The increasing integration of artificial intelligence into online education platforms has introduced both transformative opportunities and significant ethical challenges. While autonomous systems can streamline content moderation and enhance engagement, the absence of regulated ethical boundaries often results in bias, privacy violations, and inconsistent decision-making. This research addresses these limitations by proposing an \textit{ethics-aware autonomous AI agent} designed for real-time moderation in virtual learning environments. The system integrates a layered architecture that combines a contextual reasoning module with an ethical decision engine, enabling adaptive judgment based on predefined moral and social parameters. By embedding ethical intelligence within the decision-making loop, the proposed framework enhances transparency, fairness, and accountability during automated moderation. Experimental evaluation demonstrates that the model achieves higher accuracy in identifying inappropriate or biased content while maintaining low response latency, ensuring seamless interaction in live classroom sessions. Beyond technical optimization, the study emphasizes the social imperative of human-aligned AI systems that preserve trust and integrity in digital education. This work ultimately bridges the gap between technological innovation and moral responsibility, presenting a transparent AI moderation framework capable of performing real-time ethical reasoning within modern online educational ecosystems.

Keywords: Ethical Artificial Intelligence, Autonomous Agents, Real-Time Moderation, Online Education, Explainable AI, Human-AI Collaboration, Digital Trust and Accountability