The Wrong Test: How AI Exposed a Flaw in How We Measure Learning
How generative AI exposed a flaw in the way we assess learning, and why fixing it requires more humans, not more technology.
Searching for the texture of thought…
Assistant* Professor (Education)
Department of Methodology, LSE
* Promoted to Associate Professor (Education) from August 2026 🎉
I teach data science at LSE and study how students learn when generative AI is in the room. That question drove the
GENIAL project, where my colleagues and I developed a diagnostic framework from students’ ChatGPT conversations and Git histories. I am one of LSE’s fellows on the AI in Education Fellowship, building a proactive GenAI tutor that tracks where students are in the syllabus week by week and offers them different learning paths depending on what they need.
Generative AI in Education Data Science Education Evidence-based Teaching

AI in Education Fellow 2025–2027
Notes & Reflections
How generative AI exposed a flaw in the way we assess learning, and why fixing it requires more humans, not more technology.

How can we work with Generative AI and still preserve our critical thinking?
Cardoso-Silva, J., Sallai, D., Kearney, C., Panero, F., & Barreto, M. E. (2025). Mapping Student-GenAI Interactions onto Experiential Learning: The GENIAL Framework. SSRN Electronic Journal, 22. open_in_new
Sallai, D., Cardoso-Silva, J., Barreto, M., Panero, F., Berrada, G., & Luxmoore, S. (2024). Approach Generative AI Tools Proactively or Risk Bypassing the Learning Process in Higher Education. LSE Public Policy Review, 3(3), 7. open_in_new
De Bacco, C., Contisciani, M., Cardoso-Silva, J., et al. (2023). Latent network models to account for noisy, multiply reported social network data. JRSS Series A, qnac004. open_in_new
Panel / PIE Live Europe, London Mar 2026
Showcase / LSE Eden Centre Oct 2025
A custom Claude project setup with time-sensitive learning boundaries
Conference / Cambridge Oct 2025
Keynote / St Mary’s University, London Jun 2025