Enhancing Educational Outcomes: A Case Study Exploration of AI Applications in the Public School Setting
Artificial intelligence (AI) is recognized globally as the science of making machines that can think deeply and comprehend things like humans. AI contributes a lot in different discipline areas, including education. This case study examines public school teachers’ AI tools utilized as part of their pedagogy, its impact from the lens of teachers and learners, and how teachers overcome the challenges they face in using AI tools. Eleven (11) public school teachers participated in the study, utilizing a semi-structured interview guide to facilitate the data collection process. Using a thematic analysis, the study generates themes that serve as the answers to the inquiries. The study found that the participants utilized multiple AI tools for personalized learning, administration and instructional support, learning and literacy enhancement, and professional development. Also, participants believed that AI positively and negatively affected teachers and learners. These participants highlighted several difficulties that had negative consequences, even if AI tools had substantially contributed to their line of work. Ultimately, the study concluded that AI can enhance educational outcomes when implemented thoughtfully and strategically. Future research should continue exploring best practices, ethical considerations, and long-term impacts to ensure that AI is a tool for empowerment rather than a source of inequality. The Department of Education can harness AI to create a more dynamic, efficient, student-centered learning environment by embracing innovation while prioritizing student needs.
Authors
- Bertella G. Rabanes
- Mark Anthony N. Polinar (ORCID: https://orcid.org/0000-0002-5690-9999)
- April Marie N. Mahipos
- Joanna Marie U. Ato
Institutions
- University of the Philippines Cebu (PH)
- University of Cebu (PH)
Publication Details
- Journal
- Diversitas Journal
- Published
- 2025-05-10
- DOI
- https://doi.org/10.48017/dj.v10i2.3345
- Citations
- 1
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 1.69