Original Article
Bridging the Digital Divide in Curriculum Delivery: Assessment of the Impact of Technology Availability and Accessibility on Teaching and Learning
INTRODUCTION
Background to the study
Education is
universally recognized as a cornerstone of human capital development and
national advancement Obizue
and Enomah (2025). In the digital age, the integration of
Information and Communication Technology (ICT) into education is critical for
transforming teaching and learning Grabe
and Grabe (2007). ICT integration enhances learning
experiences, fosters student engagement, and broadens access to educational
resources Ahmad et
al. (2023). It involves the implementation of
infrastructure, digital tools, innovative pedagogy, assessment systems,
research, administration, professional development, student support services,
collaboration, and accessibility measures.
Globally,
educational technology has been linked to improved student engagement, enhanced
knowledge retention, the development of 21st-century skills, and the creation
of interactive learning environments Smaldino
et al. (2005), Bitter
and Pierson (2005), Bransford
et al. (2006), Wiske et
al. (2005). ICT has transformed teaching and learning
by promoting interactive and collaborative educational settings Saravanakumar (2018), Shoraevna
et al. (2021). However, despite its recognized benefits,
ICT integration often encounters barriers, especially in resource-constrained
environments, such as inadequate infrastructure, limited digital skills, and
pedagogical challenges.
In 2019, Ghana
introduced the Standards-Based Curriculum (SBC), marking a significant shift
towards student-centered, technology-enhanced pedagogy at the basic education
level Ministry
of Education (2019). The SBC emphasizes Mathematics, English
Language, Science, Creative Arts, and Computer Literacy Danquah
and Poku (2024). Furthermore, the curriculum mandates the
integration of ICT across all subjects to prepare students for participation in
a globalized world and the future job market. It also promotes group work,
lifelong learning, inclusive education, gender equality, and the preservation
of Ghanaian cultural values Asante et al. (2024).
Despite these
reforms, practical implementation remains a challenge. Many institutions,
particularly in rural areas, struggle to meet ICT integration goals due to
infrastructural deficits, insufficient teacher training, and systemic issues
like inconsistent electricity supply Bice (2021), Asare et
al. (2023), Enrique
(2018), Singhavi
and Basargekar (2019), Tondeur
et al. (2018). Studies reveal a lack of comprehensive
understanding of these challenges across different educational levels and
regions Hennessy
et al. (2010).
In Ghana’s Oti
Region, schools in rural districts face persistent obstacles, including limited
access to digital resources, low teacher competencies in ICT, and ICT
infrastructural weaknesses, often compounded by frequent power outages Bolaji and Adoye (2012), Ghana Statistical
Service, 2021, Asabere
and Enguah (2023). The COVID-19 pandemic further exposed these
gaps in digital readiness, highlighting the disparities in access and
preparedness across the educational sector UNESCO
(2023).
The integration of
ICT in education in rural Ghana is severely constrained by the high cost of
technology and persistent economic disparities, despite government initiatives
to promote inclusive access Ghana
Education Service (2022b), Cruz (2022),
McCarty
(2024). Broader African challenges such as
geographical inequalities, weak infrastructure, and limited cultural adaptation
further exacerbate the situation World
Bank (2023), Ezumah
(2020), Bekele
et al. (2023). In rural Ghana, only 35% of schools have
functional computers and fewer than 25% of teachers are ICT literate, resulting
in lower instructional quality and contributing to rural students consistently
scoring 20% lower than urban peers in core subjects Ghana
Education Service (2022b), Adarkwah
(2021), UNICEF
(2020), Banini
(2019). Infrastructure failures, particularly
unstable electricity and internet access, undermine digital initiatives that
lack backup or offline solutions Mukari
(2019), Ezumah
(2020), Martens
et al. (2020). Socioeconomic barriers, including household
poverty and non-functional ICT labs, further restrict access Economic
Research Service (2024), Ghana
Statistical Service (2021), M. Kombat, personal communication, March
2025). Meanwhile, policy implementation suffers from urban-centric investments
and fragmented NGO efforts that fail to yield sustainable outcomes Martens
et al. (2020), Mukuni
(2019). Ultimately, rural students are
disadvantaged not by their potential but by structural inequalities in resource
allocation, infrastructure, and policy execution, raising critical concerns of
social justice Darling-Hammond
(1998), Banini
(2019).
This is echoed by
comparative experiences in countries like Indonesia and Kenya, where
infrastructural deficits and low investment hinder meaningful ICT adoption Almanthari
et al. (2020), Rahiem
(2020b), Rodríguez-Abitia
et al. (2020), Soomro
(2015), Suárez-Rodríguez
et al. (2018), Van et al. (2020), Bariu
(2020), Graham
(2020).
Although
educational technology is widely recognized for its potential to increase
student engagement, improve learning outcomes, and foster dynamic classroom
interaction Smaldino
et al. (2005), Bitter
and Pierson (2005), Bransford
et al. (2006), Wiske et
al. (2005), its implementation in Ghana is hindered by
persistent infrastructural limitations, insufficient teacher training in
digital pedagogy Asabere
and Enguah (2012), and stark urban-rural resource disparities Buabeng-Andoh (2022). Moreover, the gap between
national ICT policy aspirations and their practical application at the school
level remains a critical concern Agyei
and Voogt (2012).
Given these
persistent challenges, a comprehensive assessment of ICT readiness at the basic
school level in the region is timely and necessary. This study, therefore,
focuses on three critical dimensions: (1) the availability and accessibility of
ICT resources, (2) the impact of technology use on teaching and learning, and
(3) the barriers to effective ICT implementation in basic education.
By focusing on
this under-researched area, the study contributes to the broader conversation
on technology integration in low-resource settings Baldezamo
et al. (2024). It also offers evidence-based
recommendations to inform policy reforms and practical strategies aimed at
bridging the digital divide and improving educational outcomes in the Ghanaian
basic education sector.
Statement of the problem
The teaching
profession in Ghana is navigating significant challenges amid a rapidly
evolving educational landscape. In 2019, the Ghana Education Service (GES), in
collaboration with the National Council for Curriculum and Assessment (NaCCA)
and the Ministry of Education (MoE), introduced the Standards-Based Curriculum
(SBC) for basic schools spanning from kindergarten to primary six Ghana
Education Service (2019). This curriculum marked a significant policy
shift, requiring a transition from traditional teacher-centred approaches to
student-centred and technology-enhanced learning. The aim was to promote active
learner participation, critical thinking, and the integration of digital tools
in teaching and learning processes. Although aligned with global best practices
for digital-age education UNESCO
(2022), a substantial gap persists between policy
intentions and actual classroom practices, particularly in rural areas in
Ghana.
