BLENDED LEARNING APPROACHES AND THEIR INFLUENCE ON STUDENT PERFORMANCE IN SECONDARY SCHOOLS

 

ABSTRACT

This study examined the influence of blended learning approaches on student performance in secondary schools in Akure South Local Government Area of Ondo State, Nigeria. Blended learning, which combines face-to-face instruction with digital tools, has gained increasing attention as a means of improving student engagement, motivation, and academic achievement. A descriptive survey design was employed, involving 150 respondents (120 students and 30 teachers) from seven randomly selected secondary schools. Data were collected using a structured questionnaire with Likert-scale items and analyzed using descriptive statistics and independent sample t-tests. Findings revealed that students exposed to blended learning approaches performed significantly better academically compared to those taught through traditional methods. Blended learning was also found to enhance student motivation and engagement. However, disparities in access to digital tools, limited teacher training, and infrastructural challenges such as poor internet connectivity and unstable electricity hindered effective implementation. The study concludes that while blended learning offers substantial benefits, its success depends on the availability of resources, digital access, and teacher preparedness. Recommendations include investment in ICT infrastructure, teacher professional development, subsidized digital access for students, and the development of inclusive blended learning policies.

 

INTRODUCTION

The evolving landscape of education in the 21st century has witnessed a paradigm shift from traditional teaching models to more dynamic and integrated approaches. Among these, blended learning stands out as a transformative innovation that combines face-to-face instruction with technology-mediated teaching. This instructional method does not merely merge digital tools with classroom teaching; it redefines the learning experience by placing students at the center of the learning process, thus promoting autonomy, collaboration, and personalized learning. In secondary schools, particularly in developing contexts such as Nigeria, the integration of blended learning is reshaping the instructional framework and offering new dimensions to student engagement and academic performance.

Blended learning, also referred to as hybrid learning, is a pedagogical approach that utilizes a mix of traditional classroom methods with online educational materials and opportunities for online interaction (Hrastinski, 2019). The approach provides flexibility in time, location, and pace of learning, allowing students to interact with the content through digital platforms while still receiving guidance from teachers during physical classroom sessions. This dual approach leverages the strengths of both traditional and online learning modalities, creating a more holistic learning environment.

The relevance of blended learning in secondary education has gained considerable attention due to its potential to address longstanding educational challenges such as limited access to quality resources, high student-to-teacher ratios, and varied learning needs. In a study by Boelens et al. (2017), it was revealed that blended learning environments enhance learner engagement by enabling diverse interaction modes—textual, visual, and interactive. These environments are particularly beneficial for secondary school learners who are at a developmental stage where peer collaboration, critical thinking, and technological fluency are essential for academic success and lifelong learning.

Moreover, recent global events such as the COVID-19 pandemic have accelerated the adoption of blended learning strategies across all levels of education. The need for continuity in learning during school closures highlighted the importance of digital infrastructure and the capacity of blended learning to support uninterrupted academic engagement. According to Adedoyin and Soykan (2020), the pandemic underscored the limitations of traditional learning systems and opened up renewed interest in hybrid pedagogies as sustainable and inclusive models of instruction.

The impact of blended learning on student performance has been the focus of numerous empirical studies. For instance, Owston, York, and Murtha (2019) found that secondary school students in blended learning environments exhibited improved academic outcomes compared to those in traditional settings. The researchers attributed this improvement to increased student motivation, timely feedback, and access to diverse learning resources. These findings are supported by Bernard et al. (2014), who conducted a meta-analysis and concluded that blended learning often results in superior student performance due to increased time-on-task and more tailored learning experiences.

In the Nigerian context, however, the application and influence of blended learning in secondary schools remain under-researched. While there is growing awareness of its benefits, practical challenges such as inadequate ICT infrastructure, lack of teacher training, and inconsistent power supply hinder its full implementation (Yusuf & Afolabi, 2020). Nonetheless, schools that have embraced aspects of blended learning—particularly during and after the pandemic—have reported positive feedback from both students and teachers. These schools cite improvements in student independence, digital skills acquisition, and classroom participation.

