Benefits of Meta AI in Higher Education

Abstract

Artificial intelligence tools, particularly Meta AI, are increasingly being used in education. Understanding the potential academic advantages of such tools is important for integrating emerging technologies into modern educational practices. The study adopted a quantitative research approach and was conducted on undergraduate and postgraduate students of four universities in Lahore, Pakistan, including two public and two private institutions. The population consisted of all the students enrolled in these universities, and a sample of 400 students was selected through multi stage random sampling technique to ensure representation from different academic disciplines and levels. Data was collected using a structured questionnaire consisting of closed-ended statements measures on five point Likert type scale . The instrument was adapted from previous studies on AI use in education and modified according to the objectives of the present research. The questionnaire measured perceived academic benefits of Meta AI including learning improvement, academic performance, creativity, and time management. The reliability of the instrument was ensured through Cronbach’s Alpha reliability index, which indicated acceptable internal consistency. The collected data were analyzed using IBM SPSS 24 (trial version). Both descriptive and inferential statistical techniques were applied, including frequencies, percentages, means, standard deviations, independent sample t-tests, and ANOVA to examine demographic differences. The findings revealed that students generally perceive Meta AI as a beneficial academic tool. The results indicated that Meta AI contributes to improved learning and understanding, enhanced academic performance and quality of work, increased creativity and idea generation, and better time management and efficiency. Demographic analysis showed that undergraduate students reported slightly higher perceived benefits compared to postgraduate students, while no significant difference was found based on gender. Variations were observed across age groups and departments, with younger students and students from departments such as Pharm-D and Education reporting higher perceived benefits. It is recommended that universities should guide students for the responsible use of AI tools, provide digital literacy training, and develop institutional policy to maximize the academic benefits of emerging AI technologies.

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