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Students Data Security Metrics and the Ethical Implication for Artificial Intelligence Deployment
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Author(s): Ifedayo Emmanuel Adu (Bamidele Olumilua University of Education, Science, and Technology, Ikere, Nigeria)and Damola Olugbade (Abiola Ajimobi Technical University, Ibadan, Nigeria)
Copyright: 2026
Pages: 32
Source title:
AI in Education, Governance, and Leadership: Adoption, Impact, and Ethics
Source Author(s)/Editor(s): Bosede Iyiade Edwards (Universiti Sains Malaysia, Malaysia), Hassan Abuhassna (Sunway University, Malaysia), Damola Olugbade (University of South Africa, Pretoria, South Africa), Olayinka Anthony Ojo (University of Bolton, United Kingdom)and Wan Ahmad Jaafar Wan Yahaya (Universiti Sains Malaysia, Malaysia)
DOI: 10.4018/979-8-3373-5550-4.ch008
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Abstract
This chapter explores the deployment of artificial intelligence (AI) technologies within the context of data security, focusing on the perceptions and engagement metrics of Nigerian university students. Utilizing a quantitative methodology, the research employed data analytics gathered from the X (formerly Twitter) platform, complemented by screen recordings. A total of 100 responses were collected, with data cleaning performed prior to analysis using SPSS and Excel as .csv data compiler. The chapter utilized linear regression and descriptive statistics to analyse engagement metrics, revealing trends in students' awareness and understanding of data security including the ethical deployment of AI. Findings indicate a significant increase in student engagement in 2022 and 2024, reflecting heightened discourse around AI ethics and data security issues. The results underscore the necessity for targeted educational initiatives that address the growing concerns among students regarding the implications of AI technologies, contributing to the broader dialogue on responsible AI deployment.
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