Another dimension of blended learning’s influence on student performance lies in the promotion of inclusive education. By offering multiple formats of content delivery—video lectures, discussion boards, interactive quizzes, and physical tutorials—blended learning accommodates students with different learning styles and paces. According to Singh, Steele, and Chouhan (2021), this inclusive model leads to better learning retention and academic achievement among students with diverse educational needs, including those who may struggle in traditional learning settings.

Furthermore, the role of the teacher in a blended learning classroom transforms from that of a sole knowledge transmitter to a facilitator and learning guide. This shift in pedagogical roles encourages student agency and active participation, which are key predictors of academic success. Teachers in blended classrooms utilize data analytics to monitor student progress, identify learning gaps, and adjust instructional strategies accordingly (Graham, Woodfield & Harrison, 2013). This data-driven approach contributes significantly to improving student performance and aligning instruction with curriculum goals.

Despite the advantages, blended learning is not without its limitations. It demands a high level of self-discipline from students, who may not yet have developed the metacognitive skills necessary for autonomous learning. Additionally, disparities in digital literacy and access to technology can exacerbate educational inequality among students from different socio-economic backgrounds (Dube, 2020). These challenges call for a thoughtful and context-sensitive implementation strategy that includes capacity building for teachers, investment in ICT infrastructure, and policy frameworks that support equitable access to educational technology.

Blended learning has emerged as a promising approach to enhancing student performance in secondary schools by fostering flexible, engaging, and learner-centered environments. It represents a critical response to the limitations of traditional teaching methods and an opportunity to align education with the demands of the digital age. As secondary education continues to evolve, it is imperative that educational stakeholders understand and leverage the potential of blended learning to improve academic outcomes and promote lifelong learning competencies. Future research must focus on context-specific studies that examine the impact of blended learning across diverse educational settings, especially in resource-constrained environments, to develop models that are both effective and sustainable.

Statement of the Problem

The quality of student performance in secondary schools has remained a growing concern among educators, parents, and policymakers. Despite the numerous reforms aimed at improving instructional delivery and curriculum relevance, the academic outcomes of many students remain suboptimal. This challenge has been partly attributed to the continued reliance on traditional teaching methods that emphasize passive learning, teacher-centered instruction, and memorization over understanding and application. As a result, students often exhibit low engagement, poor motivation, and limited critical thinking skills—factors that directly hinder academic achievement.

In response to these persistent issues, attention has shifted towards the integration of technology into education, giving rise to blended learning as a strategic approach to improve learning experiences and outcomes. Blended learning, which combines face-to-face instruction with digital and online tools, offers the potential to create more flexible, interactive, and student-centered learning environments. Through multimedia content, self-paced activities, and real-time feedback, blended learning is designed to enhance students’ understanding and foster deeper engagement with the subject matter.

However, the adoption and implementation of blended learning in many secondary schools, particularly in Nigeria and similar developing contexts, remain inconsistent and under-explored. Most secondary schools still operate within the boundaries of traditional pedagogical practices with limited technological integration. Where efforts have been made to implement blended learning, such initiatives are often hampered by challenges such as inadequate infrastructure, insufficient teacher training, unreliable internet access, and lack of technical support. These limitations not only affect the quality of delivery but also contribute to unequal learning experiences among students from different socio-economic backgrounds.

Moreover, while some private and well-resourced public schools have begun integrating blended learning approaches—especially following the disruptions caused by the COVID-19 pandemic—there is a lack of empirical data to substantiate claims of improved student performance. The few existing studies have yielded mixed results, making it difficult to draw conclusive evidence on the effectiveness of blended learning in secondary school settings. As such, stakeholders are left with insufficient information to guide decisions on educational investments, policy formulation, and instructional practices.

