Web 4.0 Technologies in TVET Education: Perception and Utilization among University Lecturers in Nigeria
Abstract
This study examined perceptions and utilization of Web 4.0 technologies among Technical Vocational Education and Training lecturers in Nigerian universities in South-South geopolitical zone. Two research questions were formulated for the study. A descriptive survey design was used. Population consisted of 128 lecturers. Sample size was 105 lecturers (75 males, 30 female). A structured questionnaire with 30 items was used. Experts validated the instrument. Reliability testing produced Cronbach alpha values of .78. Data were analyzed using mean and standard deviation. Findings showed that lecturers expressed positive perceptions of Web 4.0 tools such as artificial intelligence, blockchain, virtual reality, augmented reality and semantic web systems for teaching and learning. Responses indicated acceptance of interactive learning, skill demonstration and learner engagement. Utilization results showed moderate use of Web 4.0 technologies in teaching activities, with AI tools and virtual reality recording partial application. Blockchain and semantic web tools showed mixed usage patterns. Limited access to infrastructure and training influenced application levels. Gender pattern showed close mean values for male and female respondents. The researchers recommended the need for adequate digital infrastructure, regular lecturer training, improved internet connectivity and curriculum integration of Web 4.0 tools in TVET programmes, with support from government and institutional management for sustained implementation and capacity development.
Keywords
Web 4.0TVET lecturersNigerian universitiesartificial intelligencedigital learning
References
Adebayo, M. (2023). Digital literacy and technology adoption in Nigerian higher education: The case of Web 4.0. Journal of Educational Technology Research, 18(2), 67-82. Adegbite, O. & Nwankwo, I. (2022). Digital transformation in technical education: The role of Web 4.0 technologies in Nigeria. International Journal of Vocational Studies, 15(2), 45- 62. Adeyemi, T. & Awolusi, O. (2021). Lecturers’ Competence and Attitude toward Educational Technologies in Nigerian Universities. Journal of Educational Technology in Higher Education,18(1), 1-20. Agarwal, S. & Kumar, R. (2023). The role of Web 4.0 in modern education: A systematic review. International Journal of Emerging Technologies in Learning, 22 (1), 45-61. Albu, R.D. (2013), Contributions regarding the quality and reliability of web services, PhD Thesis, University of Oradea. Bakare, J., Onah, B.I. & Okereke, G. K. O. (2018). Capacity building needs of lecturers in e- teaching for effective delivery of computer and electrical/electronic technology courses in tertiary institutions in southwestern Nigeria. International Journal of Applied Engineering Research, 13 (11), 8736-8750. http://www.ripublication.com Berners-Lee, T., Fischetti, M. & Dertouzos, M. L. (2022). Weaving the web: The original design and ultimate destiny of the World Wide Web. New York, NY: Harper Business. Bica, A., Curil, M. & Curil, S. (2013). The Method of Successive Interpolations Solving Initial Value Problems for Second Order Functional Differential Equations. Fixed Point Theory, 14 (1), 67-90. Bornstein, M.H., Jager, J. & Putnick, D.L. (2013). Sampling in Developmental Science: Situations, Shortcomings, Solutions and Standards. Developmental Review 33 (4), 357–370. Brown, R., Chen, L. & Williams, S. (2023). Decentralized learning systems: Web 4.0 and the future of technical education. Educational Research and Reviews, 18 (1), 67-82. Cronbach, L.J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika Journal, 16 (3), 297-334. doi:10.1007/bf02310555. Echeng, R. & Usoro, A. (2014). Factors of acceptance and use of web 4.0 technologies for effective implementation in higher education: Present level of use in two countries. Proceedings on ICICTE. University of the West of Scotland United Kingdom. Eke, C. (2023). Challenges and opportunities in Web 4.0 adoption in Nigerian universities. African Journal of Digital Education, 12 (3), 99-113. IJEE IJEE www.ijee.io Esara, U. V., Asuquo, M. E. & Udoh, A. J. (2024), Oil and Militancy in Nigeria’s Niger Delta. Journal of Advanced Research and Multidisciplinary Studies 4(3), 77-89. Federal Republic of