Evaluating Data Security Measures in AI-Enhanced Educational Tools in Nigerian Universities

This study evaluates data security measures in AI-enhanced educational tools within Nigerian universities, focusing on the perceptions of university lecturers. A sample of 379 lecturers was surveyed using a structured questionnaire titled "Lecturers' Perceptions on Data Security Measures in AI- Enhanced Educational Tools in Nigerian Universities" (LPDSME). The reliability of the instrument was established with a Cronbach's alpha coefficient of 0.87, indicating strong internal consistency. Statistical analysis was conducted using mean and standard deviation to address five key research questions, including the level of awareness regarding data security risks and the perceived effectiveness of current measures. Findings revealed that while lecturers demonstrated a high level of awareness regarding data security risks, they perceived existing data security measures as inadequate, with several items rejected in effectiveness assessments. Recommendations include prioritizing training for lecturers on data security protocols and enhancing collaboration between IT departments and academic staff to ensure comprehensive security practices. Additionally, universities need to invest in updated technologies and frameworks to bolster data protection in AI-enhanced educational environments.