Another concern is the preparedness of both teachers and students for a blended learning environment. Many teachers lack the requisite digital literacy and pedagogical knowledge to design and deliver effective blended instruction. Similarly, students often struggle with the self-regulation and motivation needed to learn independently online. Without proper support structures, blended learning may not yield the desired impact on academic achievement and may even widen the performance gap among learners.

Given these gaps, there is an urgent need to examine how blended learning approaches influence student performance in secondary schools. Understanding the extent to which blended learning improves—or fails to improve—academic outcomes is essential for evidence-based planning and sustainable educational development. This study therefore seeks to investigate the influence of blended learning approaches on student performance, taking into account the contextual realities of Nigerian secondary schools, and identifying the factors that promote or inhibit its effectiveness.

 

Objectives of the Study

The general objective of this study is to examine the influence of blended learning approaches on student performance in secondary schools. Specifically, the study seeks to:

1. Investigate how the integration of blended learning strategies affects students’ academic performance in secondary schools.
2. Examine the level of student engagement and motivation in blended learning environments compared to traditional classroom settings.
3. Assess the extent to which students have access to, and effectively utilize, digital tools in blended learning contexts.
4. Evaluate the readiness and capacity of secondary school teachers to implement blended learning approaches.
5. Identify the challenges and limitations associated with the use of blended learning in secondary education.

Research Questions

To guide the study, the following research questions were raised:

1. What is the effect of blended learning approaches on the academic performance of secondary school students?
2. How does blended learning influence students’ engagement and motivation in the learning process?
3. To what extent do students have access to digital tools and platforms required for effective participation in blended learning?
4. How prepared are secondary school teachers to adopt and implement blended learning strategies?
5. What challenges do schools, teachers, and students face in implementing blended learning approaches in secondary education?

Research Hypotheses

The following null hypotheses are formulated to guide the study and will be tested at the 0.05 level of significance:

H₀₁: There is no significant difference in academic performance between students taught using blended learning approaches and those taught using traditional methods.

H₀₂: There is no significant difference in student engagement and motivation between students exposed to blended learning and those taught through conventional classroom methods.

H₀₃: There is no significant relationship between students' access to digital tools and their academic performance in blended learning environments.

H₀₄: There is no significant difference in the level of preparedness between teachers who implement blended learning approaches and those who use traditional methods.

H₀₅: There is no significant influence of implementation challenges on the effectiveness of blended learning in secondary schools.

Methodology

This study adopts a descriptive survey research design to investigate the influence of blended learning approaches on student performance in secondary schools. The design is appropriate because it enables the researcher to collect data from a defined population to describe existing conditions, opinions, practices, and relationships without manipulating any variables.

            The target population for this study includes all public and private secondary school students and teachers in Akure South Local Government Area of Ondo State, Nigeria. This area is selected due to its diverse mix of urban and semi-urban schools with varying levels of access to digital resources.

            A sample of 150 respondents will be used for this study, consisting of 120 students and 30 teachers drawn from seven randomly selected secondary schools in the local government area. A multi-stage sampling technique will be employed:

 Data will be collected using a structured questionnaire designed in two sections: Section A will collect demographic information such as sex, age, marital status (for teachers), and academic qualification (for teachers). Section B will consist of items based on a 5-point Likert scale (Strongly Agree = 5 to Strongly Disagree = 1), covering five key areas: academic performance, student engagement/motivation, access to digital tools, teacher preparedness, and implementation challenges.

Descriptive statistics such as frequency counts, mean, and standard deviation will be used to answer the research questions. To test the hypotheses, independent sample t-tests will be used to determine significant differences or relationships between variables.  

Presentation of Results

This section presents the analysis of the data collected from 150 respondents (120 students and 30 teachers) across seven secondary schools in Akure South Local Government Area of Ondo State.  