Nigeria (FRN, 2013). National Policy on Education (6th edition) Lagos. NERDC Press. Hough, J. & Neuland, E. (2012). Comparison of Web 4.0 On-Line Usage by on Campus and Distance Learning Students Online http://goo.gl/hBFdrz(Retrieved on 10th October 2016). Idhalama, O.U., Krubu, D.E. & Etebu, A.T. (2023). Proficiency of University Lecturers in the Adoption of Emerging Instructional Technologies in Nigeria. East African Journal of Education and Social Sciences 4 (5), 101-108. Islam, M.R. (2018). Sample Size and Its Role in Central Limit Theorem . International Journal of Physics and Mathematics, 1(1), 37-47. https://doi.org/10.31295/ijpm.v1n1.42. Luo, L. (2010). Web 4.0 integration in information literacy instruction: An overview. Journal of Academic Librarianship, 36 (10), 32-40. Makori, E.O. (2011). Bridging the information gap with the patrons in university libraries in Africa: The case for investments in web 4.0 systems. Library Review, 61(4), 30-40. Miranda, J., Lopez, C. S., Navarro, S., Bustamante, M. R., Molina, J. M. & Molina, A. (2019). Open innovation laboratories as enabling resources to reach the vision of education 4.0. In 2019 IEEE international conference on engineering, technology and innovation (ICE/ITMC) (pp. 1–7). IEEE, 2019. https://doi.org/10.1109/ ice.2019.8792595. Nardi, P.M. (2018). Doing survey research: A guide to quantitative methods. 4th Edition, Routledge, New York. https://doi.org/10.4324/9781315172231. National Board for Technical Education (NBTE, 2023). Policy framework for digital transformation in technical education. Kaduna, Nigeria: National Board for Technical Education. National Bureau of Statistics (NBS, 2022). Statistical Report on Nigeria’s Oil and Gas Sector. National Population Commission (NPC, 2019). Population and Housing Census Report. Nworgu, B.G. (2018). Educational research, basic issues and methodology. University Trust Publishers Nsukka. Ogbulogo, C.U., George, T.O. & Olukanni, D.O. (2014). Teaching aids, quality delivery and effective learning outcomes in a Nigerian private university. Proceedings of EDULEARN14 Conference, 7th-9th July 2014, Barcelona, Spain. pp. 61-68. Ogunleye, T. & Adeyemi, P. (2023). Barriers to digital learning adoption in Nigeria: A focus on Web 4.0 applications. West African Journal of Higher Education, 15(4), 78-95. Ohei, K.N. & Brink, R. (2019). Web 4.0 and Web 2.0 Technologies in Higher Educational Institute: Methodological Concept towards a Framework Development for Adoption. International Journal for Infonomics, 12 (1), 1841- 1853. Okafor, N. & Nwafor, O. (2023). Blockchain and AI in technical education: A pathway to innovation. Journal of Vocational and Technical Studies, 10(1), 31-47. Oladimeji, Y. & Yusuf, A. (2022). Lecturer readiness for Web 4.0 technologies in Nigerian universities. Nigerian Journal of Educational Innovation, 17(2), 56-72. Owo, O.T. & Ajie, P.M. (2020). Impediments to effective utilization of e-learning platforms for quality teaching and learning in universities in Niger-Delta, Nigeria. International Journal of Innovative Research and Development, 9 (7), 128-133. Oyeniran, O.A., Oyeniran, S.T., Oyeniyi, J.O., Ogundele, R.A. & Ojo, A.O. (2020). E-Learning: Advancement in Nigerian pedagogy amid Covid-19 pandemic. International Journal of Multidisciplinary Sciences and Advanced Technology, 1(3), 85-94. IJEE IJEE www.ijee.io Oztemel, E. & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31, 127–182. Smith, J. & Johnson, R. (2022). The impact of artificial intelligence and blockchain on higher education. International Journal of Educational Technology, 21 (1), 89-104. Taber, K.S. (2017). The use of Cronbach’s Alpha when developing and reporting instrument in science education. Journal of Research in Science Education, 4 (8), 1273-1296. Taherdoost, H. (2016). Validity and reliability of the research instrument: How to test the validation of a questionnaire/survey in research. International Journal of Academic Research in Management, 5 (3), 28-36. Ukwu, D.K. & Ukwu, C.O. (2021). Lecturers' Perceptions of the Impact of Emerging Technologies on Teaching and Learning in Nigerian Universities. Nigerian Journal of Educational Technology, 40 (2), 831-855. UNESCO (2023). Digital transformation and higher education: Trends and challenges. Paris, France: UNESCO Publishing
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