INDUSTRIAL TECHNOLOGY EDUCATION RESEARCH JOURNAL
The aim of Industrial Technology Education Research Journal {ITERJ} as a double blind peer review, open access and technology journal is to publish scholarly and well-researched empirical articles that test, analyze, extend, develop or builds and research any forms of technology and contributes to industrial technology education. All empirical methods including, but not limited to, qualitative, quantitative, field, laboratory, meta-analytic, and mixed methods are welcome. To be published in ITERJ, the research must make strong empirical and theoretical contributions and the manuscript should highlight the relevance of those contributions to technology practice and development. More...
Emotional Intelligence as Predictor of Commitment and Job Satisfaction among Welding and Fabrication Teachers in Technical Colleges in North Central, Nigeria
The study was conducted to investigate emotional intelligence as predictor of commitment and job satisfaction among welding and fabrication teachers in technical colleges in North Central, Nigeria. Two research questions guided the study while one hypothesis formulated was tested at 0.05 level of significance. This study adopted correlation design. The study area comprised of six states and Federal capital territory of North-central states, Nigeria. The population for this study comprised of 177 Welding and Fabrication Teachers in Government Technical Colleges offering welding and Fabrication engineering craft practice. There was no sampling because the entire population was manageable. The instrument used for data collection was a structured questionnaire. The instrument for this study was face validated by three experts in the Department of Industrial Technical Education. The Cronbach alpha reliability method was used to establish the reliability of the instrument, and 0.84 reliability coefficient value was obtained which indicated that the instrument was reliable. The copies of the instrument were administered with the help of three research assistants. The two research questions were answered using Pearson product moment correlation method. The findings show that a positive relationship existed between emotional intelligence, job satisfaction and commitment of teachers in technical Colleges. The finding on hypothesis revealed that emotional intelligence did not significantly predicted job satisfaction of among welding and fabrication technical college teachers in North Central, Nigeria. The study recommended that: (i) Government and technical college administrators should employ trainers to organize seminar and workshop for welding and fabrication technical College teachers in order to improve their commitment and job satisfaction (ii) ministry of education should send welding and fabrication teachers for in-service training in order to develop their teaching skills.
Emotional Intelligence, Commitment, Job Satisfaction, Welding and Fabrication
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Emerging Workshop Competencies Needed for Establishing Automobile Enterprises by Motor Vehicle Mechanics in Fuel and Ignition Systems Maintenance in Bayelsa State, Nigeria
This study aimed to determine the emerging workshop competencies needed for the establishment of Automobile enterprise by motor vehicle mechanics trade in fuel and ignition maintenance in Yenagoa, Bayelsa State, Nigeria. The research was guided by two purposes, two research questions, and two null hypotheses. A descriptive research design was adopted, with a population of 154 respondents, comprising 140 master craftsmen (motor vehicle mechanics) selected using a random sampling technique and 14 automobile industrial technicians. Data were collected using a structured questionnaire titled Automobile Enterprises Emerging Workshop Competencies Questionnaire (AEEWCQ), adapted and validated by three experts. The reliability coefficient of the instrument was 0.85, established using Cronbach’s Alpha. Data analysis was conducted using SPSS Version 23, while mean and standard deviation were used to answered the research questions and z-test statistics used to test hypotheses at a 0.05 significance level. Findings indicated that all identified competencies were considered highly essential for establishing viable automobile workshops in Yenagoa. The study recommends that the National Automotive Design and Development Council (NADDC), working with the Federal Ministry of Labour and Productivity, integrate these competencies into mechanic training programs to build current capacity for modern vehicles. Likewise, since many mechanics were trained through technical colleges, the National Board for Technical Education (NBTE) should embed these competencies into curricula to improve graduates’ readiness for entrepreneurship and modern vehicle servicing.
Automobile Enterprise, Motor Vehicle Mechanic, Emerging Workshop Competencies, Maintenance,
Ethical Challenges for Integrating Artificial Intelligence (AI) into Technical and Vocational Education and Training (TVET) Assessment and Classroom Setting
This study investigates the ethical challenges of integrating Artificial Intelligence (AI) into Technical and Vocational Education and Training (TVET) for the enhancement of assessment and classroom settings.The general purpose ofthis study is to identify and analyze the ethical challenges faced by TVET lecturers, Administrators and students with the use of AI in assessment practices and classroom setting with two specific purposes for the study. Two research questions and two hypotheses guided the study. A descriptive survey design was adopted for the study. The research was carried out in two TVET tertiary institutions in Rivers and Bayelsa States. The population of the research was 183 persons, comprising of 26 TVET educators (lecturers), 15 TVET Non-Academic staff and 142 TVET students. A stratified random sampling technique was employed to select the participants. A structured questionnaire was used to collect data for the study. The instrument was face validated by three experts from the Department of Industrial and Technical Education, University of Nigeria Nsukka. Cronbach Alpha was used to determine the reliability of the instrument which yielded a reliability coefficient of 0.78. The statistical tool used to analyze the data for the study were mean for the questions and ANOVA, which was used to test the hypotheses at 0.05 level of significance. Findings revealed that limited infrastructure, shortage of skilled personnel, and the high cost of AI tools were the major challenges to integrating AI in TVET, as indicated by high mean ratings. The study also found that AI tools are perceived as effective in enhancing student learning through personalized experiences and practical skill development, although their availability and full integration into the curriculum remain limited. The study concluded that while AI technologies are effectively enhancing assessment and classroom engagement in TVET, significant ethical and infrastructural challenges hinder their full integration. However, there was a shared perception among lecturers, administrators, and students regarding both the challenges and the effectiveness of AI tools, highlighting the need for inclusive strategies to support ethical and sustainable adoption of AI in vocational education.
