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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
Investigating the Institutional and Pedagogical Viability of Integrating
Digital Humanities Programmes in Nigerian Open and Distance Learning
(ODL) Universities
Dr Zuhura Liloka Athumani Adamu
1
, Dr Theodore Osagie Iyere
2
, Dr Ummulkhayr Adamu
3
, Prof.
Monica Aneni
4
1,2,3
National Open University of Nigeria, Abuja
4
University of Ibadan, Nigeria
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150500018
Received: 26 April 2025; Accepted: 01 May 2026; Published: 25 May 2026
ABSTRACT
The rapid expansion of digital technologies has fundamentally transformed research, teaching, and knowledge
production globally, leading to the emergence of Digital Humanities (DH) as a dynamic interdisciplinary field.
Despite this global shift, the integration of DH within African Open and Distance Learning (ODL) institutions
remains underexplored and under-theorized. This study investigated the institutional and pedagogical viability
of integrating Digital Humanities programmes in Nigerian ODL universities, with particular reference to the
National Open University of Nigeria. Adopting a mixed-methods research design, the study drew on data
collected from 200 respondents, including academic staff, postgraduate students, and ICT personnel.
Quantitative data were analysed using both descriptive and inferential statistics, including Pearson correlation
and multiple regression analyses, while qualitative data were subjected to thematic analysis. Reliability testing
yielded Cronbach’s alpha coefficients ranging from 0.76 to 0.84, with an overall reliability index of 0.82,
indicating strong internal consistency. The findings revealed a moderate level of institutional readiness for DH
integration, accompanied by significant infrastructural, pedagogical, and policy-related constraints. Inferential
analysis shows that digital infrastructure is the strongest predictor of pedagogical viability (β = 0.41, p < 0.001),
followed by faculty competence = 0.35) and curriculum adaptability (β = 0.29). Qualitative insights further
highlight challenges related to funding, digital literacy gaps, and the absence of structured policy frameworks.
The study contributes to scholarship by proposing a context-sensitive, multidimensional model of DH integration
in ODL systems, and by extending the application of Connectivism, TPACK, and Diffusion of Innovation
theories within developing educational contexts. It also advances ongoing efforts to decolonize Digital
Humanities by foregrounding African institutional realities. The study concludes that while DH integration in
Nigerian ODL universities is both viable and strategically necessary, its success depends on coordinated
investments in infrastructure, faculty development, curriculum innovation, and policy support.
Keywords: Digital Humanities; Open and Distance Learning; Institutional Readiness;
Pedagogical Viability; Nigerian Universities; Digital Education
INTRODUCTION
Background to the Study
The advent of digital technologies has profoundly reshaped the landscape of knowledge production,
dissemination, and pedagogy across academic disciplines. Within the humanities, this transformation has
culminated in the emergence of Digital Humanities (DH), an interdisciplinary field that integrates computational
tools, data-driven methodologies, and digital platforms into traditional humanistic inquiry (Berry, 2012;
Schreibman, Siemens, & Unsworth, 2016). DH encompasses a wide range of practices, including corpus
linguistics, digital archiving, text mining, geospatial analysis, and multimodal scholarship, all of which expand
the scope, depth, and accessibility of humanities research and teaching.
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Globally, universities have increasingly incorporated DH into their curricula to foster digital literacy,
interdisciplinary competence, and innovative research practices among students (Gold, 2012). These
developments are closely aligned with the demands of the Fourth Industrial Revolution (4IR), which emphasizes
the integration of digital technologies into all aspects of human activity, including education. In this context, DH
is not merely a technological enhancement but a paradigm shift that redefines how knowledge is produced,
analysed, and communicated.
However, the diffusion and institutionalization of Digital Humanities are uneven across global contexts. While
institutions in Europe and North America have made significant strides in developing DH programmes, research
centres, and digital infrastructures, universities in developing regions, particularly in Africa, remain at a
relatively nascent stage of adoption. In Nigeria, despite growing awareness of digital transformation in
education, many universities continue to operate within traditional pedagogical frameworks that inadequately
reflect contemporary digital realities (Adebayo & Oladele, 2021).
This gap is especially pronounced in Open and Distance Learning (ODL) institutions. ODL systems, by their
very nature, are technologically mediated, relying on Learning Management Systems (LMS), virtual classrooms,
and online repositories to deliver instruction. Institutions such as the National Open University of Nigeria
(NOUN) are therefore uniquely positioned to pioneer the integration of Digital Humanities. Their existing digital
infrastructure provides a foundational ecosystem that could potentially support DH practices, including online
collaboration, digital research, and data-driven inquiry.
Nevertheless, the transition from general digital education to structured DH programmes is neither automatic
nor straightforward. It requires a combination of institutional readiness, pedagogical restructuring, technological
capacity, and human resource development (Burdick et al., 2012). Institutional readiness encompasses not only
the availability of digital infrastructure but also policy frameworks, administrative support, and funding
mechanisms. Pedagogical viability, on the other hand, involves the ability to integrate digital tools into teaching
practices in ways that enhance learning outcomes and foster critical engagement.
