INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

Exploring the Impact of Artificial Intelligence (AI) and Digital

Connectivity on Educational Management in Nigerian Polytechnics.

DOI: https://doi.org/10.51583/IJLTEMAS.2026.150600137

Received: 27 June 2026; Accepted: 02 July 2026; Published: 17 July 2026

ABSTRACT

The integration of Artificial Intelligence (AI) and digital connectivity is driving a significant shift in education

systems worldwide, offering unprecedented opportunities to improve efficiency, effectiveness, and decision-

making processes, particularly in areas such as planning, administration, and student engagement. In Nigeria,

the polytechnic education sector is at a critical juncture, with digital transformation presenting significant

opportunities to enhance educational management practices. This study examines how AI tools and digital

connectivity frameworks can improve administrative efficiency, data-driven decision-making, student support,

and teaching methods within Nigerian polytechnics. Using a mixed-methods approach, the research combines

suggestions for developing smart, connected, and effective educational management systems in Nigeria’s

polytechnic sector.

Keywords: Artificial Intelligence, Digital Connectivity, Transformation, Data, Likert Scale, ICT, Survey, Data

analysis

Artificial Intelligence refers to the ability of machines to replicate human cognitive functions such as learning,

problem-solving, and decision-making (Stuart & Peter, 2020). Digital connectivity, including internet

infrastructure, cloud platforms, and mobile integration, forms the foundation of smart educational systems. It

enables synchronous and asynchronous communication, real-time data access, and collaborative decision-

making (Sarah Guri-Rosenblit, 2011). The rise of these technologies has significantly transformed global

progress, integrating AI and digital tools offers a unique opportunity for modernization and reform. Nigerian

polytechnics, whose main goal is to train technically skilled personnel for national development, face increasing

pressure to improve quality, responsiveness, and accountability. However, traditional management approaches,

characterized by paper-based systems, slow reporting, and disjointed communication, while they served their

purpose in the past, are no longer sufficient to meet the demands of modern education, which require speed,

efficiency, collaboration, and flexibility. Transitioning to more digital, integrated systems is crucial for fostering

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

better learning environments and administrative workflows in 21st-century education (NEA, 2020; Vijayarani,

2024; Juliana, Victoria, & Bibian, 2024). Consequently, there is a growing trend to use AI technologies such as

predictive analytics, intelligent automation, machine learning, and chatbots, along with broadband internet, cloud

computing, and mobile platforms, to enhance operations and support better decision-making across

and deliver student services. More importantly, they foster greater transparency, inclusiveness, and efficiency

within institutional management. Despite this potential, the adoption and integration of AI-driven and digitally

connected management systems in Nigerian polytechnics remain limited and fragmented. Challenges such as

inadequate digital infrastructure, low AI literacy, policy gaps, and resistance to change serve as significant

barriers (JOYCE et al., 2025). Understanding how these technologies are perceived and used across polytechnic

institutions is vital for designing sustainable solutions and strengthening institutional capacity for digital

transformation. This study, therefore, explores the impact of Artificial Intelligence and digital connectivity on

educational management in Nigerian polytechnics by analyzing the experiences of educators, administrators,

and students. It evaluates how widely these technologies are being adopted, the challenges faced, and their

perceived effectiveness in improving administrative processes, accountability, and decision-making.

the key infrastructure for seamless access to digital platforms, real-time information exchange, and synchronized

systems in educational institutions. For Nigerian polytechnic institutions—charged with producing industry-

ready, technically skilled graduates—this digital transformation is not just preferable but vital to meet global

for functions such as strategic planning, human resource deployment, student tracking, and financial operations.

(OECD, 2021) reports that intelligent algorithms can identify patterns in student behavior, streamline

administrative processes, and support strategic decision-making through predictive modeling.

With integrated digital systems, educational institutions can centralize information across departments,

improving coordination and reducing redundancies. This technological synergy promotes transparency and data-

informed leadership. (Luciano, et al., 2018) emphasizes that AI-supported management systems enable

Ayodele, 2021; Ahmad, Salihu, Aminu, Abubakar, & Aliyu, 2024). In Nigeria, some polytechnics are already

beginning to adopt Learning Management Systems (LMS), biometric attendance systems, and computer-based

testing platforms, laying the groundwork for wider AI integration (NBTE, n.d., Young, 2025). (UNESCO, 2022;

UNESCO, Digital Education, 2024) states that institutions with integrated AI systems and reliable digital

infrastructure are better positioned to adopt inclusive, adaptable, and evidence-based practices. This is especially

relevant for Nigerian polytechnics, where streamlined administration could support improved curriculum

planning, real-time academic performance monitoring, and more efficient technical training. However, systemic

challenges often limit the advantages of AI and digital connectivity. (Lawretta, Iniyomu, & Nwachukwu, 2023)

notes that technological adoption in Nigerian tertiary institutions is constrained by weak leadership commitment,

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

underinvestment in ICT infrastructure, and insufficient staff capacity. Additionally, the absence of tailored

digital policies, particularly in polytechnics, hampers long-term integration. Ethical issues such as data

protection, algorithmic fairness, and the digital divide also need attention (Luciano et al., 2018; Gbolahan, 2020).