Ethical challenges, Artificial Intelligence (AI), Technical and Vocational Education and Training (TVET), Assessment, Classroom Setting
Influence of Noise Exposure Level on Hearing Impairment and Overall Well-Being of Factory Workers in Ogun State
Excessive industrial noise in Nigerian factories endanger the hearing and overall health of industry workers. The usage of massive, loud machinery has raised worries about workers' physical and mental well-being, reducing productivity. Given the significance of worker well-being in maintaining optimal productivity levels, this study looked into the impact of noise exposure on hearing impairment and overall health among industrial workers in Ogun state. A descriptive survey design was used, using 200 randomly selected employees from eleven factories in the Ogun East Senatorial District. Data were gathered using three study tools: the Level of Noise Questionnaire (LNQ), the Influence of Noise Exposure Level on Hearing Impairment Questionnaire (NELHIQ), and the Effect of Noise on Health Questionnaire. The results were evaluated using mean scores, standard deviation, linear regression and multivariate analysis of variance. The results showed a moderate but significant positive association between noise exposure levels and hearing impairment (r =.585), implying that as noise exposure increases, so does hearing damage. Noise exposure significantly reduced worker well-being (β = -0.567, p <.001). However, demographic characteristics such as age and years of experience had no significant impact on noise-related well-being. The article concluded that prolonged exposure to industrial noise contributes to hearing impairment and other health problems such as headaches and speech interference. It recommends strict enforcement of noise control regulations, consistent use of protective devices, and regular hearing and health assessments to safeguard the health and productivity of factory workers.
Factory workers, Hearing Impairment, Noise exposure, Sound, Well-being
Availability and Utilization of Digital Technological Tools for Curriculum Instruction among Secondary Schools in Nsukka Urban of Enugu State
The study examined the availability and utilization of digital technological tools for curriculum instruction among secondary schools in Nsukka Urban of Enugu State. Two research questions guided the study. Descriptive survey design was adopted for the study. The study population was 102 basic science and technology teachers in 8 secondary schools in Nsukka Urban of Enugu State Nigeria. Due to the manageable size of the population, there was no sampling. The instrument for data collection was an adapted questionnaire titled: Availability and Utilization of digital technological tools for curriculum instruction (AUDTTCI). The instrument was validated by three experts from University of Nigeria Nsukka. In order to ensure the reliability of instrument, twenty basic science and technology teachers in Igbo Etiti Local Government Area of Enugu State who share similar characteristics with the study population but were not part of the population of study were trial tested. The data collected were computed using Cronbach Alpha technique. The internal consistency of the instrument was obtained as 0.86 which was considered appropriate for the study. The researchers administered the instrument directly to the respondents in the 8 secondary schools with the help of ten research assistants who were instructed on what is required. Only 98 copies of the questionnaire were collected immediately after completion which yielded a 96% return rate. The research data collected were analyzed using mean and standard deviation. Based on the findings, the studyconcluded that digital technological tools are very lowly available and also very lowly utilized for curriculum instruction in secondary schools in Nsukka Urban of Enugu State. The study recommended amongst others that Education funders in Nigeria such as the Federal and State ministry of Education should allocate adequate funds to facilitate acquisition and installation of necessary digital technological tools and facilities in secondary schools across the country.
Digital technologies, technological tools, curriculum, Instruction, secondary school education.
Industry Stakeholders' Activities in the Implementation of Artificial Intelligence for Content Creation in Small and Medium Scale Enterprises
This paper explores the multifaceted activities of industry stakeholders in implementing artificial intelligence (AI) for content creation within Small and Medium Scale Enterprises (SMEs).It examines the roles, impacts, and challenges faced by various stakeholders, including technology developers, content creators, SMEs, and regulatory bodies.By reviewing various studies and research findings,the paper analyzes how these stakeholders interact and influence the adoption and outcomes of AI-driven content creation in SMEs, considering ethical implications, economic factors, and the evolving digital landscape. The paper identified several AI tools for effective and efficient content creation as well as their uses. This analysis provides insights into maximizing the benefits of AI while mitigating potential risks in the content creation industry.
Artificial Intelligence (AI), Industry Stakeholders, Content creation, Small and Medium Scale Enterprises (SMEs), Technology Developers.
