, a peer review system that assesses the standing of South 
African researchers. Email: ruth.aluko@up.ac.za  

Dr M. Ooko holds a Doctoral Degree in Didactics of e Learning and Distance Education from the University of 
South Africa, and a Master of Science in Educational Leadership and Administration, from the University of 
Nicosia, Cyprus.  She holds a Bachelor of Arts Degree in Speech and Hearing Education from the State 
University of New York and has experience spanning thirty years in the teaching/teacher training field, and e-
learning implementation. Dr. Ooko was the founding Chair of the Education Department and the founding 
Director of the Institute of Open and Distance Learning at Africa Nazarene University. She was the Director of 
Kabarak University Online and served at the United States International University as the Director of USIU 
Africa Online. Dr. Ooko is the Manager of the Unit for Distance Education at the Faculty of Education, 
University of Pretoria. Email: mary.ooko@up.ac.za 

Cite this paper as: Aluko, F. R., & Ooko, M. (2022). Enhancing the digital literacy experience of teachers to 
bolster learning in the 21st century. Journal of Learning for Development, 9(3), 420-435.