TEACHERS' VIEWS ON ARTIFICIAL INTELLIGENCE: A BASIS FOR CAPACITY BUILDING
Maricar H. Sison, Maria Blesilda H. Agapito, Niño G. Herrera
Nueva Ecija University of Science and Technology, Cabanatuan City, Philippines
Abstract
The study aimed to assess teachers' perceptions of artificial intelligence (AI), their understanding of its potential advantages and disadvantages, and the specific training needs necessary for successful AI integration. The study aimed to assess teachers' perceptions of artificial intelligence (AI), their understanding of its potential advantages and disadvantages, and the specific training needs necessary for successful AI integration. A mixed-method research design was used in collecting and analyzing quantitative and qualitative data. Descriptive statistics was utilized to delineate teachers' perspectives on AI in education. Open-ended questions were employed to gather insights into the challenges teachers encounter when using AI in the classroom. The findings revealed that teachers' experiences with AI present opportunities and challenges in integrating technology into the classroom. While teachers expressed optimism about AI's potential to enhance education, citing benefits such as personalized learning, educator support, and administrative efficiency, they also voiced concerns about increased workload, excessive student reliance on technology, algorithmic bias within AI systems, and data privacy. A balanced approach to AI integration is recommended not only that complements traditional teaching methods and addresses privacy and algorithmic bias. Schools are encouraged to offer comprehensive professional development programs for teachers to introduce AI technologies, address the ethical and practical challenges associated with their use in education, ensure equitable access to AI tools, and improve technological infrastructure.
Keywords: Artificial Intelligence, Capacity building ,Educators, Education, private schools,
Journal Name :
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EPRA International Journal of Multidisciplinary Research (IJMR)
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Published on : 2025-06-01
| Vol | : | 11 |
| Issue | : | 5 |
| Month | : | May |
| Year | : | 2025 |