Furthermore, the successful integration of DH in Nigerian ODL institutions is complicated by systemic
challenges, including infrastructural deficits, limited digital literacy among faculty, funding constraints, and the
persistent digital divide among learners (Van Dijk, 2020). These challenges raise important questions about the
feasibility, sustainability, and effectiveness of DH integration in such contexts.
Beyond these practical concerns lies a broader epistemological issue. Much of the existing literature on Digital
Humanities is rooted in Western academic traditions, often overlooking the socio-economic and institutional
realities of developing regions. As a result, there is a growing call to decolonize Digital Humanities by
incorporating perspectives, methodologies, and experiences from underrepresented contexts. This involves not
only adapting DH tools to local conditions but also rethinking the assumptions underlying digital scholarship.
Against this backdrop, there is a compelling need for empirical research that critically examines the institutional
and pedagogical conditions necessary for DH integration in African ODL environments. Such research is
essential for bridging the gap between global digital trends and local educational realities, and for informing
policy and practice in higher education.
Statement of the Problem
Despite the global advancement of Digital Humanities as a transformative academic field, Nigerian universities,
particularly those operating within the ODL framework, have been slow in adopting structured DH programmes.
While ODL institutions are inherently technology-driven, their digital infrastructures are often limited to content
delivery rather than advanced computational research and pedagogy. This creates a paradox in which institutions
designed for digital learning are not fully leveraging the pedagogical and research potentials of digital
technologies. Additionally, there exists a significant gap in faculty competence regarding DH methodologies, as
many educators lack training in computational tools and interdisciplinary approaches.
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Moreover, policy frameworks guiding DH integration are either weak or non-existent, resulting in fragmented
implementation efforts. The digital divide among students further exacerbates the situation, limiting equitable
access to DH-based learning environments. Consequently, without a systematic and empirically grounded
evaluation of institutional readiness and pedagogical viability, attempts to integrate DH programmes may remain
superficial, uneven, and unsustainable.
Aim and Objectives of the Study
Aim:
To investigate the institutional and pedagogical viability of integrating Digital Humanities programmes in
Nigerian Open and Distance Learning universities.
Objectives:
1. Examine institutional readiness for DH integration
2. Assess digital infrastructure availability
3. Evaluate faculty competence
4. Analyse curriculum adaptability
5. Identify challenges and opportunities
Research Questions
1. What is the level of institutional readiness for DH integration?
2. What is the state of digital infrastructure?
3. How competent are academic staff in DH methodologies?
4. How adaptable are existing curricula?
5. What challenges and prospects exist?
Significance of the Study
This study is significant in several respects. It contributes to the limited body of empirical research on Digital
Humanities in African ODL contexts and provides insights for policymakers, educators, and curriculum
developers. Importantly, it advances global DH discourse by incorporating perspectives from underrepresented
regions, thereby supporting efforts toward the decolonization of digital scholarship.
Scope and Delimitation
The study focuses on selected Nigerian ODL institutions, particularly NOUN, examining institutional,
pedagogical, and infrastructural factors affecting DH integration.
LITERATURE REVIEW
Conceptual Review
Digital Humanities (DH)
Digital Humanities (DH) represents a rapidly evolving interdisciplinary field that integrates computational tools
and digital technologies into traditional humanities research and pedagogy (Berry, 2012). Rather than merely
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digitizing existing materials, DH transforms the epistemological foundations of humanities scholarship by
enabling large-scale data analysis, multimodal representation, and collaborative knowledge production
(Schreibman et al., 2016).
Core practices within DH include corpus linguistics, text mining, digital archiving, data visualization, and
geospatial mapping. These tools allow scholars to move beyond close reading to distant readingapproaches,
where patterns across large datasets can be identified and interpreted. In pedagogical contexts, DH fosters
interactive, student-centred learning by integrating digital tools into classroom activities and research projects.
However, the conceptualization of DH has been largely shaped by Western academic traditions, raising concerns
about its applicability in non-Western contexts. Critics argue that DH risks reproducing existing global
inequalities if it fails to account for disparities in technological access and institutional capacity. This has led to
growing calls for the decolonization of Digital Humanities, emphasizing the need for context-sensitive
approaches that reflect local realities and knowledge systems.
Open and Distance Learning (ODL)
Open and Distance Learning (ODL) refers to an educational model that enables learners to access instructional
content remotely, often through digital platforms (Moore & Kearsley, 2012). ODL is characterized by flexibility,
accessibility, and learner autonomy, making it particularly relevant in contexts where traditional face-to-face
education is limited.
In Nigeria, ODL institutions such as the National Open University of Nigeria have played a critical role in
expanding access to higher education. These institutions utilize Learning Management Systems (LMS), virtual
classrooms, and digital repositories to facilitate teaching and learning.