Recent studies
highlight critical barriers to effective technology integration in Ghana’s
basic schools. Infrastructure remains a major constraint, with 85% of schools
lacking functional computer laboratories and only 23% having reliable internet
access Ghana
Education Service (GES) (2022). A report by Africa Education Watch further
reveals severe ICT deficits, especially in deprived areas. Of 1,033
marginalized schools assessed, only 2% have functional ICT labs, despite
Computing being part of the national curriculum. Yet, 49% still attempt to
teach Computing without proper tools. In endowed schools, just 8% have ICT
labs, though 52% teach Computing. The report also highlights a critical
electricity gap where only 37% of deprived schools have power, compared to 77%
in better-off areas hindering ICT use and undermining digital skills and STEM
education nationwide Africa
Education Watch (2024). The architecture design of Basic school
classroom in Ghana does not have space for computer laboratory.
In this digital era, ICT use in the classroom
is important for giving both students and teachers opportunities to learn and
apply the required 21st century skills Asabere
and Enguah (2012). Pedagogical limitations impede progress in
teaching where some teachers still relying on chalk-and-talk methods due to
insufficient training on the use digital tools for instruction in Ghana.
Systemic issues such as frequent power outages affecting schools in the region
compound Africa
Education Watch (2024).
The consequences
of no technology in the classroom are measurable, because research indicate
that student performance in STEM subjects lags 22% behind national targets in
technology-deprived schools West African Examinations Council (2022). Only 31% of teachers demonstrate
proficiency in integrating ICT into their teaching (NTCE) (2023), and student engagement in learning is lower
in classrooms without technology support Buabeng-Andoh
(2015).
In this context,
it is critical to examine the disconnection between Ghana’s technology
integration policies and their implementation at the basic school level. This
study focuses on exploring three dimensions: the availability of ICT resources,
their accessibility to teachers and students, and the challenges impeding
effective use. This investigation addresses gaps highlighted in recent
literature, including last-mile implementation issues Agyei
and Voogt (2011), urban-rural digital divides World
Bank (2023), and teacher preparedness for 21st-century
pedagogy OECD (2022).
By focusing on
these areas through the lens of the Standards-Based Curriculum, the study seeks
to generate evidence-based insights to inform educational technology strategies
in Ghanaian basic schools. The study is aimed to contribute to the global conversation
on promoting equitable digital learning opportunities in low-resource learning
environments. The study’s research questions align directly with its purpose by
examining the availability and accessibility of ICT resources, as well as the
challenges affecting their use. Together, they provide a structured framework
for assessing ICT readiness and identifying strategies to bridge the digital
divide in basic education in the region.
Purpose of the research
The purpose of the
research is to assess the ICT readiness of basic schools in Oti Region by
examining the availability and accessibility of educational technology
resources, and the challenges affecting their implementation in teaching and
learning.
Research questions
This research is
guided by the following questions:
1)
What is
the impact of the availability of educational technology resources on
administration, teaching and learning in basic schools?
2)
What is
the effect of the accessibility of educational technology resources on
administration, teaching and learning in basic schools?
3)
What are
the challenges in the implementation of educational technology in teaching and
learning in basic schools?
Significance of the study
The research
provides policymakers and education stakeholders with empirical data on the
status of ICT readiness in rural basic schools, aiding in the formulation of
targeted interventions to bridge digital divide in Ghana especially in Oti
Region. It assists school administrators and teachers in identifying practical
strategies to improve ICT integration, thereby enhancing student engagement and
academic performance. Additionally, the research contributes to the global
discourse on equitable digital learning, offering insights relevant for
low-resource and rural education contexts. Finally, future researchers can
build upon the findings to explore broader aspects of technology integration in
basic education in Ghana.
Scope of the study
The study is
geographically limited to basic schools in Oti Region of Ghana. Thematically,
the research focuses on three main areas: availability, accessibility, and
challenges in the implementation of educational technology in teaching and
learning. The study population includes headteachers and classroom teachers of
public and private basic schools in the municipality. The seasonal scope covers
the 2024 – 2025 academic year.
SELECTED REVIEW OF LITERATURE
Theoretical framework
Theoretical
frameworks provide the foundation for understanding and interpreting research
findings. For this study, two key theories guide the investigation into ICT
readiness in basic schools: the Technology Acceptance Model (TAM) and the
Digital Divide Theory. These theories help explain the patterns of technology
adoption and access disparities in educational contexts, particularly within
low-resource settings like Oti region.
Technology Acceptance Model (TAM)
The Technology
Acceptance Model (TAM), developed by Davis
(1989), offers a foundational perspective on how
individuals come to accept and use new technologies. According to TAM, two
primary factors determine technology adoption: perceived usefulness (PU) and
perceived ease of use (PEOU) Chuttur
(2009), Erebakyere
and Agyei (2022), Granic
and Marangunic (2019), King and He (2006), Lee et al. (2003), Legris
et al. (2003), Marangunic
and Granic (2015). Perceived usefulness refers to the extent
to which a person believes that using a particular system will enhance their
performance, while perceived ease of use is the degree to which one believes
that using the system will be free from effort Granic
and Marangunic (2019), Marangunic
and Granic (2015).
In the context of
education, TAM suggests that teachers and students are more likely to integrate
ICT tools into teaching and learning when they perceive these tools as
beneficial and user-friendly Erebakyere
and Agyei (2022), Granic
and Marangunic (2019), Marangunic
and Granic (2015). However, in environments with limited
technological infrastructure, lack of training, and systemic constraints as
seen in many basic schools in Ghana both perceived usefulness and ease of use
may be adversely affected, thus impeding technology integration Asabere
and Enguah (2012), Erebakyere
and Agyei (2022).
Applying TAM to
this study provides a lens through which the relationship between availability,
accessibility, and the actual utilization of ICT resources in Oti region basic
schools can be critically examined.
Digital Divide Theory
The Digital Divide
Theory (DDT) addresses the inequalities in access to and use of information and
communication technologies among different populations Norris
(2001). It recognizes that factors such as
geographic location, income, education level, and infrastructural development
significantly influence digital inclusion Akca et al. (2007), Van and Van (2017), Hadjar
(2025), Rizza
(2024).
In educational
contexts, the digital divide manifests in disparities between urban and rural
schools, public and private institutions, and among students of varying
socio-economic backgrounds Constancio
(2025), Ragnedda
and Muschert (2013), Olson et al. (2025), World
Bank (2023). Rural schools, such as those in Oti region,
often suffer from limited ICT infrastructure, inadequate internet connectivity,
and fewer opportunities for teacher training compared to their urban
counterparts Ghana
Statistical Service. (2023).
By utilising the
Digital Divide Theory, this paper explores how structural inequalities impact
ICT readiness and highlights the specific barriers rural schools face in
implementing technology-driven teaching and learning. It also frames the
investigation into how policy interventions can bridge these gaps to promote
equitable digital learning opportunities for all students.
In combination,
the Technology Acceptance Model and Digital Divide Theory provide a robust
theoretical foundation for analysing the availability, accessibility, and
utilisation of ICT resources in Oti region basic schools.
Conceptual framework
The conceptual
framework for this study outlines the key constructs and their
interrelationships in assessing ICT readiness within basic schools in Oti
Region. It provides a visual and explanatory guide to understanding how
availability, accessibility, and challenges in ICT implementation influence the
teaching and learning processes.