Emerging Techniques for Enhancing Skills Acquisition Among Electrical Installation and Maintenance Work Students of Technical Colleges throughSchool-IndustryPartnership in Kaduna State, Nigeria
This study investigated the Emerging Techniques fornhancing Skills Acquisition Among Electrical Installation and Maintenance Work (EIMW) Students of Technical Colleges Through School–Industry Partnership in Kaduna State, Nigeria. Two research questions with two corresponding null hypotheses guided the study. The study adopted a mixed-method research design specifically sequential exploratory. The targeted population of thisas 1,686. 10 respondentsere purposively selected and utilised for qualitative data collection, while the sample size of 313 determined using Krejcie and Morgan’s (1970) table was used for quantitative data collection. Interview prompts was utilised for qualitative data collection, while structured questionnaire title: Emerging Techniques for School-Industry Partnership Questionnaire (ETSIPQ) was used for quantitative data collection. The instruments were validated by three experts. The reliability of the instrument was established using Cronbach’s Alpha statistics and yielded overall reliability coefficient of 0.80, which was consider acceptable by the researcher for this study. The qualitative data was carried out through thematic analysis while quantitative data collected for research questions were analysed using mean and standard deviation. The null hypotheses were tested using Z-test and ANOVA at 0.05 level of significance. Findings revealed that: 9 items ( = 4.10) were found to be the technical college-based techniques, 9 items ( =4.20) were found to be the communication techniqueshat could enhance school-industry partnership towards skills acquisition among EIMW students in Kaduna state, Nigeria. The study further revealed that there was no significant difference (significant value ≥0.05) among the mean responses of the respondents. Based on the findings, the study recommended among others that: Government should enact a specific policy framework for Public-Private Partnerships (PPPs) in TVET to fund and manage modern EIMW training centres equipped with industry-standard tools. This could strengthen school-industry partnership towards enhancing skills acquisition among EIMW students for self-reliant, in Kaduna state and beyond.
Emerging Techniques; Skills Acquisition; Electrical Installation and Maintenance Work; School–Industry Partnership; technical College
Barriers to the Application of Artificial Intelligence Tools in Construction Project Monitoring and Supervision in Enugu State, Nigeria
The study identified the barriers to the application of artificial intelligence tools in construction project monitoring and supervision in Enugu State, Nigeria. The study adopted a descriptive survey. The study was carried out in the capital city of Enugu State, Nigeria. The population for the study was 250 which were made up of 95 building construction managers and 155 building construction site supervisors. The entire population was used as the sample size because it was manageable for the study. Structured questionnaire was developed by the researchers and used for data collection. The items were based on a rating scale Strongly Agree (SA), Agree (A), Undecided (UD), Disagree (D), Strongly Disagree (SD) with values of 5, 4, 3, 2, and 1 respectively. The instruments were face validated by three experts from the Department of Industrial Technical Education, University of Nigeria, Nsukka. The experts made some inputs that were integrated to improve the final copy of the instrument. Reliability of the study was determined using Cronbach Alpha. The instrument had a reliability coefficient of 0.78. Mean was used to answer the research questions while t-test will be used to test the hypothesis at a level of significance 0.05. The study recommends that it is necessary to arrange seminars, workshops, and conferences to enlighten these experts about the advantages of using AI tools on construction sites.
Building Construction, Artificial Intelligence, Project Monitoring, and Project Supervision
Enhancing Innovative Skills in Welding and Fabrication Trade in Technical Colleges in Abia State
The study investigated the instructional techniques for enhancing innovative skills in welding and fabrication trade in technical colleges in Abia State. Three research questions guided the study, and three null hypotheses were tested at 0.05 level of probability. Descriptive survey research design was adopted. The population is 42 welding and fabrication instructors from 7 government approved technical colleges in Abia State. There was no sampling because the population of respondents was small. The instruments used for data collection was a structured questionnaire captioned: Instructional Techniques for Enhancing Innovative Skills in Welding &Fabrication Trade. The instrument was subjected to face validation. The reliability coefficient of the instrument was 0.82. Data were analyzed using mean and standard deviation, while t-test statistics was used to test the hypotheses. The findings revealed no significant difference in the mean responses of the welding and fabrication instructors, on the instructional techniques for enhancing innovative skills in welding & fabrication trade.
Innovative Skills, Welding and Fabrication, Technical College
Gender Disparities in Stem Pathways: Investigating Student Interest in Robotics and Software Development in Secondary Schools in Nsukka
The study examined gender disparities in STEM education pathways, particularly in robotics and software development, across secondary schools in Nsukka. By analyzing institutional data, national competitions, and regional initiatives, it identifies systemic barriers hindering female participation in technology. Key findings revealed that only 22% of Nigeria’s engineering and technology graduates are women, with cultural stereotypes, infrastructure gaps, and teaching methods exacerbating these disparities. The University of Nigeria Secondary School, a leading institution with 1,000 students and advanced ICT resources, illustrates both opportunities and challenges in STEM education. While 58.46% of students support programming curriculum integration, 71.07% of schools lack sufficient computing infrastructure, disproportionately impacting girls. The research demonstrates that simulation-based teaching significantly boosts programming interest compared to traditional methods. Initiatives like the Avishay National Robotics Contest and “Project 10,000 Kids” highlight hands-on learning potential but show persistent gender imbalances. Cultural norms framing STEM as male-dominated, alongside economic barriers and workplace inequities, further restrict female engagement. Recommendations propose multi-tiered strategies: gender-inclusive curricula, infrastructure development, and policies promoting flexible work environments and anti-harassment measures. The study stressed the urgency of addressing these gaps to unlock Nigeria’s technological capabilities, advocating collaborations among schools, government bodies, and international organizations like UNESCO, which advances the STEM and Gender Advancement (SAGA) framework for progress monitoring. These insights enrich global conversations on equitable STEM education while offering practical guidance for Nigerian policymakers and educators
Robotics, Software Development, STEM, Gender
Appraisal of Risk Management Approaches in Construction Businesses: Implications for Multidisciplinary Construction Teams in Enugu State
Risk management is a systematic means of recognizing, evaluating and handling danger in order to provide required information to decide on appropriate risk factor reduction strategies for effective job performance. This study appraised the risk management approaches in construction businesses, with a focus on multidisciplinary construction teams. A survey of90 construction business managers was conducted, with 78 construction professionals (28 engineers, 28 builders, 12 architects, and 10 quantity surveyors) responded, providing relevant data. The data collected were presented in tables and analyzed using descriptive frequency index (FI), severity index (SI), important index (Imp.I) and relative importance index (RII) models. The study identified material resources, design and drawing/planning, and labor as the major risk factors in construction businesses. The results also showed that the principal risk factor centers on risks that are likely to cause delay in construction projects. The study recommends risk management approaches, including green construction practices, regular site meetings, timely submission and facilitation of prompt approval from authorities, and proper project planning, specification, and scheduling. The findings of this study have implications for multidisciplinary construction teams, policymakers, and construction industry stakeholders.
