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Extent of Integration of Artificial Intelligence Tools for Assessing Students? Academic Achievement in Automobile Technology Education in Colleges of Education in South East, Nigeria
Subject area: Science,Engineering and Technology · Area of research: Technology
Abstract
The main purpose of this study was to ascertain the extent of integration of artificial intelligence tools for assessing students? academic achievement in automobile technology education in colleges of education in South East, Nigeria. Three research questions and three null hypotheses 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 were 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 automated grading tools, online polling tools and learning management systems are integrated to a low extent in assessing students? academic achievement in automobile technology education in colleges of education in South East, Nigeria. The study concluded that automobile technology educators are struggling to integrate automated grading tools, online polling tools and learning management systems in assessing students? academic achievement in automobile technology education in colleges of education in South East, Nigeria. Among others, it was recommended that automobile technology educators need to undertake in-service on artificial intelligence technologies to enable them use automated grading tools, online polling tools and learning management systems for assessing students? academic achievement in automobile technology education in colleges of education in South East, Nigeria.
Keywords
Colleges of Education, Artificial Intelligence, Students? Academic Achievement
References
[1] Adiguzel, T., Kaya, M.H., & Cansu, F.K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429.
[2] Alumona, D., & Akinseinde, S.I. (2023). Perceived benefits, challenges and level of implementation of learning management system among staff and students in Delta State tertiary institutions. European Journal of Education Studies, 10(4), 329-352.
[3] Baker, T., & Smith, P. (2020). The future of AI in education: Assessment, ethics, and human rights. Journal of Educational Technology, 45(2), 123-135.
[4] Baranovskaya, T., & Shaforostova, V. (2017). Assessment and evaluation techniques. Journal of Language and Education, 3(2), 30 – 38
[5] Chen, L., Wang, Y., & Zhang, M. (2020). The impact of AI on educational practices: A study on grading systems. International Journal of Educational Technology, 15(3), 45-58.
[6] Chigozie-Okwum, C.C., Ezeanyeji, P.C., & Odii, J.N. (2018). Adoption of learning management systems in Nigerian tertiary institutions: Issues and challenges. International Journal of Computer Applications, 181(30), 5-10.
[7] Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245.
[8] Findik-Coşkunçay, D., Alkiş, N and Özkan-Yıldırım, S. (2018). A structural model for students' adoption of learning management systems: An empirical investigation in the higher education context. Journal of Educational Technology & Society, 21(2), 13-27
[9] Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023b). Trends, research issues and applications of artificial intelligence in language education. Educational Technology & Society, 26(1), 112-131
[10] Khan, F.N., Begum, M., & Imad, M. (2019). Relationship between students’ home environment and their academic achievement at secondary school level. Pakistan Journal of Distance and Online Learning, 5(2), 223-234
[11] Kumar, N.S. (2019). Implementation of artificial intelligence in imparting education and evaluating student performance. Journal of Artificial Intelligence, 1(01), 1-9.
[12] Ngugi, J., & Mwangi, R. (2024). The effects of AI on student performance in East African universities: A pilot study. Journal of Educational Research in Africa, 12(1), 15-30.
[13] Nwaukwa, F.C. (2021). Effect of think-pair-share instructional strategy on secondary school students’ academic achievement, retention and self-efficacy in financial accounting in Abia State. Unpublished Doctoral Dissertation, Department of Technology and Vocational Education, Faculty of Education, Nnamdi Azikiwe University, Awka
[14] Onokpaunu, M.O. (2023). Needs assessment of the implementation of accounting education curriculum in federal colleges of education in South-South, Nigeria. Published Doctoral Dissertation, Department of Technology and Vocational Education, Nnamdi Azikiwe University, Awka, Anambra State
[15] Orhani, S., Saramati, E., Krasniqi, S., & Morina, M. (2024). Assessment of students' academic performance in primary and lower secondary education: An analysis of influencing factors. American Journal of Humanities and Social Sciences Research, 8(7), 208 – 217
[16] Owan, V.J., Abang, K.B., Idika, D.O., Etta, E.O., & Bassey, B.A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. EURASIA Journal of Mathematics, Science and Technology Education, 19(8), 1 – 15
[17] Owo, O.T., & Deebom, M.T. (2020). Assessment of the technical skills acquired by students of technology education for employment generation in Rivers State, Nigeria. International Journal of Latest Research in Humanities and Social Science, 3(2) 35-41.
[18] Otuo, O.H., Ikpe, S.A., & George, W.K. (2025). Assessment of motivational strategies for skill acquisition in automobile technology among colleges of education students in South-South and South-East, Nigeria. International Journal of Education and Evaluation, 11(1), 112 – 126
[19] Schmidt, J., & Glassner, A. (2020). The role of AI in reshaping student assessments: A critical review. British Journal of Educational Technology, 51(5), 1546-1558
[20] Shabbir, G., Zafar, J.M., Rafiq, A., & Bhuttah, T.M. (2021). Impact of classroom assessment practices on student's academic performance: A case study. Ilkogretim Online Elementary Education Online, 20(5), 5386-5398
[21] Ventura, A.M.C., & Lopez, L.S. (2024). Unlocking the future of learning: Assessing students’ awareness and usage of AI Tools. International Journal of Information and Education Technology, 14(8), 1136 – 1144
[22] Wogu, S.N., Okoye, P.I., Nwankwo, C.O., & Nwaorgu, O. (2024). Determination of teaching methods for improving students’ interest in automobile technology education subjects in colleges of education in South East, Nigeria. Industrial Technology Education Research Journal, 7(2), 25 – 34
How to cite this paper
@article{1712580,
author = {Wogu, S. N PhD, Nwaorgu, O., Nwankwo, C. O., Igwe, N. PhD},
title = {Extent of Integration of Artificial Intelligence Tools for Assessing Students? Academic Achievement in Automobile Technology Education in Colleges of Education in South East, Nigeria},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {6},
pages = {512-520},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712580.pdf},
abstract = {The main purpose of this study was to ascertain the extent of integration of artificial intelligence tools for assessing students? academic achievement in automobile technology education in colleges of education in South East, Nigeria. Three research questions and three null hypotheses 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 were 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 automated grading tools, online polling tools and learning management systems are integrated to a low extent in assessing students? academic achievement in automobile technology education in colleges of education in South East, Nigeria. The study concluded that automobile technology educators are struggling to integrate automated grading tools, online polling tools and learning management systems in assessing students? academic achievement in automobile technology education in colleges of education in South East, Nigeria. Among others, it was recommended that automobile technology educators need to undertake in-service on artificial intelligence technologies to enable them use automated grading tools, online polling tools and learning management systems for assessing students? academic achievement in automobile technology education in colleges of education in South East, Nigeria.},
keywords = {Colleges of Education, Artificial Intelligence, Students? Academic Achievement},
month = {December},
doi = {https://doi.org/10.64388/IREV9I6-1712580}
}