Paper Details

Name: K Rajendran, Kanagaraj S & S. Parthiban
Country: India

Year: 2026
Volume: Volume No: 13, Issue No: 1, Year: 2026
Page Number: 341-347
DOI: https://doi.org/10.5281/zenodo.20744301

ABSTRACT
Artificial Intelligence (AI) is revolutionising higher education by augmenting pedagogical efficacy, refining evaluation methodologies, and optimising academic administration. Higher education institutions are progressively implementing AI-driven solutions, including intelligent tutoring systems, automated grading platforms, learning analytics, chatbots, and predictive analytics, to enhance educational results and operational efficiency. The successful use of AI technology relies on various technological, organisational, individual, and environmental aspects. This article examines the principal issues affecting the adoption of AI-driven tools and technology in higher education institutions. Comprehending these aspects can aid politicians, administrators, educators, and technology developers in formulating effective plans for AI integration and sustained digital transformation. The study adopted a descriptive research design to examine the factors influencing AI adoption in higher education. The research was conducted among faculty members and stakeholders in Coimbatore City. A total of 150 respondents were selected using the convenience sampling method, based on their accessibility and willingness to participate in the study. The collected data were analyzed to understand respondents' perceptions regarding AI-based tools and technologies in higher education. The study concludes that respondents hold a positive perception toward the adoption of AI-based tools and technologies in higher education. Factors such as personalized learning experiences, early identification of at-risk students, reduced administrative workload, and enhanced assessment accuracy were perceived as the most influential benefits of AI adoption. The findings indicate that AI has significant potential to improve teaching effectiveness, student engagement, decision-making, and institutional performance. Although Kendall’s Coefficient of Concordance revealed a low level of agreement among respondents, the statistically significant result confirms a meaningful consensus regarding the importance of these factors. Therefore, higher education institutions should encourage the effective integration of AI technologies through appropriate infrastructure, training, and policy support to enhance academic and administrative outcomes.
Keywords: Artificial Intelligence, Higher Education, Technology Adoption, Instruction, Evaluation, Academic Administration and Digital Transformation.