The framework
posits that the availability of
ICT resources is a necessary but insufficient condition for technology-driven
learning improvement Manu et al. (2024), Nguon and Ali (2025). Accessibility
mediates the relationship between availability and educational outcomes, even
where resources exist, barriers such as skill gaps, cost, and infrastructure
quality can limit their effective use Nguon and Ali (2025), Sarpong
et al. (2023), Soma et al. (2021). Furthermore, challenges in ICT implementation serve as critical moderators that
either facilitate or impede the realisation of technology’s potential impact on
teaching and learning Soma et al. (2021).
Thus, improving
ICT readiness requires a holistic approach that not only ensures resource
availability but also enhances accessibility while systematically addressing
the contextual challenges that basic schools face, especially in rural settings
like Krachi-East.
|
Figure 1 |
|
|
|
Figure 1 Conceptual
Framework - Authors’ Construct |
Empirical review
ICT
Readiness in Basic Education
ICT readiness in
education refers to the preparedness of schools to effectively integrate
digital technologies into teaching, learning, and administrative functions UNESCO
(2015). Empirical research across global, African,
and Ghanaian contexts reveals critical insights into how ICT readiness is
influenced by infrastructure, teacher capacity, accessibility, and systemic
support.
Globally, the
transformative impact of ICT integration has been well documented. Kozma
(2005), in a comparative analysis across 28
countries, demonstrated that technology integration significantly enhances
student achievement when pedagogically aligned. Countries such as Finland and
South Korea have embedded national ICT strategies involving infrastructure
investment, teacher professional development, and curriculum reforms, resulting
in improved educational outcomes OECD (2022). However, digital inequalities persist. Warschauer
(2004) noted that even in well-resourced
environments, students from disadvantaged backgrounds face limited access to
quality digital learning, pointing to the need for equitable ICT access that
goes beyond mere availability.
Within Africa, ICT
adoption has accelerated, but infrastructural and human capacity limitations
remain pressing. Hennessy
et al. (2010), in Kenya, found that computer distribution
was often underutilised due to lack of electricity, maintenance, and teacher
ICT training. Similarly, Tiba and Condy (2016) highlighted that while urban South African
schools are increasingly adopting e-learning, rural schools still struggle with
poor internet and electricity supply. This aligns with Boateng
et al. (2020), who warned that ICT efforts in Ghana and
Nigeria could inadvertently widen educational disparities if systemic readiness
is ignored. The African context calls for interventions that consider
socio-economic realities and teacher professional capacity-building.
In Ghana, the
Standards-Based Curriculum explicitly promotes ICT use to enhance creativity,
collaboration, and critical thinking Ministry
of Education (2019). Yet, studies show a significant gap between
policy and practice. Asabere
and Enguah (2012) revealed that 72% of rural basic schools
lack functional computer labs and only 23% have stable internet access.
Moreover, limited teacher digital literacy hampers ICT integration in lesson
delivery. Buabeng-Andoh (2022) also found
that urban schools demonstrate higher ICT readiness compared to rural
counterparts like those in Oti region, largely due to infrastructural and
resource disparities. Erebakyere
and Agyei (2022) and Nguon and Ali (2025) noted that bureaucratic delays and poor
policy monitoring hinder ICT implementation.
The COVID-19
pandemic further exposed these weaknesses. UNESCO
(2023) reported that less than 35% of Ghanaian
basic schools transitioned to online learning during closures, underscoring
digital unpreparedness. This experience emphasised the urgent need for robust
digital infrastructure, equitable resource distribution, and targeted teacher
professional development.
The foregoing empirical evidence shows that effective ICT
integration in education relies on contextual readiness, including
infrastructure, teacher skills, reliable power, and supportive policies. In
Ghana, rural areas in Oti region face persistent challenges in these areas.
While national and regional studies exist, there is limited research focusing
specifically on rural municipalities. This study addresses that gap by offering
a localised analysis of ICT availability, accessibility, and usage in Oti region
basic schools, providing contextual evidence for policy and practice. It
contributes to both national and global discussions on ICT in education,
particularly in low-resource settings, and emphasises the need for targeted
interventions to bridge the rural-urban digital divide.
METHODS
Research approach and design
The study adopted
a mixed-methods approach,
combining quantitative and qualitative methods.
The quantitative component involved the administration of structured
questionnaires to teachers, while the qualitative component consisted of
semi-structured interviews with headteachers and classroom observations. This
approach ensures a richer, more comprehensive understanding of ICT readiness by
capturing both statistical trends and in-depth insights Tashakkori
and Teddlie (2010).
The study employed
a descriptive survey design.
This design allowed for the collection of detailed, factual information from a
large population at a specific point in time Creswell
and Creswell (2018). A descriptive survey is particularly
appropriate for assessing the availability, accessibility, utilization, and
challenges of ICT in schools, as it provides a snapshot of current conditions
without manipulating any variables. The design enabled the researcher to
describe the phenomena as it exists naturally, which made it suitable for
investigating the existing gaps between policy intentions and actual ICT
practices in basic schools in Oti region.
Population, sample size and sampling techniques
This study focused
on key stakeholders in Basic Schools across Ghana's Oti region, with targeted
population of: 6,073 teachers, 750 head teachers, and 9 district education
officials. These groups were selected due to their critical roles in policy
implementation, school administration, and classroom instruction. To achieve a
representative yet manageable sample, the study engaged 231 participants from
25 Basic schools in the region: 50 teachers, 25 head teachers, 150 students,
and one official each from 5 districts and 1 regional education directorates.
The sample size
was determined using Krejcie and Morgan (1970) scientifically validated method, which
balances statistical reliability with practical data collection constraints.
This approach minimizes sampling bias while ensuring findings remain
generalizable to the broader population a particularly useful strategy for
large-scale educational research.
A mixed sampling
strategy was employed. For stratified
sampling, schools were categorized into developing
community and undeveloped community strata to account for disparities in ICT
infrastructure and access. This ensured proportional representation from both
settings. With the purposive
sampling, head teachers
and education officials were deliberately selected due to their administrative
expertise and direct knowledge of ICT integration in schools.
This dual approach
enhanced the study's validity by capturing diverse perspectives while
maintaining focus on key informants most relevant to the research objectives.
Instruments
Three instruments
were used for data collection. The questionnaire, administered to teachers,
gathered quantitative data on the availability and accessibility of educational
technology resources (Research Questions 1 and 2). The interview guide targeted
head teachers and district officials, eliciting in-depth responses on
challenges in implementing educational technology (Research Question 3). An
observation checklist was used to verify the actual presence and use of ICT
resources in schools (Research Questions 1 and 2). To ensure validity and
reliability, experts in educational technology and research methods reviewed
all instruments. A pilot study conducted in the Nkwanta South District yielded
a Cronbach’s Alpha of 0.83 for the questionnaire, indicating a high level of
internal consistency. Based on pilot feedback, questionnaire items were refined
for clarity. The interview guide’s validity was strengthened through expert
review for relevance and clarity, ensuring it captured key challenges. The
observation checklist’s validity was confirmed by aligning items with study
objectives, enhancing consistency in field data collection.
