The Role of Generative AI in Modern Education: Trends, Frameworks, and Ethical Considerations

Generative Artificial Intelligence (GenAI) is rapidly transforming the education sector, spanning K–12 schools, higher education, and professional training. Its diverse applications, ranging from automated grading and lesson planning to personalized tutoring and adaptive content creation, are enabling educators to optimize teaching time and enhance learner engagement. Emerging tools such as ChatGPT, Google Bard (Gemini), Anthropic Claude, Microsoft Copilot, and Jasper have shown measurable benefits, including reduced study times and improved feedback quality. For instance, the AI-powered tutor Syntea reduced student study time by 27%, while intelligent tutoring systems have outperformed traditional teaching methods in 92% of evaluated cases. Despite this promise, integration brings challenges such as academic integrity risks, plagiarism, algorithmic bias, and a lack of standardized institutional policies, an issue compounded by the fact that only 28% of students report awareness of AI-use guidelines. This paper presents a structured review of recent studies, highlighting trends, benefits, risks, and gaps in GenAI adoption, and proposes strategies for equitable access, transparent governance, and long-term pedagogical alignment.