WORK AND INCLUSIVE EDUCATION IN THE AGE OF AI AND DIGITAL TRANSFORMATION IN SECONDARY SCHOOLS IN AWKA CAPITAL CITY
Abstract
This study aimed at examining the work and inclusive education in the age of AI and digital transformation in secondary schools in Awka Capital City, of Anambra State. Descriptive research design was adopted in the study. The population of the study consisted of 189 teachers. The total sample was 40 teachers randomly selected from five public secondary schools in Awka Capital City. Questionnaire was used for data collection, Descriptive statistics of mean and standard deviation was employed to analyze the data. The findings of the study showed that teachers have very low level of using AI to implement inclusive education. The study concluded that in order to fully harness AI potentials and effectively achieve inclusive education for all required teachers, professional development training in the area of AI operations and application is needed since it was discovered that teachers in Nigeria and Anambra state; Awka capital city precisely have very low level knowledge and skills to use AI to personalize learning, offer adaptive instruction and measuring the extent of students' progress on the lessons. The study recommended that staff development training should be organized for teachers to acquire knowledge and skills on AI operation and application in education. Development and implementation of national AI education policy should include a plan for developing AI-related curriculum for schools and institutions with a specific focus on special needs education. It should also consider incorporating AI in teacher training institutions.
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Adebisi, R. O., Jerry, J. E., Rasaki, S. A. & Igwe, E. N. (2014). Barriers to special needs education in Nigeria. International Journal of Education and Research, 2(11), 451-462.
Adeparusi, T. (2023). New age of artificial intelligence and Nigerias preparedness. The Punch.
Cesaroni V., Galletti M, Pasqua E., and Nardi D. (2024). Towards Trustworthy AI in Inclusive Education: A Co-Creation Approach Rooted in Ecological Frameworks, in Ital-Ia, CEUR Workshop Proceedings, Napoli.
Council of Europe (2024), Artificial Intelligence: Glossary, https://www.coe.int/en/web/artificial intelligence/glossary. Accessed 15 April, 2025.
Delgado, H. O. K., de Azevedo, F. A., Sebastiany, M. J. & Silva, A. D. C. (2020). Artificial intelligence adaptive learning tools: The teaching of English in focus. Brazilian English Language Teaching Journal, 11(2), e38749.
Escotet, M. Á. (2023). The optimistic future of artificial intelligence in higher education. Prospects, page 1-10.
Gottschalk, F. and C. Weise (2023), “Digital equity and inclusion in education: An overview of practice and policy in OECD countries”, OECD Education Working Papers, No. 299, OECD Publishing, Paris.
Kamruzzaman, M. M., Alanazi, S., Alruwaili, M., Alshammari, N., Elaiwat, S., Abu-Zanona, M. & Ahmed, A. B. (2023). AI-and IoT-Assisted Sustainable Education Systems during Pandemics, such as COVID-19, for Smart Cities. Sustainability, 15(10), 8354.
Marino, M. et al. (2023), “The Future of Artificial Intelligence in Special Education Technology”, Journal of Special Education Technology, Vol. 38/3, pp. 404-416.
Odirin, O. (2014). Legal and ethical issues of persons with special needs in Nigeria. Educational Research and Reviews, 9(15), 516-522.
OECD (2023), Equity and Inclusion in Education: Finding Strength through Diversity, OECD Publishing, Paris, https://doi.org/10.1787/e9072e21-en.
Okunlaya, R. O., Syed-Abdullah, N., & Alias, R. A. (2022). Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Library Hi Tech, 40(6), 1869-1892.
Tan, D. Y., & Cheah, C. W. (2021). Developing a gamified AI-enabled online learning application to improve students perception of university physics. Computers and Education: Artificial Intelligence, 2, 100032.
Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of E-Learning, 20(5), 639-653.
Tony, B. (2021) Tech-Inclusive Education: A world classes system for every child. Paper 7th December 2021 KI By multiple experts (8).
UNESCO (2009). Policy Guidelines on Inclusion in Education. Paris, France: Page 126.
United Nations Statistics Division (2024), Sustainable Development Goal 4 (SDG 4). unstats.un.org/sdgs/report/2017/goal-04.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education — Where are the educators? International Journal of Educational Technology in Higher Education, 16(39), 1-27.
Zhang, Z., Xu, Y., Wang, Y., Yao, B., Ritchie, D., Wu, T., Yu, M., Wang, D. & Li, T. J. J. (2022). Storybuddy: A human-AI collaborative chatbot for parent-child interactive storytelling with flexible parental involvement. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-21).
Zia, T. (2023, July 19). Transforming education: AI-powered personalized learning revolution. Techopedia.
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