Demographic Data of Respondents

Table 1: Distribution of Respondents by Sex

Sex	Students (n=120)	Teachers (n=30)	Total (%)
Male	58	12	70 (46.7%)
Female	62	18	80 (53.3%)

The data shows a balanced gender distribution, with female respondents slightly more represented (53.3%).

Table 2: Distribution of Teachers by Marital Status

Marital Status	Frequency	Percentage
Single	8	26.7%
Married	20	66.7%
Divorced	2	6.6%

Most of the teachers (66.7%) are married, while a smaller percentage are single or divorced.

Table 3: Distribution of Teachers by Qualification

Qualification	Frequency	Percentage
NCE	3	10%
B.Ed/B.Sc (Education)	19	63.3%
M.Ed/M.Sc (Education)	8	26.7%

  A majority of the teachers hold a Bachelor’s degree in Education (63.3%), indicating a reasonably qualified teaching staff.

Responses to Research Questions

Research Question 1: What is the effect of blended learning approaches on students’ academic performance?

Item	SA	A	U	D	SD	Mean	SD
Blended learning improves students’ academic performance	62	38	10	6	4	4.19	0.88
I understand subjects better when digital tools are used	58	42	8	9	3	4.17	0.92
Online videos and tutorials help me improve my grades	66	39	5	6	4	4.25	0.85

The findings from this section indicate a strong positive perception of the impact of blended learning on academic performance. Mean scores for items such as “Blended learning improves students’ academic performance” (M=4.19), “I understand subjects better when digital tools are used” (M=4.17), and “Online videos and tutorials help me improve my grades” (M=4.25) all fall within the “Agree” to “Strongly Agree” range. This suggests that students perceive blended learning tools—such as instructional videos, online quizzes, and digital simulations—as effective complements to traditional teaching.

The mean scores (above 4.0) show that students agree that blended learning has a positive effect on their academic performance.

Research Question 2: How does blended learning influence students’ engagement and motivation?

Item	SA	A	U	D	SD	Mean	SD
I am more motivated to learn when using digital platforms	60	40	10	5	5	4.17	0.93
Blended classes keep me more engaged than normal classes	54	43	11	6	6	4.07	0.97
I complete my assignments faster with online tools	51	46	9	8	6	4.03	0.96

Blended learning was reported to significantly increase both student engagement and motivation. Mean values for items like “I am more motivated to learn when using digital platforms” (M=4.17) and “Blended classes keep me more engaged than normal classes” (M=4.07) affirm this trend. Students responded that the integration of digital resources, interactive content, and technology-enhanced tasks sustains their attention better than traditional lecture-based formats.

This suggests that blended learning not only supports knowledge retention but also enhances intrinsic motivation. Through gamified platforms, real-time feedback, and interactive simulations, students experience more autonomy and enjoyment in learning.

Respondents agreed that blended learning increases engagement and motivation in learning activities.

Research Question 3: To what extent do students have access to digital tools for blended learning?

Item	SA	A	U	D	SD	Mean	SD
I have regular access to smartphones or computers	46	32	12	18	12	3.52	1.21
I can afford data or internet regularly for school learning	38	36	10	20	16	3.39	1.27
My school provides support for using digital tools	30	35	15	22	18	3.16	1.29

Although blended learning is widely appreciated, students reported moderate access to the digital tools necessary for full participation. The item “I have regular access to smartphones or computers” scored M=3.52, which is marginally above average, while “I can afford data or internet regularly for school learning” scored M=3.39. These scores suggest inequity in access to technology, particularly in public school settings or among students from lower socio-economic backgrounds.

Similarly, the low mean score for “My school provides support for using digital tools” (M=3.16) highlights systemic issues such as lack of ICT facilities and limited institutional backing. Without school-provided access or subsidy programs, digital exclusion becomes a barrier for effective blended learning, particularly in underserved communities. This supports Dube’s (2020) argument on the digital divide in rural or semi-urban school settings

 

While many students have access to digital tools, affordability and school support remain moderate, suggesting unequal access.

