The Influence of AI on Business Education: Comparing Learning Experiences in Private and State Universities

国家(计算机科学) 私营企业 业务 商业教育 高等教育 公共关系 知识管理 教育学 心理学 工商管理 政治学 计算机科学 法学 算法
作者
Mary Chris A. Austria,Marilou P. Pascual,Rodelio R. Pascual
出处
期刊:International Journal of Learning, Teaching and Educational Research [Society for Research and Knowledge Management]
卷期号:24 (8): 989-1023
标识
DOI:10.26803/ijlter.24.8.44
摘要

Artificial intelligence (AI) is reshaping business education by supporting adaptive learning, personalized feedback, and enhanced student engagement. This study investigates the role of AI in improving teaching and learning in business programs across private and public universities in Central Luzon, the Republic of the Philippines. It specifically examines how AI tools influence student learning experiences, institutional challenges, and strategies for sustainable AI integration. Using a descriptive research design, the study surveyed 100 participants—comprising students, faculty, and administrators—selected through stratified random quota sampling. Data were gathered through a validated and pilot-tested questionnaire, and analyzed using both descriptive and inferential statistics, including t-tests and weighted means. The results show that AI significantly improves academic engagement and learning outcomes across both educational sectors. Public universities report positive impacts from AI-driven feedback systems and simulations, while private institutions highlight satisfaction with AI-supported writing and summarization tools. However, disparities in AI implementation were evident. Public universities face resistance from faculty, while private institutions cite infrastructure gaps and financial constraints. Moreover, government-funded AI programs benefit public institutions, whereas private universities depend on commercial platforms. The study underscores the need for institution-specific AI strategies, prioritizing faculty development, infrastructure investment, and sustainable funding. By addressing systemic barriers and promoting equitable access to AI technologies, universities can create more inclusive and future-ready learning environments. Strategic collaboration, AI literacy programs, and ongoing evaluation are essential to fully leverage AI’s potential in preparing students for the evolving digital economy.
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