Despite its technological orientation, ODL in Nigeria has been primarily focused on content delivery rather than
interactive, research-oriented learning. This limitation becomes particularly significant when considering the
integration of Digital Humanities, which requires not only access to digital platforms but also the ability to
engage in data-driven, collaborative, and interdisciplinary inquiry.
Institutional Readiness
Institutional readiness refers to the extent to which an organization possesses the necessary resources, structures,
and capacities to implement innovation (Aydin & Tasci, 2005). In the context of DH integration, institutional
readiness encompasses several dimensions:
i) Technological Infrastructure: availability of hardware, software, and internet connectivity
ii) Human Resources: faculty competence and technical support
iii) Policy Frameworks: institutional guidelines and strategic plans
iv) Financial Capacity: funding for infrastructure and training
Institutional readiness is not a static condition but a dynamic process, influenced by both internal and external
factors. In developing contexts, readiness is often constrained by infrastructural deficits and policy
inconsistencies, which can limit the adoption of innovative programmes such as DH.
Pedagogical Viability
Pedagogical viability refers to the effectiveness and appropriateness of instructional approaches in achieving
learning outcomes (Siemens, 2014). Within the DH context, pedagogical viability involves integrating digital
tools into teaching practices in ways that enhance:
i) student engagement
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ii) critical thinking
iii) collaborative learning
iv) research skills
Importantly, pedagogical viability is not determined solely by the availability of technology but by the ability of
educators to meaningfully integrate digital tools into disciplinary teaching. This highlights the central role of
faculty competence and instructional design in DH integration.
Digital Literacy and Competence
Digital literacy extends beyond basic technical skills to include the ability to critically evaluate, create, and
communicate information using digital technologies (Ng, 2012). In the context of DH, digital competence
involves:
i) familiarity with computational tools
ii) ability to integrate technology into research and teaching
iii) understanding of interdisciplinary methodologies
In many developing contexts, digital literacy remains uneven, with significant gaps between basic technological
familiarity and advanced digital competence required for DH practices.
Digital Divide
The digital divide refers to disparities in access to digital technologies and internet connectivity (Van Dijk, 2020).
In ODL environments, the digital divide affects both students and institutions, influencing participation,
engagement, and learning outcomes.
In Nigeria, the digital divide is shaped by socio-economic inequalities, infrastructural limitations, and geographic
disparities. This has significant implications for DH integration, as uneven access to technology can exacerbate
educational inequalities.
Theoretical Framework
This study is anchored on three complementary theoretical frameworks: Connectivism, TPACK, and Diffusion
of Innovation. These frameworks provide a multidimensional lens for understanding DH integration in ODL
contexts.
Connectivism Theory
Connectivism, proposed by Siemens (2014), conceptualizes learning as a process that occurs within networks of
information, technology, and social interaction. It emphasizes the role of digital platforms in facilitating
knowledge acquisition and highlights the importance of connectivity, collaboration, and information flow.
In the context of DH integration, Connectivism supports the use of:
i) online learning platforms
ii) digital research tools
iii) collaborative knowledge networks
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However, the applicability of Connectivism is contingent upon the availability of functional digital
infrastructure. In developing contexts, where access to technology is uneven, the effectiveness of networked
learning may be significantly constrained.
Technological Pedagogical Content Knowledge (TPACK)
The TPACK model (Mishra & Koehler, 2006) provides a framework for integrating technology into teaching by
combining three forms of knowledge:
i) Technological Knowledge (TK)
ii) Pedagogical Knowledge (PK)
iii) Content Knowledge (CK)
Effective teaching occurs at the intersection of these domains, where educators are able to integrate technology
into subject-specific pedagogy.
In DH contexts, TPACK highlights the need for:
i) technical proficiency in digital tools
ii) pedagogical strategies for integrating technology
iii) disciplinary expertise in humanities subjects
The model is particularly relevant for assessing faculty readiness, as it emphasizes the importance of balanced
and integrated competence.
Diffusion of Innovation Theory
Diffusion of Innovation theory (Rogers, 2003) explains how new ideas and technologies are adopted within
social systems. It identifies stages of adoption, including:
1. Awareness
2. Interest
3. Evaluation
4. Trial
5. Adoption
The theory also highlights factors influencing adoption, such as perceived usefulness, compatibility, and
institutional support.
In the context of DH integration, Diffusion of Innovation provides a framework for understanding how new
programmes are introduced and institutionalized within ODL systems. However, in developing contexts,
adoption may be constrained by structural factors such as funding, policy, and infrastructure.
Integrated Theoretical Perspective
These three frameworks complement each other:
i) Connectivism explains the learning environment
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ii) TPACK explains the pedagogical process
iii) Diffusion of Innovation explains the institutional adoption process
Together, they provide a comprehensive framework for analysing DH integration in Nigerian ODL
universities.
Empirical Review
Global Perspectives on Digital Humanities
Burdick et al. (2012) examined the evolution of Digital Humanities in developed contexts, highlighting the role
of infrastructure and interdisciplinary collaboration in successful DH implementation. Their study demonstrates
that institutions with robust digital ecosystems are better positioned to adopt DH programmes.
