Use Of Artificial Intelligence at Higher Education Level: A Descriptive Survey

Abstract

Artificial Intelligence (AI) is increasingly transforming the concept of higher education through augmentation of pedagogic, epistemic and administrative functions. AI technologies (intelligent tutoring systems, adaptive learning platforms, virtual assistants, and automated assessment tools) in question provide the opportunity of a personalized experience in learning, increased student engagement, and aid in data-driven decision-making. The current research aims at examining the issue of AI application on tertiary level with a specific focus on the applications, benefits, and the challenges associated with it. The wave of a descriptive survey design will be conducted whereby the targeted respondents will be students, faculty, and administrators of chosen universities. The data will be collected through the use of structured questionnaires and semi-structured interviews, and later analyzed with descriptive and inferential statistics to outline trends within the adoption and usage rates and perception of AI efficacy. This study aims to uncover the impact of AI tools on the achievement of academics, the instruction methods, and the efficiency of educational institutions, and the challenges to successful implementation. The emergent results are also likely to inform the current positions of AI adoption in higher education, highlight areas that require improvement, and to provide recommendations that should be made to policy makers, educators, and technology developers to streamline AI-based educational processes. This study will contribute to the improved comprehension of technology enhanced learning by assessing the adoption and the effects of AI and assist in devising innovative learners centered teaching and instruction methods. 

Keywords: Artificial Intelligence, higher education, adaptive learning, intelligent tutoring systems, academic performance, technology-enhanced learning.