Artificial intelligence (AI) has the potential to transform the traditional higher education learning and teaching process, as well as for administrative activities, which makes it important to investigate the transforming AI impact on higher education in comprehensive mixed-methods approach. This research AI impact on higher education abstraction based on its implementation across 15 universities, consisting of 1080 participants, on Karachi, Lahore, and Islamabad, and Peshawar, Quetta, with AI use by faculty, students, and administrative staff, and their integration of AI into teaching, learning, and research activities. AI utilization in research activities, as well as teaching and learning, was investigated through the implementation of structured questionnaires, semi structured interviews, and classroom observations. 78 percent of faculty AI potential of improving the educational delivery, whilst 82 percent of students and positive attitudes towards AI use in learning. Still, many barriers to success were noted, infrastructure was 67 percent, inadequate training scored high at 71 percent, and the inability to change scored 54 percent. Transformative pedagogies, enhanced research, and flexible institutions were the dominant themes. AI contributes to personalized learning through revolutionized higher education automated assessments and accelerated research, which highlights the importance of strategic planning, infrastructure, faculty development programs, and investing AI to transform higher education. Results indicated a rural-urban imbalance, with urban institutions making greater progress than their rural counterparts, which were found to be at the early adoption a stage. The insights gained will be valuable for policymakers and educational leaders during AI centric higher education planning.
Ahmed et al. (Thu,) studied this question.