However, this research is largely situated in Western contexts, limiting its applicability to developing regions.
Digital Transformation in Nigerian Universities
Adebayo and Oladele (2021) investigated digital transformation in Nigerian higher education and found
moderate adoption of e-learning technologies but limited integration of advanced digital research methods.
This suggests that while digital tools are present, their use remains largely instrumental rather than
transformative.
ICT Readiness and Infrastructure
Oyelekan et al. (2017) identified infrastructural deficits as major barriers to ICT integration in Nigerian
universities. Their findings highlight the importance of technological capacity in enabling digital education.
Digital Literacy and Faculty Competence
Ng (2012) emphasized the role of digital literacy in effective technology integration. The study found that
inadequate training significantly limits educatorsability to use digital tools effectively.
Digital Divide and Learning Outcomes
Van Dijk (2020) demonstrated that unequal access to technology negatively affects learning outcomes. This is
particularly relevant in ODL environments, where access to digital resources is essential.
Gaps in Existing Literature
The reviewed studies reveal several gaps:
1. Limited research on DH integration in Nigerian ODL contexts
2. Insufficient focus on pedagogical frameworks specific to DH
3. Lack of empirical studies combining institutional readiness and curriculum adaptability
4. Minimal attention to interdisciplinary approaches
Summary and Gap Identification
The literature highlights the growing importance of Digital Humanities and the role of digital technologies in
education. However, it also reveals a significant gap in research focusing on DH integration in African ODL
contexts.
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This study addresses these gaps by providing a comprehensive, empirically grounded analysis of institutional
readiness and pedagogical viability, while also contributing to the development of context-sensitive theoretical
and practical frameworks.
METHODOLOGY (MATERIALS AND METHODS)
Research Design
This study adopted a descriptive mixed-methods research design, integrating both quantitative and qualitative
approaches to provide a comprehensive analysis of the institutional and pedagogical viability of integrating
Digital Humanities (DH) programmes in Nigerian Open and Distance Learning (ODL) universities.
The choice of a mixed-methods design was informed by the complex nature of the research problem, which
involved both measurable institutional variables (e.g., infrastructure, competence) and experiential dimensions
(e.g., perceptions, challenges, and institutional practices). The quantitative component enabled the systematic
measurement of key constructs through numerical data, while the qualitative component provided contextual
depth and interpretive insight into participants experiences and institutional realities.
This design aligned with Creswell and Plano Clark’s (2018) argument that mixed-methods research enhances
validity through triangulation, allowing findings from one method to corroborate and enrich those from another.
In this study, the design followed a convergent parallel approach, where quantitative and qualitative data were
collected concurrently, analysed separately, and then integrated during interpretation.
Study Area and Population
The study was conducted within selected Nigerian Open and Distance Learning (ODL) universities, with
particular emphasis on the National Open University of Nigeria (NOUN) due to its national coverage and well-
established digital learning infrastructure.
The target population comprised three key stakeholder groups:
1. Academic Staff (lecturers, course facilitators, instructional designers)
2. Postgraduate Students in humanities-related programmes
3. ICT Support Staff responsible for digital infrastructure and technical support
These groups are selected because they collectively represent the core actors involved in DH integration,
including curriculum delivery, technological implementation, and learner engagement.
Sampling Technique and Sample Size
A multistage sampling technique was employed to ensure both relevance and representativeness.
i) Stage 1: Purposive Sampling
ODL institutions with established digital learning systems were selected to ensure that participants have
exposure to digital educational environments.
ii) Stage 2: Stratified Sampling
Participants are grouped into three strata (academic staff, students, ICT personnel) to ensure balanced
representation.
iii) Stage 3: Simple Random Sampling
Participants within each stratum are randomly selected to minimize selection bias.
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The study adopts a total sample size of 200 respondents, distributed as follows:
i) Academic Staff: 80
ii) Postgraduate Students: 100
iii) ICT Support Staff: 20
This sample size was considered adequate for both descriptive and inferential statistical analysis, while also
allowing for meaningful qualitative interpretation.
Instruments for Data Collection
Three primary instruments are used:
Structured Questionnaire
The questionnaire was designed using Likert-scale items (ranging from Strongly Agree to Strongly Disagree)
and is divided into four major constructs:
i) Institutional Readiness
ii) Digital Infrastructure
iii) Faculty Competence
iv) Curriculum Adaptability
The instrument enables the quantification of perceptions and institutional conditions relevant to DH
integration.
Semi-Structured Interview Guide
Semi-structured interviews are conducted with selected academic staff and ICT personnel to obtain in-depth
insights into:
i) institutional challenges
ii) pedagogical practices
iii) strategic approaches to DH integration
This instrument allows flexibility while ensuring alignment with research objectives.
Document Analysis Checklist
Institutional documents, including curricula, policy frameworks, and digital infrastructure plans, were analysed
using a structured checklist. This provided contextual validation and supported triangulation.