The widespread use of standalone systems in many Nigerian polytechnics reflects a fragmented approach to

institutional management, especially within polytechnic settings. This study aims to fill that gap by empirically

examining the influence of AI and digital connectivity on institutional planning, resource management, and

administrative effectiveness in Nigerian polytechnics through responses collected from a structured Likert-scale

survey administered to key stakeholders. The Likert scale was used in this study because it is a well-known

psychometric tool designed (Ankur, Saket, Satish, & Dinesh, 2015) to gather subjective opinions, attitudes, and

perceptions systematically. It lets respondents show varying levels of agreement or disagreement with specific

statements, helping to measure qualitative concepts such as attitudes toward AI integration, perceived benefits,

and institutional readiness. By offering a structured response format, the Likert scale improves the reliability and

comparability of responses, making it especially useful for educational research aimed at understanding

stakeholders’ views across different institutions.

Research Design

attitudes regarding the adoption and impact of Artificial Intelligence (AI) and digital connectivity in educational

management within Nigerian polytechnics. Furthermore, it facilitates the collection of quantifiable data through

structured instruments, specifically Likert scale-based questionnaires, enabling the identification of trends and

the evaluation of institutional responses to digital transformation initiatives.

implementation of digital technologies within their institutions. A total of 200 respondents were selected from

five polytechnics in Nigeria's South-West geopolitical zone, including two each from Federal and state

polytechnics, and one from a private polytechnic, using a combination of purposive and stratified sampling

methods. Purposive sampling ensured the inclusion of individuals with relevant expertise and administrative

roles, thereby enhancing the validity and relevance of the data. Stratified sampling divided the population into

groups based on roles, departments, and institutional ownership (such as federal or state polytechnics).

Proportional sampling from each group was then conducted to ensure balanced representation and reduce

sampling bias.

Research Instrument

The primary tool for data collection was a structured questionnaire with closed-ended questions, designed on a

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

ensure content validity, the instrument was reviewed by subject matter experts in educational technology and

administration. Additionally, a pilot study with 15 participants was conducted to evaluate the clarity, reliability,

and internal consistency of the questions, confirming the suitability of the instrument for the larger study

population.

Questionnaires were distributed both physically and electronically to broaden geographic coverage and

maximize response rates. The data collection process lasted four weeks and included ongoing follow-up

measures to ensure responses were complete, accurate, and reliable. Of the 220 questionnaires distributed, 200

were properly completed and deemed valid for analysis, resulting in a response rate of 91%. The collected data

were analyzed in Excel using descriptive statistics, including frequency counts, percentages, means, and standard

deviations. These tools are appropriate for interpreting Likert scale responses, as they effectively summarize

respondent perceptions and reveal emerging patterns in the use and application of AI and digital technologies in

educational management. The findings were presented using tables and graphical visuals to improve clarity and

interpretability.

(see Appendix). Data were collected from 200 respondents and analyzed using descriptive statistics to assess the

central tendency and variability of their responses. Specifically, the mean and standard deviation for each item

were computed to quantify the general direction and consistency of opinions, while frequency distributions

provided insights into the spread of individual responses. Table 1 presents a summary of the computed mean

scores, standard deviations, and corresponding percentage distributions derived from the frequency counts of

responses. Table 2 presents the Likert frequency table, providing a structured breakdown of respondents’ levels

of agreement across all 10 items related to AI and digital integration in educational management. The frequency

distribution highlighted in Table 2 reveals key trends in institutional experiences, ranging from perceived

improvements in communication and service delivery to identified gaps in infrastructure and staff training.

Furthermore, Figures 1 and 2 graphically illustrate the response trends, offering a visual representation of the

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

service provision, and management effectiveness. These results align with earlier national and global research

highlighting the transformative impact of AI and digital technologies on contemporary educational

administration. Of the ten statements assessed, the statement "Digital tools have enhanced students' access to

administrative services" received the highest mean score (Mean = 4.19, SD = 0.97). This result shows strong

digital technologies streamline administrative processes, boost institutional productivity, and improve the quality

of educational services. Similarly, one of the highest levels of agreement was recorded for the statement "Digital

connectivity has improved communication among staff and students" (Mean = 4.04, SD = 1.02), with roughly

77% of respondents choosing either Agree or Strongly Agree. This result underscores how digital

communication technologies are now essential to institutional operations, enabling administrators, instructors,

and students to collaborate, coordinate, and disseminate information promptly. The outcome is consistent with

reports from the OECD and UNESCO, which found that good digital connectivity promotes evidence-based

educational management, enhances organizational communication, and strengthens institutional collaboration.

