IIARD International Institute of Academic Research and Development

WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY (WJIMT )

E-ISSN 2504-4766
P-ISSN 2682-5910
VOL. 8 NO. 3 2024
DOI: 10.56201/wjimt.v8.no3.2024.pg103.114

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Integrating Artificial Intelligence (AI) In Distance Education at Sokoto State Tertiary Institution: A Pathway to Enhanced Learning

Bashiru Aliyu Gada

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Abstract

This research study explores the potential benefits and challenges of integrating Artificial Intelligence (AI) distance education in Sokoto state tertiary institutions. The rapid advancement of AI technologies presents an opportunity to revolutionize the delivery of education, particularly in the context of distance learning. This research aims to investigate the impact of AI on personalize learning experiences, administrative efficiency and students support services in the context of Sokoto state tertiary institutions. The study employed a mixed-method approach, incorporating both quantitative and qualitative data collection methods. Survey and interviews were conducted with students, educators and administrators to gather insight into their perceptions and the experiences with AI-enabled distance education. Additionally, data analysis will be conducted to assess the effectiveness of AI tools in improving learning outcomes, automating administrative tasks and enhancing and support. The finding of this research will contribute to the existing body of knowledge on the integration of AI in distance education, with a specific focus on the unique needs and challenges faced by Sokoto state tertiary institutions. The research outcome will provide valuable insight for educational policy makers, administrators and educators seeking to leverage AI technologies to enhance the quality and accessibility of distance education in Sokoto state.

keywords:

Artificial intelligence, distance education, administrative efficiency and students

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References:

Ababneh, M., Aljarrah, A., Karagozlu, D., &Ozdamli, F. (2021). Guiding the Students in High
School by Using Machine Learning. TEM Journal,10 (1), 384-391.
Aberbach, H., Jeghal, A., Sabri, A., Tairi, H. and Laaouina, L., 2021. A personalized learning
approach based on learning speed. Journal of Computer Science, 17(3), 242–250
Agrawal, A., & Mittal, N. (2020). Using CNN for facial expression recognition: a study of the
effects of kernel size and number of filters on accuracy. The Visual Computer, 36(2),
405-412.
Adomi, I.A. (2010). Towards effective use of information and communication technology for

teaching in
Nigerian colleges of education. Asian Journal of Information Technology,

7(5), 210 – 214.
Castrounis, A. (2016). Artificial Intelligence, Deep Learning and Neural Networks. Retrieved
from http://www. kdnuggets.com/2016/10/artificial-intelligence-deep-learning-neural-
networks-explained.html
Duggan, S., 2020. AI in education: Change at the speed of learning. UNESCO IITE. Available

at:
Education_2020.pdf> [accessed on 19 November 2021].
Han, B. (2019). Application of artificial intelligence in autonomous English learning among
college students. International Journal of Emerging Technologies in Learning, 14(6), 63-
74.
Kaluarachchi, T., Reis, A. and Nanayakkara, S., 2021. A review of recent deep learning

approaches
in human-centered machine learning. Sensors, 21(7), p. 2514.

https://doi.org/10.3390/s21072514.
Klašnja-Mili?evi?, A. and Ivanovi?, M., 2021. E-Learning personalization systems and
sustainable education. Sustainability, 13(12), 6713.
Miner, R. (2017). What are artificial intelligence, machine learning and deep learning. Retrieved
from http://www. kdnuggets.com/2017/07/rapidminer-ai-machine-learning-deep-
learning.html
Netragaonkar, Y.D (2024). Arti?cial Intelligence (AI) in Higher Education. 21st Century Tech
Trends: Higher Education. 24-36
Walkington, C. and Bernacki, M.L., 2020. Appraising research on personalized learning:
Definitions, theoretical alignment, advancements, and future directions. Journal of
Research on Technology in Education, 52(3), 235–252.
Xiaogang, L. (2018). A Research on Distance Education System Based on Artificial Intelligence
Technology. International Conference on Big Data and Artificial Intelligence (ICBDAI)
Francis Academic Press, UK 98-103.
Zlatarov, P., Ivanova, E., Ivanova, G. and Doncheva, J., 2021. Design and development of a
web-based student screening module as part of a personalized learning system. TEM
Journal, 10(3), 1454–1460.

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