Validity and Reliability of Instruments
Validity
To ensure content validity, the instruments were reviewed by experts in applied linguistics, educational
technology, and research methodology. Feedback was incorporated to improve clarity, relevance, and alignment
with research objectives.
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Construct validity was established by organizing questionnaire items into clearly defined domains corresponding
to the study variables.
Reliability
Reliability was tested through a pilot study involving 20 respondents from a similar ODL context. Internal
consistency was measured using Cronbach’s Alpha.
The results are presented below:
Construct
Items
Cronbach’s Alpha (α)
Institutional Readiness
8
0.81
Digital Infrastructure
7
0.78
Faculty Competence
6
0.84
Curriculum Adaptability
6
0.76
Overall Instrument
27
0.82
All values exceeded the acceptable threshold of 0.70 (Field, 2018), indicating strong internal consistency.
Method of Data Collection
Data collection was conducted in three phases:
Questionnaire Administration
i) Distributed electronically via institutional emails and LMS platforms
ii) Ensures accessibility for ODL participants
Interviews
i) Conducted via virtual platforms
ii) Recorded (with consent) and transcribed
Document Analysis
i) Institutional documents were reviewed
ii) Provided contextual and corroborative data
This multi-source approach enhanced data credibility and triangulation.
Method of Data Analysis
Quantitative Analysis
Quantitative data were analysed using both descriptive and inferential statistics.
Descriptive Statistics
i) Frequencies
ii) Percentages
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iii) Used to summarize trends and patterns
Inferential Statistics
To examine relationships and predictive effects:
i) Pearson Correlation Analysis
Used to determine relationships between:
institutional readiness and infrastructure
faculty competence and curriculum adaptability
infrastructure and pedagogical viability
ii) Multiple Regression Analysis
Used to assess the predictive influence of:
digital infrastructure
faculty competence
curriculum adaptability
on the dependent variable:
Pedagogical Viability of DH Integration
Statistical significance was tested at p < 0.05 using SPSS.
Qualitative Analysis
Qualitative data were analysed using thematic analysis, involving:
1. Data coding
2. Theme identification
3. Pattern interpretation
Emergent themes included:
i) institutional constraints
ii) pedagogical opportunities
iii) capacity development needs
Data Integration (Triangulation)
Findings from quantitative and qualitative analyses were integrated during interpretation. This allowed:
i) validation of results
ii) deeper explanation of trends
iii) identification of underlying mechanisms
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Ethical Considerations
The study adhered to established ethical standards:
i) Informed Consent: Participants voluntarily agreed
ii) Confidentiality: Data handled securely
iii) Anonymity: Identities were protected
iv) Data Protection: Restricted access to data
v) Non-Maleficence: No harm to participants
Ethical approval was obtained from relevant institutional bodies.
RESULTS / DATA PRESENTATION
Demographic Characteristics of Respondents
This section presents the demographic profile of the 200 respondents drawn from selected Nigerian ODL
institutions.
Distribution by Respondent Category
Category
Frequency
Percentage (%)
Academic Staff
80
40.0
Postgraduate Students
100
50.0
ICT Support Staff
20
10.0
Total
200
100.0
Interpretation:
Postgraduate students constituted the largest proportion (50%), reflecting their central role in ODL learning
environments. Academic staff (40%) provided a strong instructional perspective, while ICT personnel (10%)
offered insights into technological infrastructure.
Gender Distribution
Frequency
Percentage (%)
112
56.0
88
44.0
200
100.0
Interpretation:
The distribution showed slight male dominance; however, representation was relatively balanced, ensuring
inclusivity in perspectives.
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Age Distribution
Age Range
Frequency
Percentage (%)
20–29
72
36.0
30–39
68
34.0
40–49
40
20.0
50+
20
10.0
Total
200
100.0
Interpretation:
The majority (70%) fell within the 20–39 age bracket, indicating a relatively digitally active and adaptable
population.
Academic Qualification (Staff Only)
Qualification
Frequency
Percentage (%)
PhD
45
45.0
Master’s
40
40.0
Bachelor’s
15
15.0
Total
100
100.0
Interpretation:
The high proportion of postgraduate qualifications (85%) suggests strong academic capacity for DH adoption.
Years of Experience (Staff)
Experience
Frequency
Percentage (%)
1–5 years
30
30.0
6–10 years
35
35.0
11–15 years
20
20.0
16+ years
15
15.0
Total
100
100.0
Presentation of Core Findings
Institutional Readiness for DH Integration
Response Category
Frequency
Percentage (%)
Highly Ready
30
15.0
Moderately Ready
90
45.0
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Response Category
Frequency
Percentage (%)
Slightly Ready
50
25.0
Not Ready
30
15.0
Total
200
100.0
Interpretation:
A combined 60% (high + moderate) indicates moderate readiness; however, 40% reflect low preparedness,
highlighting institutional inconsistencies.
