This qualitative phenomenological study examined the experiences of 3rd-year BSTM students at Glan Institute of Technology, Philippines, concerning AI integration in thesis development. The findings indicate that AI enhances efficiency in literature reviews, writing refinement, and data analysis; however, it encounters significant barriers, including unreliable infrastructure, financial constraints, and output limitations. Ethical concerns include diminished originality, superficial engagement and algorithmic bias. The study concludes that while AI provides substantial support, its responsible adoption necessitates institutional interventions to ensure equitable access, incorporate critical AI literacy training, and redesign assessments to prioritize process transparency over output expediency, thereby upholding academic integrity and authentic scholarship.
Sabillo et al. (Tue,) studied this question.
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