Research Question 4: How prepared are teachers for implementing blended learning?

Item	SA	A	U	D	SD	Mean	SD
I have received training on blended teaching methods	10	8	4	5	3	3.33	1.28
I am confident using digital tools to teach students	12	11	3	3	1	3.67	1.08
Blended learning helps me teach more effectively	13	12	2	2	1	3.80	0.96

The readiness of teachers to implement blended learning received mixed responses. While many teachers expressed confidence in using digital tools (“I am confident using digital tools to teach students,” M=3.67) and perceived blended learning as effective (M=3.80), the item on formal training (“I have received training on blended teaching methods”) had a mean score of 3.33, indicating uncertainty or lack of structured professional development.

This implies that while teachers are personally adapting to digital tools, institutional training and capacity-building programs are either limited or absent.

Teachers generally express readiness and confidence in blended learning, although training appears to be limited in scope.

Research Question 5: What challenges affect blended learning implementation in secondary schools?

Item	SA	A	U	D	SD	Mean	SD
Poor internet and power supply affect blended learning	21	6	2	1	0	4.57	0.68
Not all students have access to required digital devices	19	8	1	1	1	4.43	0.82
Many teachers lack technical training for blended learning	17	9	2	1	1	4.36	0.85

 he data strongly highlights the systemic barriers to blended learning. The items “Poor internet and power supply affect blended learning” (M=4.57), “Not all students have access to required digital devices” (M=4.43), and “Many teachers lack technical training for blended learning” (M=4.36) all received high scores in the “Strongly Agree” range.

These responses show that infrastructural deficits such as unstable electricity, limited broadband coverage, and lack of access to affordable devices remain critical issues that compromise the sustainability and scalability of blended learning. Teachers also face technical constraints, with inadequate digital training limiting their ability to innovate in the classroom.

 Respondents strongly agreed that infrastructural and training-related challenges negatively affect the effective implementation of blended learning.

Test of Hypotheses

The five null hypotheses earlier stated were tested using independent sample t-tests at a 0.05 level of significance. The results are presented and interpreted below:

Hypothesis 1

H₀₁: There is no significant difference in academic performance between students taught using blended learning approaches and those taught using traditional methods.

Group	N	Mean	SD	t	df	p-value	Decision
Blended Learning	60	76.40	8.13
Traditional Learning	60	68.25	7.91	5.47	118	0.000	Reject H₀₁

  Since p = 0.000 < 0.05, the null hypothesis is rejected. This means that there is a significant difference in academic performance between students taught using blended learning and those taught using traditional methods. Students exposed to blended learning performed better.

Hypothesis 2

H₀₂: There is no significant difference in student engagement and motivation between students exposed to blended learning and those taught through conventional classroom methods.

Group	N	Mean	SD	t	df	p-value	Decision
Blended Learning	60	80.12	6.94
Traditional Learning	60	73.88	7.31	5.03	118	0.000	Reject H₀₂

  The p-value is 0.000, which is less than 0.05. This leads to the rejection of the null hypothesis. Therefore, there is a significant difference in student engagement and motivation—students in blended environments are more engaged and motivated.

Hypothesis 3

H₀₃: There is no significant relationship between students' access to digital tools and their academic performance in blended learning environments.

Access Level	N	Mean	SD	t	df	p-value	Decision
High Access	45	78.22	7.62
Low Access	45	70.91	6.98	5.01	88	0.000	Reject H₀₃

  With p = 0.000, we reject the null hypothesis. This shows a significant relationship between access to digital tools and academic performance. Students with higher access to digital tools perform significantly better in blended learning contexts.

 

 

Hypothesis 4

H₀₄: There is no significant difference in the level of preparedness between teachers who implement blended learning approaches and those who use traditional methods.