Data collection procedure
Questionnaires
were administered by the researcher and assistants provided to ensure clarity
to respondents. Face-to-face interviews were audio-recorded with consent.
Classroom observations occurred discreetly over two weeks. Ethical protocols,
including informed consent, anonymity, and voluntary participation, were
strictly observed throughout the data collection process.
Data analysis
Data analysis used
both quantitative and qualitative procedures. Descriptive and inferential
statistics procedures were used to analyse the questionnaire data. Interview
transcripts and observation notes were analysed to identify emerging patterns.
This mixed-methods approach strengthened the study’s credibility by providing
deeper insights and helping to interpret differences in ICT readiness between
schools in developing communities and those in underdeveloped communities.
Research objective one was answered with quantitative data using percentages,
correlation and regression analysis. For objective two, quantitative data was
used and also analysed using means and standard deviations, independent sample
t – test and one – way analysis of variances. Finally, research objective three
used quantitative data and results presented using means and standard
deviations.
Ethical considerations
The study upheld
ethical standards by securing approval from authorities, obtaining informed
consent, ensuring anonymity and confidentiality, using data solely for
research, and informing participants of their right to withdraw at any time
without consequence.
RESULTS AND DISCUSSIONS
Demographic characteristics of respondents and response rate
The demographics
of the participants considered years of teaching experience, and school
location (developing and undeveloped communities). Notably, 65% of teacher
respondents were from undeveloped community basic schools, while 35% taught in
developing community basic schools, aligning with the study's stratified
sampling plan.
A total of 100
questionnaires were distributed in the field, and all were successfully
retrieved. Among these, 50 were administered to teachers, all of which were
returned. Additionally, 25 head teachers received and completed the
questionnaires, with a 100% return rate with 80% of responses from public
schools and 20% from private schools. For the student category, 150 students
from 25 basic schools participated, with six students selected from each
school. Out of these, 25 questionnaires were successfully retrieved from the
students.
Research questions
What is the impact of the availability of
educational technology resources on administration, teaching and learning in
the Basic Schools?
Table 1 presents data on
the availability of ICT resources in basic schools. It shows the percentage of
schools reporting either availability or non-availability of specific
resources. This table sets the context for analysing accessibility and
potential impact on teaching and learning.
Availability
of ICT resources
Table 1
|
Table 1 Availability of ICT facilities in schools |
||
|
ICT Resource |
Available |
Not Available |
|
Computers |
18% |
82% |
|
Internet Connectivity |
3% |
97% |
|
Projectors |
9% |
91% |
|
Printers or Scanners |
5% |
95% |
|
Educational Software |
13% |
87% |
|
Electricity Supply |
17% |
83% |
|
N = 225 |
||
|
Source: Field data (2025) |
||
From Table 1, the results reveal a generally very low
availability of ICT resources across the sample of 225 respondents. The results
clearly depict a situation of widespread inadequacy in ICT resource
availability within the studied context. Most of the basic essential digital
tools and infrastructure needed for implementing the Standard Based Curriculum
(SBC) in the Basic schools in Oti region of Ghana are largely missing. The only
resource consistently identified by all respondents as available was the TM1
laptop computer, primarily used for administrative purposes. This indicate that
the basic schools are operating in environments where the integration of
technology are highly limited, severely constrained and under – resourced in
terms of ICT infrastructure. It can be stated that the low availability of ICT
resources across multiple categories indicates systemic challenges rather than
isolated deficiencies.
Table 2 presents the correlation
between ICT resource availability and academic performance. It aims
to check whether increased availability of ICT resources is associated with
better academic performance in basic schools.
Table 2
|
Table 2 Correlation Analysis of Resource
Availability vs Academic Performance |
||
|
Variables |
Resource Availability |
Academic Performance |
|
Pearson Correlation
(r) |
1 |
0.15 |
|
Sig. (2-tailed) |
0.001 |
|
|
N |
225 |
225 |
|
Source Field data (2025) |
||
A Pearson
correlation analysis in Table 2 was conducted to examine the relationship
between resource availability and academic performance among basic schools.
Results indicated a positive but weak correlation, r (225) = 0.15, p
= 0.001, suggesting that increased availability of educational resources is
associated with slightly better administrative and academic performance.
Table 3 displays the observation made about
enriching the understanding of how ICT resources were available and used.
Table 3
|
Table 3 Thematic Summary of
Observation on ICT Availability and use |
||
|
Theme |
Observed
Practice/Findings |
Interpretation/Implication |
|
Limited ICT Resource
Presence |
Most schools lacked
computers, projectors, and internet access in classrooms. |
Confirms data on low
ICT availability, limits technology integration in lessons. |
|
Improvised ICT Use |
Some teachers
attempted to use personal devices or improvised materials during lessons. |
Despite poor
availability, teachers showed creativity, aligning with attempts to teach
Computing without proper resources. |
|
Low Student Engagement
with ICT |
Minimal student
interaction with ICT tools observed in lessons. |
Lack of access
directly affects student exposure and learning opportunities. |
|
Electricity Challenges |
Inconsistent or absent
power supply in several observed schools. |
Reinforces
availability data, unreliable power hinders ICT use even when devices are
present. |
|
Positive Correlation
in Practice |
Schools with some ICT
resources showed better-structured lessons and higher student interest. |
Supports the observed
positive correlation between resource availability and learning engagement or
performance. |
|
Sources: Field data, 2025 |
||
This thematic
table links the quantitative
correlation findings
with real classroom observations, enriching the understanding of how ICT
availability relates to academic outcomes in practice.
The results of the
correlation analysis in Table 2 revealed a statistically significant but
weak positive relationship between resource availability and academic
performance (r = 0.150, p = 0.001). The study reveals a modest
but statistically significant association between the availability of ICT
resources such as computers, educational software, and electricity and improved
student academic performance. While the data indicate that increased access to
these resources correlates with better learning outcomes, the relatively weak
strength of this relationship suggests that simply providing ICT infrastructure
is not enough to drive meaningful improvements in student achievement.
Observations and
follow-up interviews with teachers and students highlighted key complementary
factors that enhance the impact of ICT integration.
Teacher in Private
School said
“as for me I am not good in ICT usage in teaching”,
Teacher in Public
School said “because I have not been using it after
school to teach, so I am forgetting the usage”.
This means that
some teachers do not have the experiences in using ICT tools for teaching.
First, the quality
of teacher training emerged as critical, professional development equips
teachers with the skills to effectively incorporate technology into their
teaching. Second, innovative pedagogical practices such as active learning and
problem-based instruction proved more influential than mere access to devices.
Finally, effective student engagement strategies, especially interactive and
learner-centred methods, were essential to maximizing the educational benefits
of ICT.
These findings
emphasize the need for comprehensive approaches that integrate infrastructure
development, continuous teacher capacity building, and pedagogical innovation
to realize ICT’s full potential in basic education.