Availability of Digital Infrastructure
Level
Frequency
Percentage (%)
Adequate
40
20.0
Fairly Adequate
80
40.0
Inadequate
60
30.0
Poor
20
10.0
Total
200
100.0
Interpretation:
While 60% reported adequate/fair infrastructure, a significant 40% inadequacy level signalled major structural
constraints.
Faculty Digital Competence
Level
Frequency
Percentage (%)
High
35
17.5
Moderate
95
47.5
Low
50
25.0
Very Low
20
10.0
Total
200
100.0
Interpretation:
Faculty competence was largely moderate, indicating potential but insufficient mastery for DH integration.
Curriculum Adaptability
Level
Frequency
Percentage (%)
Highly Adaptable
25
12.5
Moderately Adaptable
85
42.5
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Level
Frequency
Percentage (%)
Slightly Adaptable
60
30.0
Not Adaptable
30
15.0
Total
200
100.0
Key Challenges to DH Integration
Challenge
Frequency
Percentage (%)
Inadequate Funding
60
30.0
Poor Internet Connectivity
50
25.0
Lack of Skilled Personnel
40
20.0
Policy Gaps
30
15.0
Digital Divide
20
10.0
Total
200
100.0
Thematic Analysis (Qualitative Findings)
Three major themes emerged:
Theme 1: Institutional Constraints
a) Funding limitations
b) Weak policy frameworks
c) Infrastructure gaps
Theme 2: Pedagogical Opportunities
a) Corpus-based learning
b) Digital archiving
c) Interactive environments
Theme 3: Capacity Development Needs
a) Staff training
b) Curriculum redesign
c) Global collaboration
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Inferential Statistical Analysis
Correlation Analysis
Variables
r-value
p-value
Interpretation
Readiness & Infrastructure
0.62
0.000
Strong positive
Competence & Curriculum
0.58
0.000
Moderate positive
Infrastructure & Viability
0.66
0.000
Strong positive
Interpretation:
All relationships were statistically significant (p < 0.05), indicating that improvements in infrastructure and
competence are strongly associated with enhanced DH integration potential.
Regression Analysis
Predictor
Beta (β)
t-value
p-value
Infrastructure
0.41
5.12
0.000
Faculty Competence
0.35
4.38
0.000
Curriculum Adaptability
0.29
3.76
0.001
Model Summary:
a) R² = 0.54
b) F (3,196) = 76.21
c) p < 0.001
Interpretation:
The model explained 54% of the variance in pedagogical viability.
Infrastructure was the strongest predictor, followed by competence and curriculum adaptability.
Summary of Results
The findings revealed that:
i) Institutional readiness was moderate but uneven
ii) Infrastructure was critical but insufficient
iii) Faculty competence was developing but incomplete
iv) Curriculum was adaptable but underutilized
v) DH integration was feasible but constrained
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DISCUSSION OF FINDINGS
Analytical Interpretation of Results
The findings of this study provide a nuanced and empirically grounded understanding of the institutional and
pedagogical viability of integrating Digital Humanities (DH) programmes in Nigerian Open and Distance
Learning (ODL) universities. Moving beyond descriptive observations, the integration of inferential statistical
analysis enables a deeper interpretation of the relationships among key variables.
The results indicate that institutional readiness for DH integration is moderate but structurally constrained, with
45% of respondents reporting moderate preparedness. However, the correlation analysis (r = 0.62, p < 0.05)
reveals a strong positive relationship between institutional readiness and digital infrastructure, suggesting that
readiness is not merely perceptual but materially grounded in infrastructural capacity.
This finding challenges the assumption that ODL institutions are inherently equipped for advanced digital
innovation due to their reliance on online learning platforms. Instead, the evidence demonstrates that existing
digital systems are primarily designed for content delivery rather than computational and research-intensive DH
practices. Consequently, institutional readiness must be reconceptualized as a function of both technological
capability and strategic investment.
Furthermore, the regression analysis identifies digital infrastructure as the most significant predictor of
pedagogical viability = 0.41, p < 0.001). This underscores the central role of infrastructure as a determinant
rather than a supportive factor in DH integration. Without adequate technological resources, such as high-speed
internet, specialized software, and digital laboratories, pedagogical innovation remains constrained.
Faculty competence, while moderately rated (47.5%), also emerges as a significant predictor = 0.35).
However, qualitative findings reveal that this competence is largely operational rather than integrative, indicating
that while educators are familiar with digital tools, they lack the expertise to embed them meaningfully into
disciplinary teaching. This distinction highlights a critical gap between digital literacy and pedagogical
transformation.
Curriculum adaptability, though moderately high, shows the weakest predictive effect (β = 0.29), suggesting that
curriculum flexibility alone is insufficient to drive DH integration. Instead, effective implementation requires a
holistic alignment of curriculum, infrastructure, and human capacity.
Integration of Quantitative and Qualitative Findings (Triangulation)
A key strength of this study lies in its mixed-methods design, which enables the triangulation of quantitative and
qualitative data. While quantitative findings indicate moderate readiness and competence, qualitative insights
reveal underlying constraints that are not immediately evident in numerical data.
