ETHICAL CHALLENGES OF GENERATIVE AI AND ACADEMIC INTEGRITY IN PHILIPPINE HIGHER EDUCATION
Description
This study used a descriptive-qualitative research design using secondary data analysis. Relevant scholarly articles, institutional reports, conference proceedings, government publications, and international journals published from 2024 to 2026 were systematically reviewed and analyzed. The study used thematic analysis to identify recurring themes and ethical concerns regarding the integration of generative AI in higher education in the Philippines.
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Steps to reproduce
The data for this study were gathered through a systematic secondary data collection process using reputable academic databases and institutional sources, including Google Scholar, Scopus Preview, National Commission for Culture and the Arts, Philippine Statistics Authority, and relevant international resources such as UNESCO publications. A structured keyword search strategy was applied using terms related to generative AI, academic integrity, higher education in the Philippines, rural Muslim communities, and cultural practices. The selection of literature followed clear inclusion and exclusion criteria, focusing on publications from 2020 to 2026 that were peer-reviewed, relevant to the research objectives, and written in English. The collected documents were screened through title, abstract, and full-text review before being included in the final analysis. Data were then extracted using a researcher-developed matrix and analyzed through thematic analysis to identify recurring patterns and themes. Microsoft Excel was used to organize and summarize frequency data, ensuring a systematic and reproducible workflow for future researchers.
Institutions
- Biliran Province State UniversityEastern Visayas, Naval