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South Korea's educational system has faced criticism for its lack of focus oncritical thinking and creativity, resulting in high levels of stress andanxiety among students. As part of the government's effort to improve theeducational system, the innovation school system was introduced in 2009, whichaims to develop students' creativity as well as their non-cognitive skills. Tobetter understand the differences between innovation and regular school systemsin South Korea, we propose a novel method that combines the latent space itemresponse model (LSIRM) with the Neyman-Scott (NS) point process model. Ourmethod accounts for the heterogeneity of items and students, capturesrelationships between respondents and items, and identifies item and studentclusters that can provide a comprehensive understanding of students'behaviors/perceptions on non-cognitive outcomes. Our analysis reveals thatstudents in the innovation school system show a higher sense of citizenship,while those in the regular school system tend to associate confidence inappearance with social ability. We compare our model with exploratory itemfactor analysis in terms of item clustering and find that our approach providesa more detailed and automated analysis.

Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process