Table 4 presents the ANOVA results of a regression
analysis, which tests the overall significance of the model predicting student
learning outcomes based on ICT resource availability. The goal of this analysis
is to assess whether the variation in ICT availability meaningfully explains
differences in learning outcomes among students.
Table 4
|
Table 4 Regression Analysis Predicting Learning
Outcomes Based on Resource Availability |
||||||
|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
32.155 |
5 |
6.431 |
98.915 |
0.000b |
|
Residual |
10.793 |
145 |
0.065 |
|||
|
Total |
42.948 |
150 |
||||
|
a. Dependent Variable:
Students' academic performance has improved due to available technology. b. Predictors: (Constant),
Availability of ICT resources has improved lesson delivery, Our school has
sufficient computers for teaching and learning, Projectors and smart boards
are available for instructional use, There is a functional computer
laboratory in the school, Teachers have access to educational software and
digital content. |
||||||
The regression
model in Table 4 significantly predicts Students' Academic
Performance. ANOVA showed that the
model is significant: F(5, 150) = 98.92,
p < 0.001, R² = 0.749) it means that about 74.9% of the variance in
students' academic performance is explained by the availability of ICT
resources and infrastructure. This is a very strong model (since R² is close to
1).
Table 5 presents the regression coefficients
(predictor variables) from the model, showing the individual impact of each ICT
resource on learning outcomes. Each predictor’s Beta (β), t-value, and
significance level (p) help assess its unique contribution, controlling for
other variables.
Table 5
|
Table 5 Predictor Variables |
|||||
|
Predictor |
B |
Beta (β) |
t |
p |
Interpretation |
|
(Constant) |
0.481 |
– |
2.722 |
0.007 |
Constant baseline |
|
Sufficient Computers |
0.127 |
0.117 |
2.825 |
0.005 |
Positive, significant
predictor |
|
Projectors/Smart
Boards |
-0.043 |
-0.047 |
-1.087 |
0.279 |
Not significant |
|
Functional Lab |
0.081 |
0.095 |
1.887 |
0.061 |
Marginal (p ~ 0.06),
not strongly significant |
|
Educational Software
Access |
-0.911 |
-1.376 |
-18.193 |
0.000 |
Strong negative effect
(unexpected!) |
|
ICT Resources Improve
Delivery |
1.508 |
1.539 |
21.247 |
0.000 |
Strong positive
effect, most influential |
|
Sources Field
data, 2025 |
|||||
In Table 5 the availability of ICT resources to improve
lesson delivery (β = 1.539, p <
0.001) positively predicted academic performance, whereas access to
educational software (β = -1.376, p
< 0.001) negatively predicted academic performance. Other predictors
were either not significant or marginally significant. ICT resources improving
lesson delivery is the strongest positive predictor.
The availability
of educational technology resources in basic schools has a modest but positive
impact on administration, teaching, and learning. The study showed that when
ICT resources are available, they support better lesson delivery, enhance
student engagement, and improve administrative efficiency. However, the overall
availability of such resources was very low, limiting their potential impact. A
weak but significant correlation suggests that ICT presence alone does not
guarantee improved outcomes unless supported by teacher competence and
effective use. Therefore, while ICT availability contributes positively, its
true impact depends on combining access with teacher training and innovative
instructional practices.
What is the effect of the accessibility of
educational technology resources on administration, teaching and learning at
the Basic Schools?
A comprehensive
statistical analysis of ICT accessibility in Ghana’s basic schools reveals
critical insights into the digital learning landscape across both public and
private institutions. Drawing from multiple statistical outputs (see Table 6, Table 7, Table 8, Table 9), the findings challenge commonly held
assumptions and highlight systemic infrastructural challenges that transcend
differences in school ownership.
Table 6 presents the group statistics comparing public and
private schools on key ICT variables such as teachers’ access to computers, students’
ICT tool use, digital resource accessibility, internet reliability, teachers'
difficulty accessing technology, and maintenance issues. The aim is to assess
whether significant differences exist between public and private institutions
regarding ICT access and usage challenges.
Table 6
|
Table 6 Group Statistics of Respondents in Private
and Public Basic School Accessibility |
|||||
|
Variables |
School Type |
N |
Mean |
Std. Deviation |
Interpretation |
|
Teachers’ computer
access |
Public |
180 |
2.0973 |
0.40010 |
no significant
difference |
|
Private |
45 |
2.1081 |
0.45849 |
||
|
Students’ ICT tool use |
Public |
180 |
2.0354 |
0.26489 |
no significant
difference |
|
Private |
45 |
2.0541 |
0.32880 |
||
|
Digital resource
accessibility |
Public |
180 |
1.9204 |
0.27195 |
no significant
difference |
|
Private |
45 |
1.9189 |
0.27672 |
||
|
Internet/WiFi
reliability |
Public |
180 |
1.1062 |
0.36260 |
no significant
difference |
|
Private |
45 |
1.1622 |
0.44181 |
||
|
Teachers' tech access
difficulties |
Public |
180 |
3.8850 |
0.37206 |
no significant
difference |
|
Private |
45 |
3.8649 |
0.41914 |
||
|
Maintenance issues |
Public |
180 |
3.6814 |
0.79356 |
no significant
difference |
|
Private |
45 |
3.5946 |
0.89627 |
||
|
Sources Field
data, 2025 |
|||||
There is a
universal infrastructure deficiency where Group statistics Table 6 show strikingly similar trends in ICT
accessibility between public and private schools in the region. For example,
teachers' computer access averages just 2.10 on a 3-point scale, where 3
signifies "Sometimes" a finding that suggests basic technology
integration remains limited in both sectors. This undermines the widely held
perception that private schools offer better technological resources. Perhaps
most notably, both public and private schools recorded the same mean (1.92) for
digital resource accessibility, illustrating a shared struggle in ensuring
equitable access to core digital tools. The comparison of means and standard
deviations shows no significant difference across all variables, suggesting
that both public and private schools face similar conditions regarding ICT
access and implementation. This finding highlights that challenges in ICT
integration are systemic and not necessarily tied to school ownership or
management type.
Table 7 presents the results of the t-test,
comparing means of key ICT variables between public and private schools. The
test checks if observed differences in teachers’ computer access, students’ ICT
tool use, digital resource accessibility, internet reliability, teachers'
access difficulties, and maintenance issues are statistically significant.
