Industry 4.0 Competencies among Lecturers of Federal College of Education, Yola: Challenges and Strategic Recommendations


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 :

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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.

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