Construction business, risk, management, multidisciplinary construction team
Problem Affecting the Utilization of ICT for Curriculum Delivery in Public Secondary Schools in Ovia North East Local Government Area of Edo State
This study investigated the issues affecting ICT utilization in public secondary schools within the Ovia North East Local Government Area of Edo State. Two research questions were raised and answered. The population of the study was Twenty-five (25) public senior secondary school principals in Ovia North-East Local Government Area of Edo State. The principals were considered suitable respondents because they are directly responsible for overseeing School administration and are conversant with the level of ICT facility availability, utilizatized, and the challenges encountered in their respective schools. The instrument used in eliciting information was a questionnaire titled: Problems Affecting the use of ICT Utilization in school Administration in Ovia North-East Local Government Area of Edo State. (PAIUSA). The study utilized a descriptive design, using a checklist and a questionnaire administered to the principals of all 25 public secondary schools in the study area. Data collected through these instruments were analyzed using percentages, mean, and standard deviation. A decision rule was adopted such that items with a mean score of 2.60 and above were considered Accepted, while items with a mean score below 2.60 were considered Rejected.The findings indicated that the availability of ICT facilities in these schools was very low. The study identified several factors hindering effective ICT utilization: limited infrastructure, inadequate ICT facilities, unreliable power supply, and insufficient knowledge of ICT use within schools. Based on these findings, several recommendations were proposed.
Utilization, Information Communication Technology and Administration of secondary schools.
Innovative Instructional Strategies for Enhancing the Teaching of Automobile Technology Education Courses in Colleges of Education for Self-Employment in South East, Nigeria
The study ascertained innovative instructional strategies for enhancing the teaching of automobile technology education coursesin colleges of education for self-employment in South East, Nigeria. Two research questions were posed, and two null hypotheses postulated and tested at 0.05 level of significance guided the study. Descriptive survey research design was adopted. The entire population of 68 automobile technology educators in the eight public colleges of education in South East, Nigeria was studied without sampling. The instrument for data collection was validated by three experts and the reliability was established using Cronbach alpha statistic which yielded a coefficient of 0.77. Mean and standard deviation were used to answer the research questions while t-test was used to test the null hypotheses at 0.05 level of significance. Findings of the study revealed that the automobile technology educators agree to a high extent that blended learning strategies and interactive multimedia instructional strategiesenhance the teaching of automobile technology education courses for self-employment. The study further revealed that there is no significant difference in the mean ratings of automobile technology educators in Federal and State colleges of educationon the extent blended learning strategies and interactive multimedia instructional strategiesenhance the teaching of automobile technology education coursesfor self-employment in South East, Nigeria. The study concluded thatinnovative instructional strategies such as blended learning strategies and interactive multimedia instructional strategies enhance the teaching of automobile technology education courses for self-employment to a high extent. Among others, it was recommended that automobile technology educators in Federal and State colleges of education in South East, Nigeria should upskill themselves on the utilization of blended learning strategies and interactive multimedia instructional strategies to not only increase their instructional efficiency but also prepare students for the automobile industry.
Innovative instructional strategies, automobile technology education courses,colleges of education and self-employment
Entrepreneurial Skills in Woodwork Technology Possessed by Graduating Students for Employability in South East, Nigeria
Entrepreneurial, skill, technology, woodwork, building, sustainable, Practical, Personal
Lecturers’ Perception of the Core Curriculum Minimum Academic Standards for Science Education and Vocational and Technology Education in Universities in Rivers State
This study investigated the lecturers’ perception of the new Core Curriculum Minimum Academic Standard for Science Education, Vocational and Technology Education in two universities in Rivers State. The study participants were 31 lecturers from two programmes in two universities. This comprised 9 lecturers from Rivers State University and 22 from Ignatius Ajuru University of Education. Data were collected using a questionnaire which had both provision for closed andopen-ended responses. It was subjected to face and content validity by three experts and internal consistency reliability test which yielded Cronbach Alpha coefficient of 0.91. Data were analysed using mean and chi-square. The result showed that lecturers had a positive perception about the usefulness of the curriculum standard. However, there was divergent views about the ease of implementation of the curriculum as well as attitude towards the curriculum between lecturers from the two institutions. Furthermore, a significant association was found between perception on the usefulness of the curriculum and attitude towards the curriculum. On the other hand, there was no significant association between the perception on the ease of implementation and attitude towards the curriculum. Staff development for effective implementation of the new curriculum was recommended among others.