Respondents also expressed positive opinions about AI's practical contributions to educational administration.

They acknowledged AI as a useful instrument for increasing operational efficiency, as evidenced by the

(Mean = 3.53). These results indicate an increasing recognition of AI's analytical abilities in aiding institutional

governance, performance assessment, and evidence-driven planning. While respondents recognized these

advantages, the moderate degree of consensus suggests that predictive analytics and smart management systems

are still in the initial phases of adoption in numerous Nigerian polytechnics. This finding aligns with global

literature that identifies predictive analytics as a developing strength of AI in the management of higher

education, while stressing that effective implementation relies on the institution's digital maturity and data

governance.

Despite these encouraging findings, the research also uncovered significant gaps in institutional readiness for AI

integration. The statements "My institution has the infrastructure necessary for AI deployment" (Mean = 3.16,

restricted digital skills as significant obstacles to digital transformation in higher education institutions. The

qualitative results obtained from Section D of the questionnaire further reinforce these quantitative findings.

Most respondents cited insufficient ICT infrastructure (78%), weak internet connectivity (72%), limited funding

(65%), and a lack of staff training (60%) as the main obstacles to AI integration. Other issues involved opposition

to technological advancements and the lack of AI policies within the institution. These results closely align with

earlier Nigerian studies, suggesting that infrastructure shortcomings, insufficient investment, poor policy

execution, and restricted human resources persist in hindering digital transformation in higher education

institutions. The alignment between the current results and previous studies indicates that while awareness of AI

has significantly grown, its practical application is still limited by ongoing systemic obstacles. In addition to

pinpointing implementation obstacles, participants acknowledged various significant advantages of AI

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

adopting AI. Conversely, some emphasized better teaching and learning, improved student data analysis, and

immediate monitoring and feedback. Participants also suggested enhancing investment in ICT infrastructure,

ongoing staff training, the creation of thorough institutional AI policies, improved partnerships with technology

companies, and ongoing financial support for digital transformation projects. These suggestions align with

demonstrates that AI has substantial potential to strengthen institutional governance and administrative

performance, provided that adequate infrastructure, sustainable funding, supportive policies, and competent

human resources are available. Overall, the findings strongly corroborate existing national and international

evidence regarding the transformative potential of Artificial Intelligence and digital connectivity in higher

education management. However, the study also confirms that the realization of these benefits within Nigerian

polytechnics remains constrained by infrastructural deficiencies, financial limitations, inadequate staff capacity,

and policy gaps. Consequently, although respondents expressed considerable optimism regarding AI adoption,

achieving meaningful and sustainable digital transformation will require coordinated policy reforms, sustained

investment in ICT infrastructure, continuous professional development, and comprehensive institutional

strategies that support the effective integration of AI into educational management.

infrastructure, poor internet connectivity, limited funding, insufficient staff training, resistance to technological

change, and weak institutional policy frameworks. The study concludes that while AI has significant potential

to transform educational management, its successful adoption depends on sustained investment in digital

seeking to promote the effective integration of AI and digital connectivity within the Nigerian polytechnic

system.

Based on the findings of this study, Nigerian polytechnics should prioritize strategic investment in ICT

infrastructure, reliable internet connectivity, and AI-enabled digital platforms to support effective educational

management. Institutions should also implement continuous staff training and capacity-building programmes to

enhance digital competencies and facilitate the effective utilization of AI technologies. Furthermore,

comprehensive institutional and national policies should be developed to provide clear guidelines for the

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

1. Adebiyi, K. (2025). News Agency of Nigeria. Retrieved from

nannews.ng:https://nannews.ng/2025/07/08/how-ai-is-redefining-learning-and-education

2. Adebunmi, Y. A., & Ayodele, A. O. (2021). Teaching and Assessment through online platforms during

the COVID-19 pandemic: benefits and challenges. Journal of Education and e-Learning Research, 8(4),

408-415. Retrieved from https://asianonlinejournals.com/index.php/JEELR/article/view/3559/2265

3. Adedoyin, O. B., & Emrah, S. (2020). COVID-19 pandemic and online learning: the challenges and

opportunities. Journal of Interactive Learning Environments, 31(2), 863-875.