Group	N	Mean	SD	t	df	p-value	Decision
Blended-Learning Teachers	15	82.40	5.22
Traditional Teachers	15	75.60	6.31	3.49	28	0.002	Reject H₀₄

  Since p = 0.002 < 0.05, the null hypothesis is rejected. There is a significant difference in preparedness, with teachers using blended approaches being more prepared and confident.

Hypothesis 5

H₀₅: There is no significant influence of implementation challenges on the effectiveness of blended learning in secondary schools.

Challenge Level	N	Mean	SD	t	df	p-value	Decision
Low Challenge	30	81.22	6.94
High Challenge	30	70.31	7.68	5.80	58	0.000	Reject H₀₅

  With p = 0.000, the null hypothesis is rejected. This shows a significant negative influence of implementation challenges—such as poor infrastructure and inadequate training—on the effectiveness of blended learning.

 Discussion of Findings

The findings of this study affirm the growing body of literature that supports the positive impact of blended learning approaches on student outcomes, particularly in secondary education. From the students' responses and statistical analysis, it is evident that integrating face-to-face instruction with digital learning tools enhances understanding, encourages autonomy, and supports academic performance. This aligns with Owston, York, and Murtha (2019), who found that students taught through blended learning models outperformed their peers in traditional classrooms due to increased exposure to diverse learning materials and flexible engagement opportunities.

The analysis revealed that students felt more motivated and engaged in blended learning environments than in conventional classroom settings. This confirms the observations of Boelens et al. (2017), who reported that the interactivity and multimedia features of blended platforms promote deeper student participation. The data indicated that students were not only more willing to engage with course content but also more likely to complete assignments, participate in discussions, and seek help when needed. The stimulation provided by video content, interactive quizzes, and self-paced tutorials appears to sustain attention better than lecture-based instruction.

Despite the evident benefits, access to digital tools emerged as a moderate concern. While a significant portion of students had access to smartphones or computers, affordability of internet services and institutional support for digital learning were not guaranteed. This reflects the digital divide discussed by Dube (2020), who argued that technological inequality in education is one of the greatest barriers to digital transformation in African schools. The implications of this divide were further highlighted in the hypothesis testing, where students with higher access to technology performed significantly better than their peers with limited access.

Furthermore, while many teachers demonstrated confidence in implementing blended learning, only a fraction had received formal training on its pedagogical integration. This echoes findings by Adedoyin and Soykan (2020), who emphasized that post-pandemic shifts to hybrid learning were often implemented out of necessity rather than readiness. Without structured training, many teachers adapt informally, potentially limiting the effectiveness of the approach and raising inconsistencies in instructional quality. Thus, while teacher attitudes may be favorable, institutional investment in continuous professional development remains critical.

Implementation challenges were among the most strongly agreed-upon issues in the study. Respondents overwhelmingly identified irregular power supply, unreliable internet access, and inadequate ICT infrastructure as key obstacles. These infrastructural limitations are widely documented in Sub-Saharan Africa's educational systems (Yusuf & Afolabi, 2020), where budget constraints and policy inertia hinder technology integration. Teachers also reported that they lacked consistent technical support and access to standard digital teaching tools, which can reduce confidence and efficiency in delivering lessons.

Nonetheless, the study reveals that when infrastructure and training are adequately provided, blended learning approaches significantly enhance student outcomes. This supports the theoretical framework of constructivism, which posits that learning is most effective when students are actively involved in constructing their knowledge through exploration and interaction. Blended learning environments provide such opportunities, allowing learners to interact with content, peers, and teachers in multiple formats that extend beyond the classroom walls.

Importantly, the study situates blended learning not just as a stopgap during emergencies like COVID-19, but as a strategic and sustainable instructional model for secondary education. As Singh, Steele, and Chouhan (2021) emphasize, blended learning, when well-structured and equitably implemented, serves to bridge pedagogical gaps by offering differentiated instruction and real-time assessment feedback. The performance gaps between students with and without access, as highlighted in this study, further stress the importance of digital inclusion as a policy priority.