Curriculum Implementation, Vocational and Technical Education, Curriculum Standards, Academic Standards, Science Education
Prospects and Challenges of Integrating Artificial Intelligence in Business Education Programme
The integration of Artificial Intelligence (AI) in education has emerged as a transformative development, particularly in business education programmes. As global economies become increasingly digitized, the demand for technologically proficient graduates with business acumen continues to rise. This paper explores the prospects and challenges of integrating AI into business education, with a focus on how it aligns with the objectives of business education programme. It defines the concept of AI, outlines its application areas in teaching and learning, and analyzes the benefits it offers, such as personalized learning, automation, and enhanced instructional delivery. However, the paper also critically examined the challenges that institutions face, including inadequate infrastructure, limited faculty readiness, ethical concerns, and financial constraints. It argues that while AI presents significant opportunities to improve educational outcomes, it must be adopted through strategic planning, adequate training, and policy support to avoid potential drawbacks. The paper concludes and suggest among others that clear policies must be established to govern the collection, use, and protection of student data within AI systems, fostering trust and compliance with legal standards.
Artificial Intelligence, Business Education, Integration, Educational Technology, Digital Transformation
Enhancing Effective Teaching and Learning Delivery in Technical Vocational Education and Training [TVET] through Artificial Intelligence
Artificial intelligence (AI) will sooner or later become an indispensable technology. This study focused on enhancing effective teaching and learning delivery in Technical Vocational Education and Training [TVET] through artificial intelligence. Three research questions and three null hypotheses tested at 0.05 level of significance guided the study. The study adopted survey research design. The study was conducted at Faculty of Vocational Technical Education, University of Nigeria, Nsukka. A 34-item structured questionnaire titled “Enhancing Effective Teaching and Learning Delivery in Technical Vocational Education and Training [TVET] through Artificial Intelligence (ETLSDAI)” developed by the researchers was used for data collection on 70 purposively sampled people made up of 20 lectures and 50 students of the Faculty of Vocational Technical Education, University of Nigeria, Nsukka. The questionnaire was face-validated by three experts from the Faculty of Vocational and Technical Education, University of Nigeria, Nsukka. A Cronbach Alpha reliability method was used to determine the internal consistency of the questionnaire items and indices of the instrument yielded 0.85 reliability coefficient value was obtained using SPSS version 22. This showed that the instrument was reliable and appropriate for administration. All the 70-questionnaire administered to the respondents were returned. This represents a return rate of 100%. Mean and standard deviation were used to answer the research questions; while z-test was employed to test the null hypotheses at 0.05 level of significance. The major finding of the study was that artificial intelligence enhances the effective teaching and learning delivery in Technical, Vocational Education and Training [TVET] at University of Nigeria, Nsukka. Based on the finding, it was recommended that artificial intelligence should be incorporated in the teaching and learning of TVET courses at the Faculty of Vocational and Technical Education, University of Nigeria, Nsukka.
Artificial intelligence, effective teaching, learning delivery, TVET
Sustainable Collaborative Practices for Outcome-Based Learningin TVET Institutions in Enugu State, Nigeria
The study examined the sustainable collaborative practices for outcome-based learning in Technical Vocational Education and Training (TVET) institutions. The study adopted the descriptive survey research design. A total of 180 respondents made up the population of the study which comprises of TVET 78 Lecturers and TVET 102 technical instructors in 2 tertiary institutions in Enugu State. Because of the manageable size of the population, no sampling was done; rather all the 180 TVET educators were used for the study. Data were collected using a researcher structured questionnaire. The instrument clusters were designed on a five-point likert scale of Strongly Agree (SA) = 5, Agree (A) = 4, Undecided (UD) = 3 Disagree (D) = 2 and Strongly Disagree (SD) = 1. Three experts from TVET institution validated the research instrument. The Cronbach’s Alpha reliability method was used in testing the reliability of the instrument and a reliability coefficient of 0.821 was obtained. The mean and standard deviation was used to analyze the research questions, while the T-test was used to test the hypothesis at 0.05 level of significance. The study revealed some of the strategies for implementing outcome-based learning through collaborative practices, the challenges that hinder its implementation and interventions that can be implemented to strengthen and sustain outcome-based learning through collaborative learning practices especially in TVET institutions. The study recommended among others thatOutcome based learning (OBL) should be embraced for teaching, research, community development, and accreditation of all TVET institutions in Nigeria which could be achieved through an effective communication and proper coordination of OBL among regulators, educators, and all stakeholders
Sustainability, Collaborative Learning Practices, Outcome-Based Learning,Traditional Education Learning and TVET Institutions
Influence of AI-Powered Adaptive Learning Systems on Business and Entrepreneurial Competencies’ Development Amongst Students in TVET in University of Nigeria, Nsukka
This study ascertained the influence of AI-powered adaptive learning systems on business and entrepreneurial competencies’ development amongst TVET students in University of Nigeria, Nsukka. AI-powered systems design person-specific educational experiences for learners to effectively engage yet, some tertiary education institutions have remained fixated in delivering instruction through traditional approaches. Inefficiency of such approaches result in inability to personalize learners’ needs. Three null hypotheses were postulated and tested at 0.05 significance level. Related literatures were reviewed. Descriptive survey design was adopted. Population of the study consisted of 98 vocational educators and was entirely studied.16-item questionnaire was used for data collection. Reliability coefficient of the instrument was 0.87. Linear regression was used to test hypotheses. Findings showed significant influence of AI-powered business simulation games, mentorship platforms; and virtual business incubators on business and entrepreneurial competencies’ development. It was recommended that students should upskill themselves to use AI-powered learning gadgets; vocational educators should be retrained on use of AI-powered business simulation games, mentorship platforms; and virtual business incubators; curriculum developers should make provision for integration of AI-powered systems as instructional approaches; and Federal and State Ministries of education should improve budgetary allocations and ensure timely disbursements of funds for effective programme implementation.
