Artificial Intelligence in Higher Education: Implications for Academic and Administrative Efficiency
Ramon Woo Jr., CPA, EdD, DBA, PhD, PD-SML1, Rosalina S. Andaya, PhD., PD-SML2, Rachelle M. Santos, LPT, JD, DBA, Ph.D., PD-SML3,
Reynold A. Campo, JD, DBA, Ph.D., PD-SML4
https://orcid.org/0009-0002-4295-151X1,https://orcid.org/ 0009-0004-0545-78402, https://orcid.org/0000-0002-9176-08273,https://orcid.org/0000-0002-9499-14364
ramon.woo@pcu.edu.ph1, rosalina.andaya@jpc.edu.ph2, rmsantos0107@gmail.com3, reynoldcampo1126@gmailcom4
John Paul College, Roxas, Oriental Mindoro, Philippines1-2
Philippine Christian University, Manila, Philippines3-4
FEATI University, Manila, Philippines3, Asian Institute of Maritime Studies, Manila, Philippines4
DOI: https://doi.org/10.54476/ioer-imrj/086160
ABSTRACT
The rapid proliferation of artificial intelligence (AI) has significantly altered numerous domains, including higher education. This pervasive adoption has demonstrably impacted both academic and administrative functions. This research endeavors to evaluate the influence of artificial intelligence on an institution’s operational efficiency, with a particular emphasis on the application of AI in Higher Education Institutions (HEIs). The main objective of this study is to improve operational efficiency, boost learning outcomes, and refine decision-making processes. This study aims to understand how the HEI views the potential benefits and challenges of using artificial intelligence in its academic and administrative operations. A qualitative research design was utilized, including document analysis and semi-structured interviews as data-gathering methods. Fo document analysis, relevant scholarly articles, policy documents, and institutional reports were examined to determine existing frameworks and trends in AI integration into the operational processes of the organization. In addition, interviews were held with university administrators, faculty, and IT staff to obtain insights on current practices, experiences, and institutional viewpoints as related to the objectives of the study. The research findings demonstrate that artificial intelligence significantly improves operational efficiency by automating administrative tasks, including enrollment management, scheduling, and data analysis.Furthermore, AI contributes to educational enhancement through personalized learning systems, intelligent tutoring, and performance analytics. The study also reveals notable obstacles, including insufficient digital infrastructure, data privacy concerns, resistance to change, and the need for staff training. The discussions highlight the positive effects on both academic and administrative processes. However, they also emphasize that the successful use of AI, despite its potential to greatly improve efficiency, requires careful planning, ethical guidelines, and strong institutional support. The study highlights artificial intelligence’s capacity to foster innovation and enhance operational effectiveness in higher education, if universities implement a judicious approach that harmonizes technological integration with human supervision and core academic principles. Subsequent recommendations advocate developing AI literacy initiatives for faculty and creating institutional guidelines that promote the ethical application of AI technologies.
Keywords: Artificial Intelligence, Higher Education, Academic Efficiency, Administrative Efficiency, Digital Transformation, Educational Technology, University Management
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