Our paper "Quantifying interdisciplinary synergy in higher STEM education" has been published in EPJ Data Science!
posted on December 30, 2025

Our paper “Quantifying interdisciplinary synergy in higher STEM education” has been published in EPJ Data Science!

Summary

This study proposes a framework to quantify and leverage interdisciplinarity within university-level STEM (science, technology, engineering, and mathematics) curricula. By utilizing large language models (LLMs) to standardize large-scale official educational data from South Korea, we apply Pedagogical and Information Theory-based metrics to evaluate dual-field curricula. The proposed model introduces a “curriculum synergy score” showing that higher interdisciplinarity occurs in combinations of closely related engineering fields, which act as the core structures, while basic natural sciences provide the peripheral fundamental concepts.