Artificial Intelligence, Adaptive learning systems, Business simulation games, Mentorship platforms, Virtual business incubators
Policy Gaps and Institutional Readiness for AI Integration in Automobile Technology Education Programs in South-South Nigerian Universities
This study investigated the awareness, preparedness, and policy engagement regarding Artificial Intelligence (AI) integration in Automobile Technology Education (ATE) programs within South-South Nigerian universities. Guided by three research questions and two null hypotheses, a descriptive survey design was adopted, involving 178 participants (172 students and 6 lecturers) from two public universities in Delta State. Data were collected using structured questionnaires. Results showed consistently low awareness of institutional and national AI-related policies across both groups, with no statistically significant difference in awareness levels. Institutional preparedness for AI integration was rated very low, constrained by outdated curricula, weak infrastructure, inadequate staff training, and minimal industry partnerships. Furthermore, participants identified systemic policy gaps and ethical challenges such as weak intellectual property protections, poor data privacy regulation, and a lack of clear ethical guidelines. A strong positive relationship was found between institutional readiness and perceived effectiveness of AI integration, suggesting that better-prepared institutions are more confident in adopting AI responsibly. The study concludes that systemic inadequacies, rather than individual negligence, are the main barriers to AI adoption in ATE programs. It recommends urgent reforms in curriculum modernization, infrastructure investment, staff development, and the establishment of AI ethics and policy frameworks to promote responsible integration.
Artificial Intelligence (AI), Automobile Technology Education, Institutional Readiness, Policy Gaps, TVET
Impact of Green Building Technology on Goal Attainment and Efficiency in Construction Industries in North West Nigeria
The study was carried out to determine the impact of green building technology on goal attainment and efficiency in the construction industries in North West Nigeria. Three research questions answer The study, while three null hypotheses formulated were testes at 0.05 level of significance. The study adopted descriptive survey design and was carried out in North -West Nigeria. The population for the study were 50, Comprised of 28contractors and 22 engineers. There was no sampling because of manageable size of the population. A 50-item questionnaire was used for data collection. The instrument was validated by three experts Lecturers from department of Industrial Technical Education, University of Nigeria Nsukka, while 0.81 was obtained as reliability coefficient value using Cronbach alpha reliability method. Fifty copies of the questionnaire were administered on the respondent by the researcher and three research assistants. Out of the 50 copies of the questionnaire administered, 48 copies were retrieved indicating 94% rate of return. The data collected were analyzed using mean to answer the three research questions while analysis of variance was employ to test the hypotheses at 0.05 level of significant. The findings on hypotheses revealed that there was no significant difference between the mean responses of the respondents on the goal attainment and efficiency in construction industries for using green building technology. Based on the findings, the study recommended that construction industries in north-west should adopt and utilized green building technology in their construction projects.
Green Building Technology, Building Construction, Construction Industries, Goal attainment, Efficiency
Relationship Among Work Engagement, Job Performance and Turnover Intentions of Electrical/Electronic Technologists in Nigerian Universities
The study investigated the relationship between work engagement, job performances and turnover intentions of electrical/electronic technologists in Nigerian Universities. Three research questions were answered while two hypotheses formulated were tested at 0.05 level of significance. The study adopted a correlational research design and was carried out in South Eastern States of Nigeria. The population for the study was 105 electrical/electronic technologists. The instrument for data collection was questionnaire. Three experts face- validated the instrument. The internal consistency of the questionnaire items was determined using Cronbach alpha reliability method and the reliability coefficients of 0.88 was obtained for items on work engagement of electrical/electronic technologists, 0.84 for items on job performance of electrical/electronic technologists and 0.89 was obtained for items on turnover intention electrical/electronic technologists while the overall reliability coefficient of the items in the questionnaire was 0.92.Three research assistants were involved in data collection using the Questionnaire. Out of 105 copies of questionnaire administered, only 101 copies were completed representing 96.19 percent return rate. Pearson product moment correlation method was employed to analyze data for answering research questions while multiple regression analysis used for testing hypotheses formulated. The findings of the study revealed that: (i) there was a weak positive correlation between work engagement and job performance of electrical/electronic technologists (ii) a negative moderate correlation existed between work engagement and turnover intentions of electrical/electronic technologists (iii) there was a weak negative relationship between job performance and turnover intentions of electrical/electronic technologists. The findings on hypotheses revealed that: (i) there was a significant relationship between work engagement and job performance of electrical/electronic technologists (ii) there was a significant relationship between work engagement and turnover intentions of electrical/electronic technologists. Recommendations include that electrical/electronic technologists should be trained through career growth and progression workshop and seminar so that they can see their work as being important as lecturing jobs.