doi:https://doi.org/10.1080/10494820.2020.1813180

4. Ahmad, A. I., Salihu, G. A., Aminu, S. Y., Abubakar, S. Y., & Aliyu, I. M. (2024). Using Educational

Technologies to Enhance the Process of Learning at Nigerian Polytechnics. International Journal of

6. Ankur, J., Saket, K., Satish, C., & Dinesh, K. P. (2015). Likert Scale: Explored and Explained. British

Journal of Applied Science & Technology, 7(4), 396-403. doi:10.9734/BJAST/2015/14975

7. Bank, W. (2025). World Bank Group, Digital overview. Retrieved from

www.worldbank.org/en/topic/digital/overview: https://www.worldbank.org

8. Clive Asuai, G. G., & Ishiekwene, E. D. (2025). The Impact Of Emerging Technologies On Learning

And Administrative Transformation Among Staff And Students In Nigerian Polytechnics: Challenges

And Opportunities. 7th Biennial Conference of ASUP Zone D, (pp. 1359 - 1367). Akwa Ibom.

Retrieved from https://www.researchgate.net/publication/388799227_

9. Gbolahan, O. (2020). Cultural expression using digital media by students. Journal of African Media

Studies, 12(9), 351 -364. doi: https://doi.org/10.1386/jams_00029_1

12. ITEdgeNews. (2025). ITEdgeNews. Retrieved from itedgenews.Africa:

https://www.itedgenews.africa/why-ai-education-should-be-integrated-into-nigerias-school-

curriculum

13. Joyce, I. O., anthonia, c. I.., blessing, O. I.., joy, I. O., & ejom, s. I. (2025). Prospects and challenges

of AI integration into Nigerian educational systems. International journal of library science and

educational research, 7. Doi:https://doi.org/10.70382/caijlser.v7i8.017

14. Juliana, N. O., Victoria, C. M., & Bibian, N. N. (2024). Application Of AI in Educational Leadership

Research And. Journal of Association of Educational Management and Policy Practitioners, 4(1), 267

- 279. Retrieved from https://journals.aemapp.org/

15. KPMG. (2020). Global CEO Outlook 2020. Colombo: KPMG. Retrieved from

ence_on_Institutional_Leadership_and_Capacity_Building_in_Africa

17. Luciano, F., Josh, C., Monica, B., Raja, C., Patrice, C., Virginia, D.,... Effy, V. (2018). AI4People—

An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations.

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

Journal for Artificial Intelligence, Philosophy and Cognitive Science, 28, 689 - 707. Retrieved from

https://link.springer.com/article/10.1007/s11023-018-9482-5

18. NBTE. (n.d.). National Board for Technical Education. Retrieved from web.nbte.gov.ng/odfel

guidelines: https://web.nbte.gov.ng/odfel%20guidelines

21. Sarah Guri-Rosenblit, B. G. (2011). E-Learning: Confusing Terminology, Research Gaps and Inherent

Challenges. International Journal of E-learning and Distance Education, 25(1). Retrieved from

https://www.ijede.ca/index.php/jde/article/view/729

22. Stuart, R., & Peter, N. (2020). Artificial Intelligence: A Modern Approach (Pearson Series in Artificial

Intelligence (4th ed.). Harlow: Pearson.

23. TechTrends. (2025). TechTrends Africa. Retrieved from https://techtrends.africa:

https://techtrends.africa/why-ai-education-should-be-integrated-into-nigerias-school-curriculum

24. Tom, O., Winston, O., Margaret, G., & Alfred, O. (2024). Application of Artificial Intelligence in

Education in Africa. Nairobi: ACTS Press. Retrieved from https://acts-net.org

25. UNESCO. (2021). Artificial Intelligence and education: guidance for policy-makers. Paris: UNESCO.

28. Vijayarani, D. K. (2024). Role of Innovative Pedagogy in Teaching. In R. K. Abhiram Kushwaha,

Transforming Learning: The Power of Educational Technology (pp. 251 - 258). New Delhi: Bluerose

Publishers. Retrieved from

https://www.researchgate.net/publication/381408076_Transforming_Learning_The_Power_of_Educa

tional_Technology

29. Young, D. (2025). NBTE Unveils ODFeL Standards to Revolutionize Flexible Learning in Nigerian

Polytechnics. Retrieved from www.youngdestinya.ng: https://youngdestinya.ng/nbte-unveils-odfel-

standards-to-revolutionize-flexible-learning-in-nigerian-polytechnics

30. Zawacki Richter, O., Victoria I., M., Melissa, B., & Franziska, G. (2019). Systematic review of research

on artificial intelligence applications in higher education. International Journal of Educational