The field of artificial intelligence in education is moving towards a more synergistic relationship between teachers and AI systems. Recent research has focused on developing frameworks and tools that enable more effective collaboration and automation of educational tasks, such as lesson planning and video lecture production. Noteworthy papers include: Addressing Situated Teaching Needs: A Multi-Agent Framework for Automated Slide Adaptation, which introduces a novel multi-agent framework for automating slide adaptation. MicroSims: A Framework for AI-Generated, Scalable Educational Simulations with Universal Embedding and Adaptive Learning Support, which presents a framework for creating lightweight, interactive educational simulations using artificial intelligence.