university, technologists, job performance, work engagement, correlation, turnover
Sustainable TVET Practices for Enriching the Quality of Technical Teacher Education in Nigeria
This paper explored the critical role of sustainable practices in enriching the quality of technical teacher education. The integration of sustainability into TVET is essential for aligning education with the demands of a rapidly changing economy. The descriptive survey design was adopted. Two research questions guided the study. The population for the study was 384, which comprised lecturers in colleges of education, polytechnics and universities. Structured questionnaire consisting of two parts, with five-point Likert scale was used to elicit responses from subjects. The instrument face validation was done by three experts in the department of industrial technical education of University of Nigeria, Nsukka. The Mean and Standard deviation were used to answer the research questions with a decision rule of 3.50. The findings of the study among others revealed that there is a strong need for the integration of environmental sustainability, renewable energy technologies, adoption of best international practises and industry-partnership into technical teacher education curricula in order to improve their practical skills. Identified challenges were lack of up-to-date infrastructure, non-availability of modern teaching materials and resources. It was amongst other things recommended that government should develop and implement policies that mandate the integration of sustainability into TVET curricula with regular review.
Sustainable TVET practices, technical teacher education, Institutional factors, Professional development
Application of Building Information Modelling Software on Project Supervisionin Building Construction Sitesin Sokoto State
The study determined the application of Building Information Modelling (BIM) Software on Project Supervision in Building Construction sites in Sokoto State. Three research questions guided the study. A descriptive survey design was adopted. The population for the study was 56 Building construction workers. No sampling was made because of the relatively small size of the population. Instrument for data collection was structured questionnaire. The instrument was validated by three experts. The internal consistency of the questionnaire items was determined by using Cronbach alpha reliability method and 0.86 reliability coefficient was obtained. Data were analyzed using mean and standard deviation. The study revealed that respondents agreed that BIM is impacting on collaboration, error reduction and project outcome, also building construction workers do associate advantages with using BIM in building construction project. It was recommended that Building Information Modelling approach be adopted in project workflow.
Building Information Modelling (BIM), Software, Supervision, Control, Construction Sites
Teamwork and Open-mindedness as Correlates of Job Satisfaction and Commitment of Metalwork Technicians in Industries in Northern Nigeria
This study was conducted to investigate the relationship between teamwork and open-mindedness with job satisfaction and commitment among metalwork technicians in northern Nigeria. Three research questions guided the study while three null hypotheses were tested at 0.05 level of significance. The study adopted correlational survey design. The population for the study was 148 metalwork technicians. Total population sample was adopted as the population was manageable. The instrument for data collection was Teamwork, Open-mindedness, Job Satisfaction and Commitment Questionnaire (TOJSCQ). Data for the study was collected by the researchers and three research assistants. Product Pearson Moment Correlation method was used to analyze collected data for answering research questions and for testing hypotheses. For testing the hypotheses, if the Sig (2-tailed) value is less than 0.05, the correlation is considered statistically significant. The findings of the study included that there was a strong positive relationship between teamwork and job satisfaction of metalwork technicians in industries in northern Nigeria. It was recommended that, managers in metal industries should be prioritizing teamwork among metalwork technicians by offering required information and opinions for solving technical problems in order to improve job satisfaction among the technicians.
Teamwork, Open-mindedness, Job satisfaction, Job commitment
Occupational Creativity as a Predictor of Self-Efficacy, Self-Belief and Productivity of Metalworkers in Imo State
The study examines the relationship between occupational creativity and self-efficacy, self-belief, and productivity in metalworkers in Imo State. Pearson product moment was used to correlate. The study samples 42 metalwork workers from registerd metal related industries. A reliability coefficient of 0.79 was reaslized. The results show a positive correlation between occupational creativity and self-efficacy, self-belief, and productivity of metalwork workers. The findings suggest that occupational creativity plays a crucial role in enhancing self-efficacy, self-belief, and productivity among metalworkers. This study has implications for the development of interventions that promote occupational creativity among metalworkers, which can lead to improved self-efficacy, self-belief, and productivity in the workplace. Recommendetions and further research is needed to explore the specific mechanisms through which occupational creativity influences these outcomes. Overall, this study highlights the importance of occupational creativity in the development of a productive workforce and calls for further attention to be paid to this area in future research and practice.
Occupational Creativity, Self-Efficacy, Self-Belief , Productivity Metalworkers
Exploring the Relationship Between Job Status, Years of Experience, and Job Performance Among Metalwork Technology Education Lecturers in Colleges of Education (Technical) in North Central Nigeria
This study explored the relationship between job status, years of experience, and job performance among Metalwork Technology Education (MTE) lecturers in Colleges of Education (Technical) in North Central Nigeria. Utilizing a correlational survey design, data were collected through a structured questionnaire administered to MTE lecturers across 15 institutions in the region. The study aimed to determine whether years of experience and job status significantly relate to job performance among these lecturers. Descriptive and inferential statistical methods were employed to analyze the data. The findings revealed that years of experience (YOE) negatively correlates with job status and positively correlates with job performance, indicating that years of experience play a crucial role in job performance (r = 0.225, p< 0.05), thus more experience is associated with better job performance; while negatively correlating with job status (r = -0.214, p< 0.05), indicating that workers with more experience tend to be among the lower cadre. Hierarchical multiple regression analysis also confirmed the correlations, and buttress the importance of years of experience in job performance of MTE lecturers (R2 = 0.051, β = 0.224, p = 0.024). These results suggest that since some lecturers are teaching while others conduct practical, the job status of a lecturer may have a more direct impact on their effectiveness and productivity than the length of time they have spent in the profession. Suggestions were made for educational policymakers and administrators to consider these dynamics in their efforts to improve the quality of technical education in the region.