Table 7
|
Table 7 Independent Sample t-Test |
|||||||
|
Variable |
t |
df |
Sig. (2-tailed) |
Mean Difference |
Std. Error Difference |
95% CI Lower |
95% CI Upper |
|
Teachers’ computer
access |
-0.137 |
229 |
0.891 |
-0.01076 |
0.07862 |
-0.16612 |
0.14459 |
|
Students’ ICT tool use |
-0.350 |
229 |
0.727 |
-0.01866 |
0.05337 |
-0.12412 |
0.08681 |
|
Digital resource
accessibility |
0.028 |
229 |
0.978 |
0.00144 |
0.05173 |
-0.10079 |
0.10366 |
|
Internet/WiFi
reliability |
-0.771 |
229 |
0.442 |
-0.05597 |
0.07262 |
-0.19947 |
0.08753 |
|
Teachers' tech access
difficulties |
0.276 |
229 |
0.783 |
0.02009 |
0.07274 |
-0.12366 |
0.16384 |
|
Maintenance issues |
0.559 |
229 |
0.577 |
0.08682 |
0.15527 |
-0.22000 |
0.39365 |
|
Sources Field
data, 2025 |
|||||||
The p-values in Table 7 (sig. 2-tailed) for all variables exceed the
0.05 threshold, indicating no statistically significant differences between
public and private schools. This confirms that ICT access and implementation
challenges are common across both sectors, reinforcing the need for systemic
interventions rather than sector-specific strategies. These findings are
robust, even when considering the varying funding models, governance
structures, and fee regimes between public and private schools.
Levene’s test
results Table 8 confirm homogeneity of variances,
reinforcing the validity of these comparisons and supporting the reliability of
the null hypothesis across all items.
Table 8
|
Table 8 Levene’s test, p-value > 0.05 |
||
|
Variable |
Levene’s p-value |
Interpretation |
|
Teachers’ computer
access |
0.591 |
Equal variances
assumed |
|
Students’ ICT use |
0.295 |
Equal variances
assumed |
|
Digital resource
access |
0.956 |
Equal variances
assumed |
|
Internet reliability |
0.146 |
Equal variances
assumed |
|
Teacher tech
difficulties |
0.578 |
Equal variances
assumed |
|
Maintenance issues |
0.295 |
Equal variances
assumed |
|
Sources: field
data, 2025 |
||
The variables in Table 8 tested included teachers’ computer access,
students’ ICT use, access to digital resources, internet reliability, teacher
technological difficulties, and maintenance issues. All p-values were greater
than 0.05, indicating that the assumption of equal variances was met for each
variable. This means the variability in responses between groups was
statistically similar, allowing for valid comparisons using parametric tests
like ANOVA. The results confirm that differences observed in subsequent
analyses are not due to unequal variances among the groups compared
Table 9 presents the results of a one-way ANOVA
analysis conducted to compare the accessibility of ICT resources across
different school types (public and private).
Table 9
|
Table 9 One-way ANOVA – Comparing Accessibility by
School Type |
||||||||
|
Variable |
SSb |
SSw |
dfb |
dfw |
MSb |
MSw |
F |
P |
|
Teachers’ computer
access |
0.008 |
9.257 |
1 |
229 |
0.008 |
0.063 |
0.137 |
0.891 |
|
Students’ ICT tool use |
0.007 |
2.419 |
1 |
229 |
0.007 |
0.016 |
0.350 |
0.727 |
|
Digital resource
accessibility |
0.0001 |
2.027 |
1 |
229 |
0.0001 |
0.014 |
0.028 |
0.978 |
|
Internet/WiFi
reliability |
0.104 |
3.893 |
1 |
229 |
0.104 |
0.026 |
0.771 |
0.442 |
|
SSb = Sum of Squares Between, SSw = Sum of
Squares Within, df = Degrees of Freedom, MS = Mean Square, F = F-Statistic, p
= Significance Level |
||||||||
The variables in Table 7 analysed included teachers’ access to
computers, students’ use of ICT tools, accessibility of digital resources, and
reliability of internet/Wi-Fi. The results showed no statistically significant
differences in ICT accessibility between public and private schools across all
variables, as indicated by the low F-values
and high p-values (all p > 0.05).
This suggests that both school types face similar challenges in accessing ICT
resources for administration, teaching, and learning.
Classroom
observations in selected public and private basic schools confirmed the survey
findings on ICT accessibility. Most schools lacked essential digital tools like
projectors, computers, and tablets, or had them locked away due to fears of
theft or misuse. In some cases, the devices were present but non-functional
because of neglect and poor maintenance. Teachers often relied on traditional
teaching methods like the chalkboards and few with marker boards, even in
schools with ICT equipment. Internet access was unreliable or completely
absent, making it difficult to use online learning platforms or digital
content. Students showed interest in technology but had little to no hands-on
experience with ICT tools. Internet services, when available, were often paid
for by teachers themselves rather than provided by the school. Teachers also
expressed frustration with the frequent breakdown of devices, lack of timely
repairs, and inadequate technical support. These issues were common in both
public and private schools, pointing to a systemic problem rather than isolated
cases. The observations confirm that poor accessibility, weak maintenance
systems, and lack of reliable internet significantly hinder the effective
integration of ICT in teaching and learning. As a result, the potential
benefits of educational technology are not being realized in many basic
schools. This situation calls for coordinated efforts to improve
infrastructure, technical support, and ICT training for teachers across the
education sector.
The study explored
the effect of accessibility of educational technology on teaching and learning
in basic schools across public and private institutions in Ghana. Statistical
analyses Table 6, Table 7, Table 8, Table 9 revealed no significant difference between
public and private schools in teachers’ computer access, students' ICT tool
use, and access to digital resources, internet reliability, and maintenance
challenges. Both sectors face similar systemic constraints, including poor
infrastructure, limited access to functional ICT tools, and unreliable internet
connectivity. Classroom observations confirmed these findings ICT tools were
often absent, locked away, or non-functional due to neglect and lack of
maintenance. Teachers mainly relied on traditional methods like chalkboards,
with minimal use of digital resources. Where internet was available, it was
often unreliable and paid for by teachers themselves. Students showed interest
in technology but lacked practical exposure. Teachers expressed frustration
over equipment breakdowns and delayed repairs. The study highlights that ICT
access barriers are a widespread, systemic issue, not confined to school
ownership or management type. Addressing these challenges requires coordinated
national efforts focused on infrastructure improvement, maintenance support,
reliable internet provision, and teacher training. Without such interventions,
the potential of educational technology to enhance teaching and learning in
Ghanaian basic schools remains largely unrealized.
What are the challenges in the implementation
of modern teaching technology in teaching and learning at the Basic Schools?
Table 10 presents the mean rankings of key
ICT-related challenges identified by teachers in basic schools, based on
responses from 231 participants.
Table 10
|
Table 10 Mean Rankings of ICT Challenges (N = 231) |
|||
|
Challenge in the Basic
Schools |
Mean |
Standard Deviation |
Rank |
|
Inadequate ICT
infrastructure |
4.21 |
0.77 |
1 |
|
Unreliable
electricity/power supply |
4.09 |
0.84 |
2 |
|
Poor internet
connectivity |
3.96 |
0.89 |
3 |
|
Insufficient teacher
training |
3.88 |
0.90 |
4 |
|
Lack of technical
support |
3.72 |
0.91 |
5 |
|
High cost of
maintenance |
3.55 |
0.88 |
6 |
|
Limited time for tech
integration |
3.42 |
1.02 |
7 |
|
Resistance to
technology adoption |
3.24 |
0.95 |
8 |
|
Sources Field Data,
2025 |
|||
The ranking in Table 10 reflects the severity of each challenge as
perceived by respondents, with higher mean scores indicating more pressing
issues. The table highlights eight major barriers affecting the effective
integration of educational technology in teaching and learning of the standard
based curriculum. These challenges range from infrastructural deficits and
unreliable power supply to poor internet connectivity, insufficient teacher
training, and lack of technical support. The ranking helps prioritize areas
that require urgent attention for improving ICT access and use in Ghanaian
basic schools.
