Challenges of Using Meta AI in Higher Education

Abstract

Despite many advantages, the use of Meta AI also creates several practical and academic challenges that may affect students’ learning processes. This study aimed to explore the challenges associated with the use of Meta AI among students in higher education institutions. The population of the study consisted of undergraduate and postgraduate students enrolled the universities of Lahore. A sample of 400 students was selected using a multi stage sampling technique to ensure representation from different academic backgrounds. Data were collected through a structured questionnaire adapted from Alghazo et al. (2025). The instrument included closed-ended items measured on a five-point Likert scale ranging from Strongly Disagree (1) to Strongly Agree (5). The reliability of the instrument was confirmed through Cronbach’s Alpha = .87. Quantitative data analysis was conducted using IBM SPSS, where descriptive statistics such as mean and percentages and inferential statistics including independent sample t-test and ANOVA were applied. The findings revealed that students experience several challenges while using Meta AI in their academic activities. The major challenges reported included over-dependence on artificial intelligence tools, concerns about the accuracy and reliability of AI-generated information, technological limitations and accessibility issues, and lack of institutional guidelines or policy frameworks regarding the responsible use of AI. The results also indicated variations in perceived challenges across different age groups and academic departments. On the basis of the results it is concluded that although Meta AI provides valuable academic support, its use also raises important practical challenges that require careful attention. It is recommended that higher education institutions develop clear policies, provide digital literacy training, and guide students in the responsible and effective use of AI technologies to minimize the potential challenges associated with Meta AI in educational settings.