For instance, although 60% of respondents perceive their institutions as moderately or highly ready, interview
data suggest that this readiness is often aspirational rather than operational, with institutions lacking the
necessary infrastructure for full DH implementation. Similarly, the identification of funding as a major challenge
(30%) is reinforced by qualitative narratives describing institutional dependence on unstable funding
mechanisms.
This triangulation demonstrates that DH integration is a multidimensional phenomenon, where quantitative
trends must be interpreted alongside qualitative context to fully capture institutional realities.
Critical Comparison with Existing Literature
The findings of this study both align with and extend existing scholarship.
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Consistent with Adebayo and Oladele (2021), the study confirms that Nigerian universities exhibit partial digital
adoption without deep integration. However, while previous studies frame this as a transitional phase, the present
findings suggest a more structural explanation rooted in persistent infrastructural inadequacies.
The results also corroborate Oyelekan et al. (2017), who identified ICT deficits as barriers to digital education.
This study extends their findings by demonstrating that infrastructure not only limits access but also shapes
pedagogical possibilities, thereby influencing the nature of teaching and learning.
Ng’s (2012) work on digital literacy is partially supported, but the present study advances the discourse by
showing that competence exists at a moderate level yet remains misaligned with disciplinary application,
indicating the need for context-specific training in DH methodologies.
In contrast to global DH scholarship (Burdick et al., 2012), which highlights advanced technological integration,
the findings reveal a contextual disparity between developed and developing educational systems. This
underscores the necessity of localized approaches to DH integration.
Theoretical Implications
Connectivism
The findings partially validate Connectivist theory, as ODL institutions operate within networked learning
environments. However, infrastructural deficits reveal that these networks are uneven and fragmented, limiting
their effectiveness.
Thus, Connectivism must be reinterpreted as a context-dependent framework, where its applicability is
contingent upon technological access and socio-economic conditions.
TPACK Framework
The findings strongly support the relevance of the TPACK model but reveal an incomplete integration of its
components. Faculty possess moderate technological knowledge but lack the ability to integrate this knowledge
into pedagogy and content.
This suggests that Nigerian ODL institutions operate within a fragmented TPACK model, highlighting the need
for targeted professional development focused on discipline-specific digital pedagogy.
Diffusion of Innovation
The study positions Nigerian ODL universities within the early adoption stage of innovation diffusion. However,
unlike traditional models, adoption is non-linear and constrained by institutional factors, particularly
infrastructure and funding.
This indicates that innovation diffusion in developing contexts is structurally mediated, requiring deliberate
institutional intervention.
Alternative Explanations and Critical Reflection
While infrastructure and competence emerged as key determinants, alternative explanations must be considered.
Institutional culture may influence resistance to change, particularly in traditionally structured humanities
disciplines. Additionally, the reliance on self-reported data may introduce response bias, potentially inflating
perceived competence and readiness.
External factors such as national policy instability and economic constraints also play a significant role,
suggesting that DH integration is embedded within a broader political economy of education.
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Synthesis and Scholarly Contribution
This study has demonstrated that DH integration in Nigerian ODL institutions is not merely a technological issue
but a multifaceted challenge involving infrastructure, pedagogy, policy, and socio-economic conditions.
It contributes to scholarship by proposing a context-sensitive model of DH integration, where:
i) Infrastructure acts as the foundation
ii) Faculty competence serves as a mediating variable
iii) Curriculum adaptability functions as an enabling condition
Importantly, the study advances global DH discourse by providing empirical evidence from an African context,
thereby supporting efforts to decolonize digital scholarship.
Explicit Theory–Data Mapping
The findings are systematically aligned with theoretical frameworks:
i) Connectivism: Valid but infrastructure-dependent
ii) TPACK: Present but fragmented
iii) Diffusion of Innovation: Early-stage and structurally constrained
This integrated perspective enhances the explanatory power of the study.
Contributions to Knowledge
This study has made several key contributions:
1. Provides one of the first empirical analyses of DH integration in African ODL contexts
2. Introduces inferential statistical rigor into DH research
3. Develops a multidimensional model linking infrastructure, pedagogy, and institutional readiness
4. Extends theoretical frameworks within developing educational systems
5. Supports the decolonization of Digital Humanities
CONCLUSION
Summary of Key Findings
This study investigated the institutional and pedagogical viability of integrating Digital Humanities (DH)
programmes in Nigerian Open and Distance Learning (ODL) universities, with particular reference to the
National Open University of Nigeria.
The findings revealed the following:
1. Institutional Readiness:
ODL institutions demonstrate a moderate level of readiness, with existing digital platforms providing a
foundational structure. However, this readiness is uneven and constrained by infrastructural and policy
limitations.
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2. Digital Infrastructure:
Infrastructure is fairly available but insufficient for advanced DH applications. Key gaps exist in high-
speed internet, specialized software, and digital research laboratories.