Table 11 presents the results of Spearman’s
rank-order correlation analysis conducted to examine the relationships among
eight key ICT challenges identified in basic schools.
Table 11
|
Table 11 Spearman’s
Correlation Coefficients Among ICT Challenges (N = 231) |
||||||||
|
Variables |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
|
1. Inadequate ICT
infrastructure |
1.00 |
0.58 |
0.61 |
0.45 |
0.52 |
0.49 |
0.43 |
0.39 |
|
2. Unreliable
electricity supply |
1.00 |
0.53 |
0.41 |
0.44 |
0.46 |
0.38 |
0.36 |
|
|
3. Poor internet
connectivity |
1.00 |
0.47 |
0.50 |
0.48 |
0.42 |
0.40 |
||
|
4. Insufficient
teacher training |
1.00 |
0.57 |
0.45 |
0.41 |
0.39 |
|||
|
5. Lack of technical
support |
1.00 |
0.53 |
0.46 |
0.44 |
||||
|
6. High cost of
maintenance |
1.00 |
0.40 |
0.38 |
|||||
|
7. Limited time for
tech integration |
1.00 |
0.35 |
||||||
|
8. Resistance to
technology adoption |
1.00 |
|||||||
|
Correlation
is Significant at the 0.01 Level (2-Tailed). |
||||||||
The analysis in Table 11 reveals significant positive correlations between most variables,
indicating that these challenges are interrelated. For instance, inadequate ICT
infrastructure showed a strong positive correlation with poor internet
connectivity (ρ = 0.61, p < 0.01) and unreliable electricity supply
(ρ = 0.58, p < 0.01). Similarly, insufficient teacher training was
strongly associated with lack of technical support (ρ = 0.57, p <
0.01). These findings suggest that when schools face one ICT-related challenge,
they are more likely to encounter other related challenges, highlighting a
systemic pattern of interdependence among infrastructural, technical, and human
resource issues. The consistent significance of these correlations underscores
the need for comprehensive and integrated interventions in addressing ICT
challenges in basic education.
Table 12 summarizes the results of the Kruskal-Wallis
H tests conducted to examine whether perceptions of ICT challenges differ
significantly between public and private basic schools.
Table 12
|
Table 12 Kruskal-Wallis
H-Test Comparing ICT Challenges by School Type (N = 231) |
|||
|
ICT Challenge |
χ² (df = 1) |
p-value |
Interpretation |
|
Inadequate ICT
infrastructure |
1.78 |
0.182 |
Not Significant |
|
Unreliable electricity
supply |
0.93 |
0.335 |
Not Significant |
|
Poor internet
connectivity |
1.24 |
0.265 |
Not Significant |
|
Insufficient teacher
training |
0.68 |
0.410 |
Not Significant |
|
Lack of technical
support |
1.05 |
0.306 |
Not Significant |
|
High cost of
maintenance |
0.79 |
0.374 |
Not Significant |
|
Limited time for tech
integration |
0.52 |
0.470 |
Not Significant |
|
Resistance to
technology adoption |
0.86 |
0.354 |
Not Significant |
|
Sources
Field Data, 2025 |
|||
The analysis in Table 12 assessed eight identified ICT challenges,
comparing responses based on school ownership. The findings reveal that none of
the ICT challenges showed statistically significant differences across the two
school types (all p-values > 0.05). For example, the challenge of poor
internet connectivity yielded a chi-square value of 1.24 with a p-value of
0.265, indicating no significant difference in perceptions between public and
private school respondents in the region. These results suggest that the severity
and nature of ICT-related challenges are consistently experienced across both
sectors. This uniformity highlights systemic issues within the broader
educational landscape, underscoring the need for sector-wide interventions
rather than ownership-specific strategies.
The interviews
conducted revealed several key challenges affecting the implementation of
modern teaching technology in basic schools. Participants highlighted critical
issues such as inadequate ICT infrastructure, frequent electricity outages, and
poor or no internet connectivity, which hinder the effective use of technology
in classrooms. Teachers also expressed concerns over insufficient training and
lack of technical support, making it difficult to integrate ICT tools
confidently. Additionally, they pointed out the high cost of maintenance and
limited time for technology integration due to heavy workloads. Some
respondents noted resistance among teachers who felt unprepared or viewed
technology as an additional burden. These insights underscore the multifaceted
nature of the challenges, reflecting both systemic and individual barriers to
successful technology adoption in the implementation basic education
standard-based curriculum.
Interview Response 1 – Infrastructure and Equipment
"We don't have enough computers or projectors in our school. Even when we manage to get a few, they are either outdated or faulty. This makes it hard for us to plan any technology-based lessons. The few devices we have are often shared among many teachers, which discourages regular use." (Teacher, Rural Public School)
Interview Response 2 – Electricity Supply
"Power outages are a constant problem here. Sometimes, when you prepare a lesson that involves technology, there's no electricity on the day. It discourages both teachers and students because you can't depend on it. You end up abandoning the idea altogether." (Teacher, Urban Public School)
Interview Response 3 – Internet Connectivity
"The internet connection in our school is either too slow or completely unavailable. Even if you want to use online teaching resources or educational platforms, you are forced to use your own mobile data and that is expensive. Without reliable internet, we cannot effectively use modern teaching tools." (Teacher, Private Basic School)
Interview Response 4 – Teacher Training and Support
"Most of us have never received formal training in using ICT tools for teaching. The workshops are either too short or too general. Sometimes, even when you try to learn on your own, there’s no one to support you when things go wrong. You just give up and go back to the traditional way of teaching." (Teacher, Public Basic School)
Interview Response 5 – Time and Resistance to Change
"The workload is already too much with large class sizes and tight timetables. Integrating technology into lessons takes extra preparation time, and honestly, some teachers see it as more of a burden than a help. They fear making mistakes in front of students or facing technical issues they can’t fix." (Teacher, Private Basic School)
The study revealed several interrelated challenges hindering the effective implementation of modern teaching technology in Ghanaian basic schools. Quantitative data identified inadequate ICT infrastructure, unreliable electricity supply, and poor internet connectivity as the most pressing issues, followed by insufficient teacher training, lack of technical support, and the high cost of maintenance. Limited time for technology integration and resistance to adoption also emerged as notable barriers. The strong correlations among these challenges suggest a systemic pattern of infrastructural, technical, and human resource constraints. Further analysis showed no significant difference between public and private schools regarding these challenges, highlighting the sector-wide nature of the problem.
