Research software is crucial for Higher Degree Research (HDR), yet solo researchers often face challenges in integrating artificial intelligence (AI) tools while maintaining methodological rigor. Ka Ching Chan and colleagues from the University of Southern Queensland introduce the SHAPR framework, a Solo, Human-centred, AI-assisted Practice framework that operationalizes Action Design Research principles specifically for individual researchers. This framework provides actionable guidance for integrating reflective practices and accountability within AI-assisted software development, thereby addressing significant gaps in existing methodologies. While generative AI tools can enhance productivity, they also present risks related to transparency, authorship, and rigorous inquiry. By recognizing research artefacts as knowledge-generating instruments, the SHAPR framework promotes structured approaches that align technical development with reflective research practices. This initiative aims to empower solo researchers to navigate the complexities of AI integration effectively, ensuring that critical scholarship endures even amid rapid technological advancements. Discover more about SHAPR here.
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