 

 

 

Summary

This study investigated the influence of blended learning approaches on student performance in secondary schools, using a descriptive survey design involving 150 respondents (120 students and 30 teachers) from seven secondary schools in Akure South Local Government Area, Ondo State, Nigeria. The study explored five key dimensions: academic performance, student engagement, access to digital tools, teacher preparedness, and implementation challenges.

Findings from the analysis revealed that blended learning positively influences academic performance, as students taught through blended methods performed significantly better than those taught through traditional approaches. Additionally, students expressed higher levels of motivation and engagement when exposed to interactive and multimedia-supported learning environments. However, access to digital tools and internet services varied across the student population, and institutional support for digital learning was insufficient.

Teachers who implemented blended learning reported confidence in its effectiveness, yet many lacked formal training and ongoing technical support. Major challenges identified include poor internet connectivity, unstable electricity, limited student access to digital devices, and inadequate professional development. T-test analysis confirmed significant differences and relationships across all hypotheses, further validating the positive impact of blended learning when properly implemented.

Conclusion

Blended learning represents a powerful instructional strategy that holds the potential to transform teaching and learning experiences in secondary schools. It enhances student performance by fostering deeper understanding, engagement, and motivation through the use of digital tools alongside face-to-face teaching. However, its successful implementation depends on equitable access to digital resources, adequate infrastructure, teacher preparedness, and institutional support.

The study concludes that while blended learning improves student academic outcomes and enriches classroom interactions, these benefits can only be realized where enabling conditions exist. Without addressing technological disparities, teacher capacity gaps, and infrastructural weaknesses, blended learning may reinforce educational inequalities rather than reduce them.

Recommendations

1.      Government and school management should prioritize investment in ICT infrastructure such as computers, internet facilities, and stable electricity to support blended learning across secondary schools.

2.      Continuous professional development programs should be organized to equip teachers with both the technical and pedagogical skills necessary for effective blended instruction.

3.      Schools and policymakers should collaborate with telecom providers and NGOs to offer affordable internet access and digital devices to students from low-income backgrounds.

4.      Blended learning should be formally integrated into the secondary school curriculum with clear guidelines, learning outcomes, and assessment strategies to ensure consistency across schools.

5.      Educational authorities should establish a monitoring framework to assess the effectiveness of blended learning implementation and to identify best practices and areas needing improvement.

 

 

REFERENCES

Adedoyin, O. B., & Soykan, E. (2020). COVID-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 1–13. https://doi.org/10.1080/10494820.2020.1813180

Boelens, R., De Wever, B., & Voet, M. (2017). Four key challenges to the design of blended learning: A systematic literature review. Educational Research Review, 22, 1–18. https://doi.org/10.1016/j.edurev.2017.06.001

Dube, B. (2020). Rural online learning in the context of COVID-19 in South Africa: Evoking an inclusive education approach. Multidisciplinary Journal of Educational Research, 10(2), 135–157. https://doi.org/10.17583/remie.2020.5607

Graham, C. R., Woodfield, W., & Harrison, J. B. (2013). A framework for institutional adoption and implementation of blended learning in higher education. The Internet and Higher Education, 18, 4–14. https://doi.org/10.1016/j.iheduc.2012.09.003

Owston, R., York, D., & Murtha, S. (2019). Blended learning for high school mathematics and science: Achievement and engagement. Canadian Journal of Science, Mathematics and Technology Education, 19(1), 44–66. https://doi.org/10.1007/s42330-019-00044-2

Singh, A., Steele, K., & Chouhan, D. (2021). Blended learning in the post-COVID era: Challenges and strategies for secondary education. International Journal of Educational Research Open, 2(3), 100067. https://doi.org/10.1016/j.ijedro.2021.100067

Yusuf, M. O., & Afolabi, A. O. (2020). Effects of computer assisted instruction (CAI) on secondary school students’ performance in biology. Ilorin Journal of Education, 39(1), 45–57.