Sociotechnical Co-Evolution and Distributed Leadership of Human-AI Writing in Hong Kong Secondary Schools

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Abstract

Writing with generative artificial intelligence (AI) is an educational innovation in Hong Kong secondary schools. This paper analyzes a longitudinal case of this innovation, bounded by a human-AI creative-writing contest. Framed by sociotechnical co-evolution and distributed leadership theories, the study examines how the contest’s pedagogical and technological features evolved across three iterations from 2021 to 2024. It maps this evolution to changes in niche factors, including architectures for learning, and landscape factors. Findings suggest both continuity and change in architectures for learning were critical for spreading and sustaining the innovation. Moreover, leadership roles emerged at niche level and were necessary for the contest's success. The study contributes conceptual tools and leadership insights to design sustainable, scalable human-AI educational innovations.

Author

• David Woo