The field of education and design is undergoing a significant transformation with the integration of generative AI. Recent developments suggest a shift towards a more unified and interdisciplinary approach, combining the strengths of various paradigms to enhance learning and creativity. The use of generative AI is being explored in various contexts, including education, urban planning, and design, with a focus on co-creative dynamics between humans and machines.

The potential of generative AI to revolutionize education is being investigated, with studies examining its impact on student learning, motivation, and career development. However, the complexities of integrating generative AI into education are also being acknowledged, including the need for a balanced approach that considers multiple goals and dimensions.

In the design realm, generative AI is being used to reimagine creative workflows, from ideation to prototyping, with a focus on aesthetic innovation and environmental sustainability. Frameworks and pipelines are being developed to facilitate human-AI co-creation, enabling designers to work collaboratively with AI systems to generate novel and innovative designs.

Noteworthy papers in this area include:

• A study on bridging MOOCs, smart teaching, and AI, which proposes a three-layer instructional framework for personalized yet scalable learning.
• A paper on human-AI co-creation, which explores the use of large language models and multimodal diffusion models as creative agents in iterative design processes.
• A proposal of the E.A.R.T.H. framework, which transforms model-generated errors into creative assets through a five-stage generative pipeline.