Authors :
Anthony Johnson Ukwumonu; Yahya Ahmed; Mohammed Abubakar Balde; Shitu Mohammed
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/2j9acvwm
Scribd :
https://tinyurl.com/52kbkzer
DOI :
https://doi.org/10.5281/zenodo.14613813
Abstract :
This study explores the state of infrastructure
supporting Industry 4.0 competencies among lecturers of
the Federal College of Education (FCE), Yola, with focus
on understanding the adequacy of resources, the
proficiency of lecturers in emerging technologies, and
their disposition towards integrating artificial
intelligence (AI) into pedagogical practices. The study
adopts a mixed-methods approach, leveraging survey
data from 240 respondents and qualitative insights
analyzed using NVivo to identify recurring themes and
patterns. Findings reveal substantial infrastructural
deficiencies, including inadequate access to advanced
technologies, inconsistent power supply, and limited
connectivity, which hinder the effective integration of
Industry 4.0 tools into teaching. Furthermore, lecturers
exhibit varied levels of proficiency in critical
competencies such as data analytics, automation, and
Internet of Things (IoT) technologies, indicating a need
for targeted capacity-building initiatives. Despite these
challenges, the study highlights a broadly positive
attitude among lecturers towards adopting AI in
teaching, with many expressing enthusiasms about its
potential to enhance instructional delivery and learning
outcomes. The study underscores the need for a
comprehensive strategy to address these gaps, including
investments in infrastructure, continuous professional
development, and institutional policy reforms to foster a
culture of technological innovation. Recommendations
are provided to guide policymakers, administrators, and
stakeholders in creating an enabling environment for
Industry 4.0 education in Nigeria's higher learning
institutions. By presenting useful insights for furthering
digital transformation in developing nations, this study
adds to the expanding corpus of work on the application
of Industry 4.0 in educational settings.
Keywords :
Artificial Intelligence, Educational Infrastructure, Lecturer Proficiency and Digital Transformation in Education.
References :
- Valeyeva, N.S.; Kupriyanov, R.V.; Valeeva, E.; Kraysman, N.V. Influence of the Fourth Industrial Revolution (Industry 4.0) on the System of the Engineering Education. In The Impact of the 4th Industrial Revolution on Engineering Education; Auer, M.E., Hortsch, H., Sethakul, P., Eds.; Springer International Publishing: New York, NY, USA, 2020; pp. 316–325. [Google Scholar] [CrossRef]
- Zohaib, H. S, & Rasang, B. (2024). Rethinking Pedagogy in the Digital Age Analyzing the Effectiveness of Elearning Strategy in Higher Education. Journal of Information System and Technology Research Vol. 3 Issue 2. Available @ https://journal.aira.or.id/index.php/jistr/article/view/772
- Ghazi, S. H. (2023) Challenges of Technology Integration in Teacher Education Programmes in Bangladashi Tertiary Institutions. Nepal Journals Online (NepJOL) vol. 8 No. 1-2
- Siahaan J. A., Siregar, S. S. & Pane, R. J. (2024) Literature Study on the Role of Technology in Education Edumaniora : Jurnal Pendidikan dan Humaniora Volume 03 No. 01 2024 E-ISSN : 2828-0172 Homepage : https://jurnal.cdfpublisher.org/index.php/edumaniora/index
- Burton, S. L. (2024). Advancements in AI-Driven Education: Transforming Learning and Training with Intelligent Technologies. World Journal of Business Research, 4(1). Retrieved from https://commons.erau.edu/publication/2267
- John, K., & Tater, B. (2024). Digital Transformation of Higher Education for Sustainable Impact ASHA PARAS INTERNATIONAL MULTIDISCIPLINARY RESEARCH JOURNAL (Open Access, Double Blind Peer-reviewed, Bi-Annual (Online) July-December, 2024, Volume: I, Issue-II) ISSN: 2584-2412 website: www.apimrj.com, Email: [email protected]
- Ahmad, S., Hussain, M. I., Mustaqeem M. I., & Kushwaha, R. K. (2024). Transforming Education: The Power of Educational Technology. BlueRose Publishers. India
- Oluwatoyin, A. A., Bongani G, Tinashe C. M. (2024) Leveraging artificial intelligence to enhance teaching and learning in higher education: Promoting quality education and critical engagement. Journal of Pedagogical Sociology and Psychology, 2025 - Volume 7 Issue 1, pp. 54-69 https://doi.org/10.33902/jpsp.202528400
- Titus, H. T., Kundwal, M. E., Anthony, J. U., & Abubakar, M. I.(2024) Appraisal of E-Learning Readiness of Academia in Nigerian Colleges: A Study of Federal College of Education, Yola. International Journal of Innovative Science and Research Technology. Vol. 9 Issue 2, February – 2024.
This study explores the state of infrastructure
supporting Industry 4.0 competencies among lecturers of
the Federal College of Education (FCE), Yola, with focus
on understanding the adequacy of resources, the
proficiency of lecturers in emerging technologies, and
their disposition towards integrating artificial
intelligence (AI) into pedagogical practices. The study
adopts a mixed-methods approach, leveraging survey
data from 240 respondents and qualitative insights
analyzed using NVivo to identify recurring themes and
patterns. Findings reveal substantial infrastructural
deficiencies, including inadequate access to advanced
technologies, inconsistent power supply, and limited
connectivity, which hinder the effective integration of
Industry 4.0 tools into teaching. Furthermore, lecturers
exhibit varied levels of proficiency in critical
competencies such as data analytics, automation, and
Internet of Things (IoT) technologies, indicating a need
for targeted capacity-building initiatives. Despite these
challenges, the study highlights a broadly positive
attitude among lecturers towards adopting AI in
teaching, with many expressing enthusiasms about its
potential to enhance instructional delivery and learning
outcomes. The study underscores the need for a
comprehensive strategy to address these gaps, including
investments in infrastructure, continuous professional
development, and institutional policy reforms to foster a
culture of technological innovation. Recommendations
are provided to guide policymakers, administrators, and
stakeholders in creating an enabling environment for
Industry 4.0 education in Nigeria's higher learning
institutions. By presenting useful insights for furthering
digital transformation in developing nations, this study
adds to the expanding corpus of work on the application
of Industry 4.0 in educational settings.
Keywords :
Artificial Intelligence, Educational Infrastructure, Lecturer Proficiency and Digital Transformation in Education.