Artificial Intelligence (AI) in Academia: Evaluating the Impact on Graduate Students Research and Learning

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Bernadette S. Binayao

Abstract

Artificial intelligence (AI) is reshaping graduate education by enhancing academic excellence, revolutionizing research, streamlining assignments, improving academic writing, and accelerating productivity. This study examines the impact of AI integration on graduate students at Bukidnon State University for the academic year 2023-2024, highlighting both benefits and challenges. Using a mixed-methods approach, findings reveal that 65% of students possess a basic understanding of AI and leverage tools like Perplexity and ChatGPT for academic enhancement, while 30% lack familiarity, underscoring the need for targeted training. The study identifies several themes, including AI's role in simplifying research tasks and enhancing writing skills. However, challenges remain, with students facing a steep learning curve (average difficulty mean of 2.65) and technical complexity (2.63), particularly in acquiring the skills needed for effective AI use. Institutional and cognitive barriers further complicate integration, while access to resources, though rated as slightly challenging, is still essential for maximizing AI's potential. The study concludes that while AI can significantly benefit graduate studies, strategic training and support are crucial to bridge knowledge gaps and overcome integration challenges, allowing students to fully leverage AI's transformative power in academia.

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