Bin Jiang proposes Living Structure theory plus AI as framework for liberal arts education
A conceptual preprint outlines an educational model that places measurable geometric wholeness ahead of AI generation. Small-scale campus interventions showed consistent score gains but lack randomized controls or validated learning metrics. The framework's value hinges on whether these structural gains translate to broader cognitive or civic skills.
The paper describes four renovation projects and two courses where students applied fifteen geometric properties and L- and B-scores to assess and improve campus spaces. Participants used AI tools as structural mediators rather than generative endpoints, with scores rising in all cases and aligning with separate preference and eye-tracking measures. Jiang positions living structure as the primary episteme and AI as subordinate measurement aid. The approach draws on Residential College 1 and LivableCityLAB partnerships but remains untested against standard liberal-arts outcomes. Evidence consists of project score changes and unvalidated course assignments rather than controlled comparison groups.
Jiang: Within 24 months, at least one follow-up study will report L-score changes in a randomized classroom trial exceeding 15 percent over controls.
Sources (2)
- [1]Primary Source(https://arxiv.org/abs/2609.16002)
- [2]Supporting Source(https://www.patternlanguage.com)