Qualitative
interviews reinforced these findings. Teachers reported a lack of adequate and
functional ICT equipment, frequent power outages, and unreliable internet
connectivity, which undermine the integration of technology in teaching. They
also cited insufficient training and a lack of technical support as factors
that diminish their confidence in using ICT tools. Additionally, time
constraints and resistance from some teachers who perceive technology use as
burdensome further complicate adoption efforts. These findings underscore the
need for comprehensive interventions addressing both infrastructural and
capacity-building needs to enhance the integration of educational technology in
basic education.
DISCUSSIONS
This study
explored how the availability, accessibility, and implementation challenges of
ICT influence teaching and learning in Ghanaian basic schools. Guided by the
Technology Acceptance Model (TAM) and the Digital Divide Theory, the findings
highlight systemic gaps that undermine the effective integration of technology,
especially in the context of Ghana’s Standards-Based Curriculum.
The impact of availability on administration, teaching and learning
The study confirms
that while availability of ICT resources is critical, it alone does not
guarantee improved teaching outcomes. Consistent with TAM, the perceived
usefulness of ICT depends on its presence in the learning environment. However,
only 18% of surveyed schools possessed computers, severely limiting both
exposure and utilization. This scarcity not only diminishes the potential for
positive user experiences but also reinforces disparities, as explained by the
Digital Divide Theory, with undeveloped community schools bearing the brunt of
infrastructural deficits.
The study's
regression analysis revealed that while the availability of ICT tools (β =
1.539) positively influenced lesson delivery, access to educational software
paradoxically had a negative impact (β = -1.376). This suggests a
misalignment between available digital tools and curricular needs, echoing
global findings Kozma
(2005), OECD (2022) that technology must complement pedagogical
goals. In Ghana, similar gaps were highlighted by Asabere
and Enguah (2012) and Buabeng-Andoh
(2022), with the COVID-19 pandemic UNESCO
(2023) exposing the systemic neglect of ICT
readiness in schools.
The effect of accessibility on administration, teaching and learning
While availability
provides the foundation, accessibility the practical ability to use available
resources proves to be an even greater challenge. According to TAM,
accessibility is mediated by perceived ease of use, yet this study found no
significant accessibility differences between public and private schools,
indicating that barriers are systemic. Despite the presence of ICT tools in
some schools, unreliable electricity, lack of maintenance, and limited
technical support rendered many resources inaccessible.
Observations
revealed that teachers often resorted to using personal devices, a practice
that proved unsustainable. Internet reliability was alarmingly low (mean =
1.10), while lack of technical support (mean = 3.72) further restricted access.
These findings align with prior studies in Kenya, Nigeria, and Ghana Hennessy
et al. (2010), Boateng
et al. (2020), Africa
Education Watch (2024), which reported underutilized ICT
infrastructure due to maintenance and support challenges.
Challenges in implementation of ICT in teaching and learning
The successful
integration of ICT is moderated by persistent implementation challenges. The
study identified inadequate infrastructure (mean = 4.21), insufficient teacher
training (mean = 3.88), and lack of technical support (mean = 3.72) as the most
significant barriers. These factors directly influence TAM’s ease of use
dimension, while the Digital Divide Theory frames them as systemic inequities,
particularly in rural contexts.
Spearman’s
correlation analysis demonstrated strong interconnections among challenges,
poor internet connectivity was linked to inadequate infrastructure (ρ =
0.61), and insufficient training was correlated with lack of technical support
(ρ = 0.57). Interview data underscored teacher frustrations with outdated
devices, inconsistent electricity, and bureaucratic inefficiencies in
addressing technical issues.
These findings
reflect global trends identified by Warschauer
(2004) and OECD (2022), emphasizing that teacher readiness and
systemic support are vital. In Ghana, Agyei
and Voogt (2012) and Buabeng-Andoh
(2022) have similarly pointed to the failure of policies to tackle
last-mile implementation challenges. The COVID-19 pandemic further exacerbated
these shortcomings, exposing the absence of digital contingency plans in many
schools UNESCO
(2023).
Synthesis of findings
The findings
reflect a vicious cycle where limited availability leads to poor accessibility,
which in turn amplifies implementation challenges, ultimately hindering
adoption. This cyclical problem resonates with both TAM and Digital Divide
Theory, highlighting the need for coordinated, systemic interventions that
address technological, pedagogical, and policy-level gaps.
Empirical evidence
from both Ghana and other developing contexts underscores the urgency for
context-sensitive and sustainable solutions. Interventions should prioritize
localized ICT hubs, foster community partnerships, and enforce educational
policy reforms to ensure equitable access and meaningful integration of
technology into teaching and learning as required by the Standard based
curriculum.
CONCLUSIONS
The effective use
of ICT in Ghanaian basic schools cannot be achieved through isolated efforts.
Addressing the deeply interconnected issues of availability, accessibility, and
implementation challenges requires a unified approach combining infrastructure
development, continuous teacher capacity building, and robust policy
frameworks.
RECOMMENDATIONS
Effective ICT
integration in basic schools requires a multi-stakeholder approach involving
the Ministry of Education, the Ghana Education Service (GES), and other key
actors. Based on the study findings, the following recommendations outline how
each stakeholder can contribute to bridging the digital divide and enhancing
teaching and learning outcomes in Oti region of Ghana.
The Ministry of
Education should spearhead the creation of community ICT hubs in underserved
areas by partnering with NGOs, private sectors, and local authorities.
Investment in solar-powered centres will ensure reliable access. A national
monitoring framework must track usage and impact, while aligning ICT hub
activities with school curricula and community digital literacy programs for
broader educational benefits.
The Ghana
Education Service should mandate continuous ICT pedagogy training through
Professional Learning Communities (PLCs), promoting collaboration and peer
mentoring. Training must align with in-service and CPD requirements, supporting
teacher appraisal and career growth. District-level workshops and partnerships
with colleges of education and ICT experts will ensure practical, relevant
training that enhances teachers' confidence and competence in ICT integration.
The Ghana
Education Service should enforce ICT policies by establishing monitoring units
at district, conducting regular audits, and offering targeted support for
schools with ICT deficits. Tailored interventions like technical support,
maintenance, and teacher coaching are essential. Feedback mechanisms will help
refine policies, ensuring effective ICT integration and continuous improvement
in teaching and learning.
By aligning the
efforts of the Ministry of Education and the Ghana Education Service with best
global practices, Oti region for that matter Ghana’s basic education sector can
break the cycle of low ICT availability, poor accessibility, and persistent implementation
challenges. These coordinated actions will enhance digital equity, empower
teachers, and improve learning outcomes across the country, particularly in
marginalized communities.
Ethical Statement
Written consent
was obtained from the participants before commencement of the data collection.
The headteachers, classroom teachers and the students were allowed to
voluntarily participate in the study which ensured ethical adherence.
Generative AI Statement
In this research,
the AI tool ChatGPt was minimally used for summarisation. All contents summarised by the AI tool was
rephrased to reflect the original ideas. We, as the authors take full
responsibility for the content of our published work.
ACKNOWLEDGMENTS
The authors appreciate the honest and willing contribution of the headteachers, teachers and students who served as participants and provided valuable information which led to the success of this research.
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