College of Education, Job Performance, Job status, Lecturers, Metalwork Technology Education, Years of experience
Organizational Commitment and Academic Satisfaction as Predictors of Academic Performance of Mechanical Technology Education Students and Lecturers in South-Eastern Universities, Nigeria
The study was carried out to determine organizational commitment and students’ academic satisfaction as predictors of academic performance of mechanical technology education students and lecturers (MTESLs) in Southeast Nigeria. Three research questions were answered while three null hypotheses formulated were tested at .05 level of significance. The study adopted correlational research design. The population for the study was made up of 81 mechanical technology education students (MTESs) and 34 mechanical technology education lecturers (MTELs) from five universities in Southeast Nigeria. The Organizational Commitment Scale and the Academic Major Satisfaction Scale were adapted and administered to the respondents, while academic performance of the students was measured using the average scores from two mechanical technology education courses. The instruments for data collection were face validated by three experts in the Department of Industrial Technical Education, University of Nigeria, Nsukka. Cronbach alpha reliability technique was used to determine the internal consistency of the instruments. A reliability coefficient value of 0.90 was obtained for Organizational Commitment Scale and 0.92 for Academic Major Satisfaction Scale. A reliability coefficient of 0.94 was obtained as the overall reliability coefficient value. The statistics used to analyze the data for the study were Pearson Correlations and Regression analyses. The findings of the study revealed that: (i) a moderate and positive correlation exists between organizational commitment of lecturers and academic performance of MTESs (ii)organizational commitment of lecturers was a significant predictor of academic performance of students, (iii)students’ academic satisfaction was also a significant predictor of their academic performance. It was then recommended among others that Universities should try to improve the organizational commitment of lecturers through rewards and benefit schemes. Workshops and intervention programme should be organized for MTESs by the university administration or department on how they can improve their performance and satisfaction.
Organizational commitment; Academic satisfaction, Academic performance; Mechanical technology
Factory of the Future Requirements in Relation to Manufacturing Technology in Automobile Industry for Economic Enhancement
This paper reviewed approximately recent reported researches on requirements, challenges and current innovations in Manufacturing Technology System (MTS) in the area of the Factory of the Future (FoF) application for the economic enhancement of the automobile industry. These MTS researches are categorized to addressing: manufacturing technology aspects, introduction of computers to enhance automation using Computerized Numerical Control (CNC), Adaptive Control (AC), Industrial Robots, Computer Integrated Manufacturing Systems (CIMSs), and also Computer-Aided Design/Engineering/ Manufacturing (CAD/CAE/CAM), Theories and Models of Manufacturing Systems framework. The paper elaborated on 4th Industrial Revolution also, known as vision of Industry 4.0 which is for Cyber-Physical Production Systems in which sensor-laden “smart products” tell machines how they should be processed. This vision brings about situation of processes govern themselves in a decentralized, modular system, with smart embedded devices working together wirelessly either directly or via either the Internet ‘Cloud’, that is, the Internet of Things (IoT) to revolutionize manufacturing. This paper also elaborated revolutionize manufacturing system in the form of Flexible Manufacturing Systems (FMS),Computer Integrated Manufacturing (CIM), Integrated Manufacturing Production System (IMPS) – Lean Production,Adaptive Control/Manufacturing,Smart Manufacturing and Artificial Intelligence Application in manufacturing. This paper did achieve solutions embellishment on requirements, challenges and innovations on the areas of FoF requirements for automobile components manufacturing using intelligent manufacturing system, completely ICT-based production systems with high quality manufacturing technologies and intelligent capabilities aimed at high output with accurate performance.
Factory of the Future, Manufacturing Technology, Industry 4.0, Smart Manufacturing, Cyber-Physical Systems
Electric Vehicle Adoption As Sustainable Solution to Economic Growth and Environmental Challenges in Nigeria
The adoption of Electric Vehicles (EVs) offers a promising solution to address pressing environmental challenges and foster economic growth in Nigeria. This study explores the potential of EV adoption in Enugu State as a sustainable approach to mitigate air pollution, greenhouse gas emissions, and climate change while promoting industrial innovation and job creation. Conventional internal combustion engine vehicles are significant contributors to environmental degradation in the region, exacerbating urban air quality issues and accelerating climate risks. Despite growing global trends in EV adoption, limited infrastructure, high acquisition costs, and low public awareness impede their widespread use in Nigeria.The study investigates the environmental and economic benefits of EVs, emphasizing their role in reducing carbon emissions, fostering sustainable urban mobility, and creating clean energy ecosystems. It also examines global trends in EV adoption, highlighting market growth and technological advancements that enhance the efficiency and accessibility of EVs. Furthermore, the integration of EVs with Intelligent Transportation Systems (ITS) is discussed as a strategy to optimize traffic management, reduce emissions, and align with smart city initiatives.Addressing the barriers to EV adoption requires a collaborative approach involving policymakers, industry stakeholders, and the public. By analyzing challenges such as infrastructure deficits and exploring solutions like renewable energy integration and public awareness campaigns, this study provides actionable strategies to promote EV adoption in Nigeria. The findings underscore the transformative potential of EVs in achieving environmental sustainability and driving economic development in Enugu State and beyond.
Electric Vehicles, Adoption, Sustainability, Economic Growth, EnvironmentalChallenges