Effective Strategies for Guided Implementation of Artificial Intelligence in General Unified Baccalaureate Programs
DOI:
https://doi.org/10.59343/yuyay.v3i2.65Keywords:
Artificial Intelligence (AI), Secondary Education, Personalized Learning, Technological Infrastructure, Ethics in EducationAbstract
This multidisciplinary research article explores effective strategies for the guided implementation of artificial intelligence (AI) in General Unified Baccalaureate (GUB) programs. AI has the potential to transform secondary education through personalized learning, improved administrative efficiency, and enhanced collaboration between students and teachers. However, implementation faces challenges such as insufficient technological infrastructure, ethical issues, and the need for continuous teacher training. The study proposes a combination of literature review and case study analysis to identify best practices and persistent barriers. The necessity of investing in technological infrastructure, integrating AI concepts into the curriculum, and training teachers in the use and implications of AI are highlighted. Additionally, the potential of AI to improve continuous assessment, provide real-time feedback, and support educational methodologies that foster critical thinking and creativity is emphasized. The objective is to provide a practical framework that is pedagogically valid, ethically sound, and inclusive, ensuring that technology serves as a bridge to more equitable and enriching educational opportunities.
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