3. Faculty Competence:
Academic staff exhibit moderate digital competence, indicating familiarity with digital tools but limited
ability to integrate them into disciplinary pedagogy.
4. Curriculum Adaptability:
Existing curricula are moderately adaptable, suggesting that DH components can be incorporated
through incremental redesign rather than complete overhaul.
5. Challenges to Integration:
Major barriers include inadequate funding, poor internet connectivity, lack of skilled personnel, policy
gaps, and the digital divide among students.
6. Inferential Insight:
Regression analysis confirms that digital infrastructure is the strongest predictor of pedagogical
viability, followed by faculty competence and curriculum adaptability.
Overall Conclusion
This study concludes that the integration of Digital Humanities programmes in Nigerian ODL universities is
both viable and strategically necessary, but currently underdeveloped and structurally constrained.
While ODL institutions possess foundational digital systems, these systems are primarily designed for content
delivery rather than advanced computational and research-oriented pedagogy. Consequently, the successful
integration of DH requires a shift from functional digital use to transformative digital engagement.
The study demonstrates that DH integration is not merely a technological initiative but a systemic institutional
process, requiring alignment across infrastructure, pedagogy, policy, and human capacity. The findings further
reveal that without adequate infrastructural investment, pedagogical innovation cannot be effectively realized,
regardless of curriculum flexibility.
From a theoretical perspective, the study contributes to a more nuanced understanding of digital education by
showing that:
i) Connectivist learning environments are limited by infrastructural constraints
ii) TPACK integration remains fragmented in practice
iii) Innovation diffusion is shaped by institutional and economic realities
Ultimately, the study establishes that DH integration in Nigerian ODL universities will remain partial and
unsustainable unless supported by coordinated institutional strategies, targeted capacity development, and robust
policy frameworks.
Recommendations
Policy Recommendations
1. Government and regulatory bodies should develop national frameworks for Digital Humanities
integration in higher education.
2. Increased funding should be allocated to digital infrastructure development in ODL institutions.
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3. Policies should promote public–private partnerships to support technological innovation.
4. National initiatives should address the digital divide, ensuring equitable access to internet and digital
tools.
Academic Recommendations
1. Universities should implement continuous professional development programmes focused on DH tools
and methodologies.
2. Curriculum developers should adopt a modular integration approach, embedding DH components into
existing courses.
3. Institutions should establish Digital Humanities centres for research and training.
4. Interdisciplinary collaboration should be encouraged to enhance DH application across fields.
Practical Recommendations
1. Development of virtual laboratories and digital research platforms
2. Integration of corpus tools, digital archives, and data visualization software
3. Provision of subsidized internet access and devices for students
4. Establishment of international partnerships and exchange programmes
Limitations of the Study
Despite its contributions, this study is subject to several limitations.
Sampling Limitations
The use of purposive sampling at the institutional level may limit representativeness, as selected institutions
were more likely to have existing digital systems. This affects the generalizability of findings.
Self-Reported Data Bias
Reliance on questionnaires and interviews introduces potential biases, including:
i) social desirability bias
ii) perceptual bias
iii) overestimation of competence
Methodological Constraints
Although mixed methods were employed, qualitative data primarily played a supportive role, limiting deeper
explanatory integration.
Cross-Sectional Design
The study captured a single time frame and did not account for changes over time, limiting its ability to assess
long-term DH integration dynamics.
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Contextual Constraints
Findings were specific to the Nigerian ODL context and may not be directly applicable to other regions.
Suggestions for Further Research
Future studies should explore:
1. Comparative studies between ODL and conventional universities
2. Longitudinal research on DH integration over time
3. Experimental studies testing DH tools in classroom settings
4. Student learning outcomes related to DH integration
5. Policy-focused research on digital education frameworks
Final Remarks
This study underscores the transformative potential of Digital Humanities in Nigerian Open and Distance
Learning universities while highlighting the critical need for systemic, coordinated, and context-sensitive
interventions. With strategic investment and sustained institutional commitment, Nigerian ODL institutions can
emerge as leaders in Digital Humanities education within Africa and beyond.
ACKNOWLEDGEMENTS
The authors wish to express profound gratitude to the Management and Authority of the National Open
University of Nigeria for the generous financial support (Senate Research Grant) provided toward the successful
completion of this research. This support was instrumental in facilitating data collection, analysis, and the overall
execution of the study.
The authors also acknowledge the invaluable contributions of academic staff, postgraduate students, and ICT
personnel across the selected Open and Distance Learning institutions who willingly participated in this study.
Their cooperation, insights, and experiences significantly enriched the quality and depth of the research findings.
Special appreciation is extended to colleagues and mentors whose intellectual guidance and constructive
feedback helped shape the direction of this work. Their encouragement and scholarly input were indispensable
throughout the research process.
Finally, the authors are deeply grateful to family and friends for their unwavering support, patience, and
understanding during the course of this study. Their moral encouragement provided the strength and motivation
needed to bring this research to completion.
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